IEEE HPCS Workshop on High Performance Computing Systems for Bioinformatics and Life Sciences (BILIS 2017) - Ext Deadline
I apologize for any cross-posting of this announcement. ======================================================================================== Int. Workshop on High Performance Computing Systems for Bioinformatics and Life Sciences (BILIS 2017) http://hpcs2017.cisedu.info/conference/workshops---hpcs2017/workshop17-bilis July 17 – July 21, 2017 Genoa, Italy
held in conjunction with International Conference on High Performance Computing & Simulation (HPCS 2017) http://hpcs17.cisedu.info/ ======================================================================================== * * * CALL FOR PAPERS * * * EXTENDED Submission Deadline: April 15, 2017 Submissions could be for full papers, short papers, poster papers, or posters ======================================================================================== IMPORTANT DATES Paper Submissions: --------------------------------- April 15, 2017 - Extended Acceptance Notification: --------------------------- April 28, 2017 Camera Ready Papers and Registration Due by: ------- May 11, 2017 Conference Dates: --------------------------------- July 17 – 21, 2017 ========================================================================================
SCOPE AND OBJECTIVES Incorporating new advancements of Information Technology (IT) in general and High Performance Computing (HPC) in particular in the domain of Life Sciences and Biomedical Research continues to receive tremendous attention of researchers, biomedical institutions and the rest of the biomedical community. Although medical instruments have benefited a great deal from the technological advances of the couple of decades, the impact of integrating IT advancements in addressing critical problems in biomedical research remains limited and the process of penetrating IT tools in the medical profession continues to be a very challenging problem. For example, the use of electronic medical records and Hospital Information Systems in improving health care remains fragmented. Similarly, the use of advanced computational tools seamlessly in the biomedical research cycle continues to be minimal.
Due to the computational intensive problems in life sciences, the marriage between the Bioinformatics domain and high performance computing is critical to the advancement of Biosciences. In addition, the problems in this domain tend to be highly parallelizable and deal with large datasets, hence using HPC is a natural fit. The Bioinformatics domain is rich in applications that require extracting useful information from very large and continuously growing sequence of databases. Most methods used for analyzing DNA/Protein sequences are known to be computationally intensive, providing motivation for the use of powerful computational systems with high throughput characteristics.
Moreover, high-throughput wet lab platforms such as next generation sequencing, microarray and mass spectrometry, are producing a huge amount of experimental "omics" data. The increasing availability of omics data poses new challenges to bioinformatics applications that need to face in a semi-automatic way an overwhelming availability of raw data. Main challenges regard: 1) the efficient storage, retrieval and integration of experimental data; 2) their efficient and high-throughput preprocessing and analysis; 3) the building of reproducible "in silico" experiments; 4) the integration of analysis results with pre-existing knowledge usually stored into ontologies.
As the storage, preprocessing and analysis of raw experimental data is becoming the main bottleneck of the analysis pipeline, parallel computing is playing an important role in all steps of the life sciences research pipeline, from raw data management and processing, to data integration and analysis, and to data exploration and visualization. Moreover, Cloud Computing is becoming the key technology to hide the complexity of computing infrastructures, to reduce the cost of the data analysis task, and especially to change the overall business model of biomedical research and health provision.
Considering the complex analysis pipeline of the biomedical research, the bottleneck is more and more moving toward the storage, integration, and analysis of experimental data, as well as their correlation and integration with publicly available data banks In such a scenario, large-scale distributed databases and parallel bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine.
In the current Information age, further progress of Medical Sciences requires successful integration with Computational and Information Sciences. The workshop attempts to attract innovative ways of how such integration can be achieved via Bioinformatics and Biomedical Informatics research, particularly in taking advantage of the new advancements in HPC systems. The focus of data analysis and data mining tools in biomedical research highlights the current state of research in the key biomedical research areas such as bioinformatics, medical informatics and biomedical imaging. Addressing performance concerns in managing and accessing medical data, while facilitating the ability to integrate and correlate different biomedical databases remains an outstanding problem in biomedical research. The amount of available biomedical data continues to grow in an exponential rate; however, the impact of utilizing such resources remains minimal. The development of innovative tools in HPC environments to integrate, analyze and mine such data sources is a key step towards achieving large impact levels.
The workshop focuses on topics related to the utilization of HPC systems and new models of parallel computing and cloud computing in problems related to Biomedical Informatics and Life Sciences, along with the use of data integration and data mining tools to support biomedical research and Health Care.
The BILIS Workshop topics include (but are not limited to) the following: HPC for the Analysis of Biological Data Bioinformatics Tools for Health Care Parallel Algorithms for Bioinformatics Applications Ontologies in Biology and Medicine Integration and Analysis of Molecular and Clinical Data Parallel Bioinformatics Algorithms Algorithms and Tools for Biomedical Imaging and Medical Signal Processing Energy Aware Scheduling Techniques for Large Scale Biomedical Applications HPC for analyzing Biological Networks Next Generation Sequencing and Advanced Tools for DNA Assembly HPC for Gene, Protein/RNA Analysis and Structure Prediction Identification of Biomarkers Biomedical Visualization Tools Efficient Clustering and Classification Algorithms Correlation Networks in Biomedical Research Data Mining Techniques in Biomedical Applications Heterogeneous Data Integration HPC systems for Ontology and Database Integration Pattern Recognition and Search Tools in Biological and Clinical Databases Ubiquitous Medical Knowledge Discovery and Exchange HPC for Monitoring and Treatment Facilities Drug Design and Modeling Computer Assisted Surgery and Medical Procedures Remote Patient Monitoring, Homecare Applications Mobile and Wireless Healthcare and Biomedical Applications Cloud Computing for Bioinformatics, Medicine, and Health Systems
INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above and other topics related to HPC for Bioinformatics, Healthcare and Life Sciences. Submitted papers must not have been published or simultaneously submitted elsewhere. For Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. Short papers (up to 4 pages), poster papers and posters (please refer to http://hpcs2017.cisedu.info/1-call-for-papers-and-participation/call-for-pos... for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments.
Submit a PDF copy of your full manuscript to the workshop organizers via email as attachments to Hesham Ali: hali@unomaha.edu, Mario Cannataro: cannataro@unicz.it. Acknowledgement will be sent within 48 hours of submission.
Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2017 conference to present the paper at the workshop.
PROCEEDINGS Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2017 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly.
SPECIAL ISSUE Plans are underway to have the best papers, in extended version, selected for possible publication in a journal as special issue. Detailed information will soon be announced and will be made available on the conference website.
If you have any questions about paper submission or the workshop, please contact the workshop organizers.
IMPORTANT DATES Paper Submissions: ------------------------------------ April 15, 2017 - Extended Acceptance Notification: ------------------------------ April 28, 2017 Camera Ready Papers and Registration Due by: ---------- May 11, 2017 Conference Dates: ------------------------------------ July 17 – 21, 2017
WORKSHOP ORGANIZERS
Prof. Hesham H. Ali Department of Computer Science College of Information Science and Technology University of Nebraska at Omaha Omaha, NE 68182 USA Email: hesham@unomaha.edu
Prof. Mario Cannataro Department of Medical and Surgical Sciences University "Magna Græcia" of Catanzaro Viale Europa (Località Germaneto) 88100 Catanzaro, Italy Email: cannataro@unicz.it
======================================================================================== 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM17)
http://muii.missouri.edu/bibm2017/
November 13-16, 2017
Kansas City, MO, USA
======================================================================================== * * * CALL FOR PAPERS * * *
The IEEE International Conference on Bioinformatics and Biomedicine (BIBM) has established itself as the premier research conference in bioinformatics and biomedicine. IEEE BIBM 2017 provides a leading forum for disseminating the latest research in bioinformatics and health informatics. It brings together academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics and statistics.
We solicit high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics and biomedicine. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration; modeling and simulation and their application in life science domain are especially encouraged Relevant topics include but are not limited to:
1. Genomics and Molecular Structure, Function and Evolution a. Next-Gen Sequencing and Metagenomics b. Evolution, Phylogeny, Comparative Genomics c. SNPs and haplotype analysis, GWAS d. Protein/RNA Structure, Function and Interactions
2. Computational Systems Biology a. Transcriptomics - Microarray Data Analysis b. Gene Regulation, Alternative Splicing, Network/Pathway Analysis c. Proteomics, PTMs, Metabolomics d. Epigenomics, non-coding RNA analysis, DNA methylation analysis
3. Medical Informatics and Translational Bioinformatics a. Biomedical Intelligence, Clinical Data Analysis, and Electronic Health Record b. Biomedical Signal/Image Analysis c. Genome-Phenome Analysis d. Biomarker Discovery
4. Cross-Cutting Computational Methods and Bioinformatics Infrastructure a. Biomedical Text Mining and Ontologies b. Biological Data Mining and Visualization c. Computational Modeling and Data Integration d. High Performance Computing
5. Healthcare Informatics a. Healthcare knowledge representation & reasoning b. Health data acquisition, analysis and mining c. Healthcare information systems d. Clinical Decision Support and Informatics
INDUSTRIAL TRACK The Industrial Track solicits papers describing implementations of Bioinformatics and Biomedicine solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of bioinformatics and biomedicine technologies in industry. We accept full papers (up to 8 pages), extended abstracts (2-4 pages), as well as short abstracts (1 page, 500 words).
JOURNAL SPECIAL ISSUES: IEEE BIBM has a tradition to publish selected papers as special issues in highly respected journals. We will publish the special issues publications with 10 journals: IEEE Transactions on NanoBiosceince, IEEE/ACM Transactions on Bioinformatics and Computational Biology, International Journal of Data Mining and Bioinformatics, Proteomics, BMC Genomics, BMC Bioinformatics, BMC System Biology, BMC Medical genomics, BMC Medical Informatics and Decision Making, Methods (In the past BIBM conference, the number of special issues are: IEEE BIBM 2016 – 9 special issues, IEEE BIBM 2015 – 9 special issues, BIBM 2014 – 10 special issues, BIBM 2013 –9 special issues, BIBM 2012—8 special issues, BIBM 2011—8 special issue, BIBM 2010—7 special issues, BIBM 2009—4 special issues; BIBM 2008—4 special issues)
STUDENT TRAVEL AWARDS: BIBM 2017 will offer as many as possible student travel awards to student authors (including post-doc). We have received a NSF grant for student travel award and expect to offer 25-30 student travel awards. (BIBM 2016 – 36 student travel award, BIBM 2015 – 30 student travel award, BIBM 2014—25 student travel awards, BIBM 2013—40 student travel awards, BIBM 2012 -30 student travel awards, BIBM 2011—28 student travel awards, BIBM 2010-22 student travel awards, BIBM 2009—16 student travel awards )
PAPER SUBMISSION: Please submit a full-length paper (upto 8 page IEEE 2-column format) through the online submission system (you can download the format instruction here (http://www.ieee.org/conferences_events/conferences/publishing/templates.html ). Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
ONLINE SUBMISSION: https://wi-lab.com/cyberchair/2017/bibm17/index.php
IMPORTANT DATES: Electronic submission of full papers: Aug. 1, 2017 Notification of paper acceptance: Sept 20, 2017 Camera-ready of accepted papers: Oct 10, 2017 Conference: Nov 13-16, 2017 ========================================================================================
I apologize for any cross-posting of this announcement ======================================================================================== 6th International Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio) http://staff.icar.cnr.it/cannataro/parbio2017/
held in conjunction with ACM BCB 2017 ACM Conference on Bioinformatics, Computational Biology and Health Informatics August 20-23, 2017 Boston, MA, USA http://acm-bcb.org/ ======================================================================================== * * * CALL FOR PAPERS * * * ======================================================================================== IMPORTANT DATES Paper submission: May 28, 2017 Notifications sent to authors: June 12, 2017 Camera-ready papers due: June 21, 2017 (THIS IS A FIRM DEADLINE) Workshop: August 20, 2017 ========================================================================================
Due to the availability of high-throughput platforms (e.g. next generation sequencing, microarray and mass spectrometry) and clinical diagnostic tools (e.g. medical imaging), a recent trend in Bioinformatics and Biomedicine is the increasing production of experimental and clinical data. Considering the complex analysis pipeline of the biomedical research, the bottleneck is more and more moving toward the storage, integration, and analysis of experimental data, as well as their correlation and integration with publicly available data banks.
While Parallel Computing and Grid Computing may offer the computational power and the storage to face this overwhelming availability of data, Cloud Computing is a key technology to hide the complexity of computing infrastructures, to reduce the cost of the data analysis task, and especially to change the overall model of biomedical research and health provision.
Grid infrastructures may offer the data storage needed to store the huge experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST, mpiBLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data.
On the other hand, these technologies yet require great investments by biomedical and clinical institutions and are based on a traditional model where users often need to be aware and face different management problems, such as hardware and software management, data storage, software ownership, and not scalable costs (different professional-level applications in the biomedical domain have high starting costs that prevent many small laboratories to use them).
The Cloud Computing technology, that is able to offer scalable costs and increased reachability, availability and easiness of application use, and also the possibility to enforce collaboration among scientists, is already changing the business model in different domains and now it starts to be used also in the bioinformatics (see for instance the recent JCVI Cloud Bio-Linux initiative) and biomedical domains. However, many problems remain to be solved, such as availability and safety of the data, privacy-related issues, availability of software platforms for rapid deployment, execution and billing of biomedical applications.
The goal of ParBio 2017 is to bring together scientists in the fields of high performance and cloud computing, computational biology and medicine, to discuss, among the others, the organization of large scale biological and biomedical databases, the parallel/service-based implementation of bioinformatics and biomedical applications, and problems and opportunities of moving biomedical and health applications on the cloud.
The workshop will focus on research issues, problems and opportunities of moving biomedical and health applications on the cloud, as well as on the opportunity to define guidelines and minimum requirements for a Biomedical Cloud. Moreover, the workshop will discuss about parallel and distributed management and analysis of molecular and clinical data, that more and more need to be integrated and analyzed in a joint way.
TOPICS OF INTEREST The main themes and research topics will regard the applications of parallel and high performance computing to biology and medicine, as well as Cloud Computing opportunities and problems for bioinformatics and biomedical applications
- Large scale biological and biomedical databases - Data integration and ontologies in biology and medicine - Integration and analysis of molecular and clinical data - Parallel bioinformatics algorithms - Parallel visualization and exploration of omics and clinical data - Parallel visualization and analysis of biomedical images - Computing environments for large scale collaboration - Scientific workflows in bioinformatics and biomedicine - Emerging architectures and programming models for bioinformatics and biomedicine - Parallel processing of bio-signals - Modeling and simulation of complex biological processes - Cloud Computing for bioinformatics and biomedicine - Cloud Computing for health systems - Privacy issues for Cloud-based biomedical applications - (Web) Services for bioinformatics and biomedicine - Grid Computing for bioinformatics and biomedicine - Peer-To-Peer Computing for bioinformatics and biomedicine
PROGRAM The workshop will take place on August 20, 2017 It is scheduled as half-day The program is not available yet.
PAPER SUBMISSION, REGISTRATION AND PUBLICATION ParBio 2017 welcomes original submissions that have not been published and that are not under review by another conference or journal. Papers should not exceed 10 pages in ACM template on 8.5 x 11 inch paper (see ACM templates - http://www.acm.org/sigs/publications/proceedings-templates). All submissions will be evaluated on their originality, technical soundness, significance, presentation, and interest to the conference attendees. Submission implies the willingness of at least one of the authors to register and present the work associated with the paper submitted. ParBio’s technical program committee will review all submitted papers. All accepted papers of registered authors will be included in the workshop proceedings published by ACM digital libraries. Authors of selected papers may be invited to adapt their papers for their publication in several journals. Authors of accepted papers will be required to submit an online ACM Copyright Form. Authors will be contacted by ACM requesting this information. (Note that ACM copyright permissions are directly compatible with NIH and similar open access policies, see http://authors.acm.org/main.html for more information.). Authors should submit papers using the ParBio2016 Easy Chair Installation (https://easychair.org/conferences/?conf=parbio2017)
IMPORTANT DATES Paper submission: May 28, 2017 Notifications sent to authors: June 12, 2017 Camera-ready papers due: June 21, 2017 (THIS IS A FIRM DEADLINE) Workshop: August 20, 2017
WORKSHOP ORGANIZERS Prof. Mario Cannataro Prof. John A. Springer Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Italy Department of Computer and Information Technology, Purdue University, USA
PROGRAM COMMITTEE
Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy Pratul K. Agarwal, Oak Ridge National Laboratory, USA Marian Bubak, AGH Krakow, PL, and University of Amsterdam, NL Umit Catalyurek, The Ohio State University, USA Jake Y. Chen, Indiana University - Purdue University Indianapolis (IUPUI), USA Tim Clark, Harvard Medical School, USA Giuseppe Di Fatta, University of Reading, UK Werner Dubitzky, University of Ulster, UK Ananth Y. Grama, Purdue University, USA Concettina Guerra, Georgia Institute of Technology, USA Pietro Hiram Guzzi, University Magna Graecia of Catanzaro, Italy Kamer Kaya, The Ohio State University, USA Salvatore Orlando, University of Venezia, Italy Maria S. Perez, Universidad Politecnica de Madrid, Madrid, Spain Richard Sinnott, University of Melbourne, Melbourne, Australia Roberto Tagliaferri, University of Salerno, Italy Paolo Trunfio, University of Calabria, Italy Pierangelo Veltri, University Magna Graecia of Catanzaro, Italy Albert Zomaya, University of Sydney, Australia
I apologize for any cross-posting of this announcement ======================================================================================== 7th International Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio) http://staff.icar.cnr.it/cannataro/parbio2018/
held in conjunction with ACM BCB 2018 ACM Conference on Bioinformatics, Computational Biology and Health Informatics
Washington DC Aug 29- Sept 1, 2018 http://acm-bcb.org/ ======================================================================================== * * * CALL FOR PAPERS * * * ======================================================================================== IMPORTANT DATES Paper submission: June 11, 2018 Notifications sent to authors: June 18, 2018 Camera-ready papers due: June 25, 2018 (THIS IS A FIRM DEADLINE) Workshop: Aug 29, 2018 ======================================================================================== GOALS Due to the availability of high-throughput platforms (e.g. next generation sequencing, microarray and mass spectrometry) and clinical diagnostic tools (e.g. medical imaging), a recent trend in Bioinformatics and Biomedicine is the increasing production of experimental and clinical data. Considering the complex analysis pipeline of the biomedical research, the bottleneck is more and more moving toward the storage, integration, and analysis of experimental data, as well as their correlation and integration with publicly available datasets.
While Parallel Computing and Grid Computing may offer the computational power and storage capacity to face this overwhelming availability of data, Cloud Computing is a key technology to hide the complexity of computing infrastructures, to reduce the cost of the data analysis task, and especially to change the overall model of biomedical research and health provision.
Grid infrastructures may offer the data storage needed to store the huge experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST, mpiBLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data.
On the other hand, these technologies require great investments by biomedical and clinical institutions, and are based on a traditional model where users often need to be aware and face different management problems, such as hardware and software management, data storage, software ownership, and non-scalable costs (different professional-level applications in the biomedical domain have high starting costs that prevent many small laboratories to use them).
The Cloud Computing technology, that is able to offer scalable costs and increased reachability, availability and easiness of application use, and also the possibility to enable collaboration among scientists, is already changing the business model in different domains and now it starts to be used also in the bioinformatics (see for instance the recent JCVI Cloud Bio-Linux initiative) and biomedical domains. However, many problems remain to be solved, such as availability and safety of the data, privacy-related issues, availability of software platforms for rapid deployment, execution and billing of biomedical applications.
The goal of ParBio 2018 is to bring together scientists in the fields of high performance and cloud computing, computational biology and medicine, to discuss, the organization of large scale biological and biomedical databases, the parallel/service-based implementation of bioinformatics and biomedical applications, and problems and opportunities of moving biomedical and health applications on the cloud.
The workshop will focus on research issues, problems, and opportunities of moving biomedical and health applications to the cloud, as well as on the opportunity to define guidelines and minimum requirements for a Biomedical Cloud. Moreover, the workshop will discuss parallel and distributed management and analysis of molecular and clinical data, that more and more need to be integrated and analyzed in a joint way.
TOPICS OF INTEREST The main themes and research topics of interest will regard the applications of parallel and high performance computing to biology and medicine, as well as Cloud Computing opportunities and problems for bioinformatics and biomedical applications, including:
- Large scale biological and biomedical databases - Data integration and ontologies in biology and medicine - Integration and analysis of molecular and clinical data - Parallel bioinformatics algorithms - Parallel visualization and exploration of omics and clinical data - Parallel visualization and analysis of biomedical images - Computing environments for large scale collaboration - Scientific workflows in bioinformatics and biomedicine - Emerging architectures and programming models for bioinformatics and biomedicine - Parallel processing of bio-signals - Modeling and simulation of complex biological processes - Cloud Computing for bioinformatics and biomedicine - Cloud Computing for health systems - Privacy issues for Cloud-based biomedical applications - (Web) Services for bioinformatics and biomedicine - Grid Computing for bioinformatics and biomedicine - Peer-To-Peer Computing for bioinformatics and biomedicine
PROGRAM The workshop is scheduled as a half-day workshop and will take place on August 29, 2018. The program is not available yet.
PAPER SUBMISSION, REGISTRATION AND PUBLICATION ParBio 2018 welcomes original submissions that have not been published and that are not under review by another conference or journal. Papers should not exceed 10 pages in ACM template on 8.5 x 11 inch paper (see ACM templates - http://www.acm.org/sigs/publications/proceedings-templates). All submissions will be evaluated on their originality, technical soundness, significance, presentation, and interest to the conference attendees.
Submission implies the willingness of at least one of the authors to register and present the work associated with the paper submitted. ParBio’s technical program committee will review all submitted papers. All accepted papers of registered authors will be included in the workshop proceedings published by ACM digital libraries. Authors of selected papers may be invited to adapt their papers for their publication in several journals. Authors of accepted papers will be required to submit an online ACM Copyright Form. Authors will be contacted by ACM requesting this information. (Note that ACM copyright permissions are directly compatible with NIH and similar open access policies, see http://authors.acm.org/main.html for more information.). Authors should submit papers using the ParBio2018 Easy Chair Installation (https://easychair.org/conferences/?conf=parbio2018)
IMPORTANT DATES Paper submission: June 11, 2018 Notifications sent to authors: June 18, 2018 Camera-ready papers due: June 25, 2018 (THIS IS A FIRM DEADLINE) Workshop: Aug 29, 2018
WORKSHOP ORGANIZERS Dr. Giuseppe Agapito, Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Italy Dr. Wes Lloyd, Institute of Technology, University of Washington - TacomaTacoma, Washington, USA
PROGRAM COMMITTEE Pratul K. Agarwal, Oak Ridge National Laboratory, USA
Marian Bubak, AGH Krakow, PL, and University of Amsterdam, NL
Umit Catalyurek, The Ohio State University, USA
Jake Y. Chen, Indiana University - Purdue University Indianapolis (IUPUI), USA
Tim Clark, Harvard Medical School, USA
Giuseppe Di Fatta, University of Reading, UK
Werner Dubitzky, University of Ulster, UK
Ling Hong Hung, University of Washington – Tacoma, USA
Ananth Y. Grama, Purdue University, USA
Concettina Guerra, Georgia Institute of Technology, USA
Pietro Hiram Guzzi, University Magna Graecia of Catanzaro, Italy
Kamer Kaya, The Ohio State University, USA
Salvatore Orlando, University of Venezia, Italy
Maria S. Perez, Universidad Politecnica de Madrid, Madrid, Spain
Shruti Ramesh, Micrsosoft, Redmond, WA USA
Richard Sinnott, University of Melbourne, Melbourne, Australia
Roberto Tagliaferri, University of Salerno, Italy
Paolo Trunfio, University of Calabria, Italy
Pierangelo Veltri, University Magna Graecia of Catanzaro, Italy
Albert Zomaya, University of Sydney, Australia
I apologize for any cross-posting of this announcement. ===================================================================== 8th International Workshop on High Performance Bioinformatics and Biomedicine (HiBB) http://staff.icar.cnr.it/cannataro/hibb2017/
held in conjunction with BIBM 2017 Kansas City, MO, USA November 13-16, 2017 http://muii.missouri.edu/bibm2017/ ===================================================================== SUBMISSION DEADLINE: SEPTEMBER 20, 2017 ===================================================================== * * * CALL FOR PAPERS * * * ===================================================================== CALL FOR PAPERS High-throughput technologies (e.g. microarray, mass spectrometry, NGS) and clinical diagnostic tools (e.g. medical imaging) are producing an increasing amount of experimental and clinical data. In such a scenario, large-scale databases and bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine. High-performance computing may play an important role in many phases of life sciences research, from raw data management and processing, to data analysis and integration, till data exploration and visualization. In particular, at the raw data layer, Grid infrastructures may offer the huge data storage needed to store experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data. At an higher layer, emerging biomedical applications need to use in a coordinated way both bioinformatics tools, biological data banks and patient’s clinical data, that require seamless integration, privacy preservation and controlled sharing. Service Oriented Architectures and semantic technologies, such as ontologies, may allow the building and deployment of the so-called collaboratories where remote scientists may conduct experimental research in a collaborative way. The goal of HiBB is to bring together scientists in the fields of bioinformatics, biomedicine, medical informatics, high performance computing, as well as scientists working in biology and medicine, to discuss, among the others, the challenges and the requirements posed by novel data analysis pipelines for the management and analysis of omics data, that are more and more produced by high-throughput experimental platforms as well as diagnostic tools. Furthermore, the use of novel parallel architectures and dedicated hardware to implement bioinformatics and biomedical algorithms will be discussed.
TOPICS OF INTEREST The workshop is seeking original research papers presenting applications of parallel and high performance computing to biology and medicine. Topics of interest include, but are not limited to:
- High performance data mining for bioinformatics and biomedicine. - Large scale biological and biomedical databases - Data integration and ontologies in biology and medicine - Parallel bioinformatics algorithms - Parallel visualization and exploration of biomedical data - Parallel visualization and analysis of biomedical images - Computing environments for large scale collaboration - Scientific workflows in bioinformatics and biomedicine - Services for bioinformatics and biomedicine - Cloud Computing for bioinformatics and biomedicine - Peer-To-Peer Computing for bioinformatics and biomedicine - Emerging architectures and programming models for bioinformatics and biomedicine - Parallel processing of bio-signals - Modeling and simulation of complex biological processes
PROGRAM The workshop will take place on November 13-16, 2017 (To Be Announced). It is scheduled as half-day. The program is not available yet.
PAPER SUBMISSION, REGISTRATION AND PUBLICATION
Please submit a full-length paper (up to 8 page IEEE 2-column format) through the BIBM-2017 Workshops submission system: https://wi-lab.com/cyberchair/2017/bibm17/scripts/ws_submit.php You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
IMPORTANT DATES Sept 20, 2017: Due date for full workshop papers submission Oct 10, 2017: Notification of paper acceptance to authors Oct 25, 2017: Camera-ready of accepted papers Nov 13-16, 2017: Workshop
JOURNAL SPECIAL ISSUE After of the workshop, we plan to invite the best papers of the workshop for a special issue of an international journal.
WORKSHOP ORGANIZER Mario Cannataro, University Magna Graecia of Catanzaro, Italy
PROGRAM COMMITTEE (TO BE CONFIRMED) 1. Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy 2. Pratul K. Agarwal, Oak Ridge National Laboratory, USA 3. Ignacio Blanquer; Universidad Politecnica de Valencia, Valencia, Spain 4. Giuseppe Di Fatta, University of Reading, UK 5. Werner Dubitzky, University of Ulster, UK 6. Ananth Y. Grama, Purdue University, USA 7. Concettina Guerra, Georgia Institute of Technology, USA 8. Vicente Hernandez, Univ. Politecnica de Valencia, Spain 9. Salvatore Orlando, University of Venezia, Italy 10. Horacio Perez-Sanchez, University of Murcia, Spain 11. Laura Ricci, University of Pisa, Italy 12. Richard Sinnott, University of Melbourne, Melbourne, Australia 13. Paolo Trunfio, University of Calabria, Italy 14. Albert Zomaya, University of Sydney, Australia
I apologize for any cross-posting of this announcement. ===================================================================== 9th International Workshop on High Performance Bioinformatics and Biomedicine (HiBB) http://staff.icar.cnr.it/cannataro/hibb2018/
held in conjunction with BIBM 2018 Madrid, Spain December 3-6, 2018 http://orienta.ugr.es/bibm2018/ ===================================================================== SUBMISSION DEADLINE: SEPTEMBER 30, 2018 ===================================================================== * * * CALL FOR PAPERS * * * ===================================================================== CALL FOR PAPERS High-throughput technologies (e.g. microarray, mass spectrometry, NGS) and clinical diagnostic tools (e.g. medical imaging) are producing an increasing amount of experimental and clinical data. In such a scenario, large-scale databases and bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine. High-performance computing may play an important role in many phases of life sciences research, from raw data management and processing, to data analysis and integration, till data exploration and visualization. In particular, at the raw data layer, Grid infrastructures may offer the huge data storage needed to store experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data. At an higher layer, emerging biomedical applications need to use in a coordinated way both bioinformatics tools, biological data banks and patient’s clinical data, that require seamless integration, privacy preservation and controlled sharing. Service Oriented Architectures and semantic technologies, such as ontologies, may allow the building and deployment of the so-called collaboratories where remote scientists may conduct experimental research in a collaborative way. The goal of HiBB is to bring together scientists in the fields of bioinformatics, biomedicine, medical informatics, high performance computing, as well as scientists working in biology and medicine, to discuss, among the others, the challenges and the requirements posed by novel data analysis pipelines for the management and analysis of omics data, that are more and more produced by high-throughput experimental platforms as well as diagnostic tools. Furthermore, the use of novel parallel architectures and dedicated hardware to implement bioinformatics and biomedical algorithms will be discussed.
TOPICS OF INTEREST The workshop is seeking original research papers presenting applications of parallel and high performance computing to biology and medicine. Topics of interest include, but are not limited to:
- High performance data mining for bioinformatics and biomedicine. - Large scale biological and biomedical databases - Data integration and ontologies in biology and medicine - Parallel bioinformatics algorithms - Parallel visualization and exploration of biomedical data - Parallel visualization and analysis of biomedical images - Computing environments for large scale collaboration - Scientific workflows in bioinformatics and biomedicine - Services for bioinformatics and biomedicine - Cloud Computing for bioinformatics and biomedicine - Peer-To-Peer Computing for bioinformatics and biomedicine - Emerging architectures and programming models for bioinformatics and biomedicine - Parallel processing of bio-signals - Modeling and simulation of complex biological processes
PROGRAM The workshop will take place on November 13-16, 2017 (To Be Announced). It is scheduled as half-day. The program is not available yet.
PAPER SUBMISSION, REGISTRATION AND PUBLICATION
Please submit a full-length paper (up to 8 page IEEE 2-column format) through the BIBM-2017 Workshops submission system: https://wi-lab.com/cyberchair/2017/bibm17/scripts/ws_submit.php You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
IMPORTANT DATES Sept 30, 2018: Due date for full workshop papers submission Oct 27, 2018: Notification of paper acceptance to authors Nov 15, 2018: Camera-ready of accepted papers Dec 3-6, 2018: Workshop
JOURNAL SPECIAL ISSUE After of the workshop, we plan to invite the best papers of the workshop for a special issue of an international journal.
WORKSHOP ORGANIZER Mario Cannataro, University Magna Graecia of Catanzaro, Italy
PROGRAM COMMITTEE (TO BE CONFIRMED) 1. Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy 2. Pratul K. Agarwal, Oak Ridge National Laboratory, USA 3. Ignacio Blanquer; Universidad Politecnica de Valencia, Valencia, Spain 4. Giuseppe Di Fatta, University of Reading, UK 5. Werner Dubitzky, University of Ulster, UK 6. Ananth Y. Grama, Purdue University, USA 7. Concettina Guerra, Georgia Institute of Technology, USA 8. Vicente Hernandez, Univ. Politecnica de Valencia, Spain 9. Salvatore Orlando, University of Venezia, Italy 10. Horacio Perez-Sanchez, University of Murcia, Spain 11. Laura Ricci, University of Pisa, Italy 12. Richard Sinnott, University of Melbourne, Melbourne, Australia 13. Paolo Trunfio, University of Calabria, Italy 14. Albert Zomaya, University of Sydney, Australia
I apologize for any cross-posting of this announcement. ===================================================================== 9th International Workshop on High Performance Bioinformatics and Biomedicine (HiBB) http://staff.icar.cnr.it/cannataro/hibb2018/
held in conjunction with BIBM 2018 Madrid, Spain December 3-6, 2018 http://orienta.ugr.es/bibm2018/ ===================================================================== SUBMISSION DEADLINE: SEPTEMBER 30, 2018 ===================================================================== * * * CALL FOR PAPERS * * * ===================================================================== CALL FOR PAPERS High-throughput technologies (e.g. microarray, mass spectrometry, NGS) and clinical diagnostic tools (e.g. medical imaging) are producing an increasing amount of experimental and clinical data. In such a scenario, large-scale databases and bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine. High-performance computing may play an important role in many phases of life sciences research, from raw data management and processing, to data analysis and integration, till data exploration and visualization. In particular, at the raw data layer, Grid infrastructures may offer the huge data storage needed to store experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data. At an higher layer, emerging biomedical applications need to use in a coordinated way both bioinformatics tools, biological data banks and patient’s clinical data, that require seamless integration, privacy preservation and controlled sharing. Service Oriented Architectures and semantic technologies, such as ontologies, may allow the building and deployment of the so-called collaboratories where remote scientists may conduct experimental research in a collaborative way. The goal of HiBB is to bring together scientists in the fields of bioinformatics, biomedicine, medical informatics, high performance computing, as well as scientists working in biology and medicine, to discuss, among the others, the challenges and the requirements posed by novel data analysis pipelines for the management and analysis of omics data, that are more and more produced by high-throughput experimental platforms as well as diagnostic tools. Furthermore, the use of novel parallel architectures and dedicated hardware to implement bioinformatics and biomedical algorithms will be discussed.
TOPICS OF INTEREST The workshop is seeking original research papers presenting applications of parallel and high performance computing to biology and medicine. Topics of interest include, but are not limited to:
- High performance data mining for bioinformatics and biomedicine. - Large scale biological and biomedical databases - Data integration and ontologies in biology and medicine - Parallel bioinformatics algorithms - Parallel visualization and exploration of biomedical data - Parallel visualization and analysis of biomedical images - Computing environments for large scale collaboration - Scientific workflows in bioinformatics and biomedicine - Services for bioinformatics and biomedicine - Cloud Computing for bioinformatics and biomedicine - Peer-To-Peer Computing for bioinformatics and biomedicine - Emerging architectures and programming models for bioinformatics and biomedicine - Parallel processing of bio-signals - Modeling and simulation of complex biological processes
PROGRAM The workshop will take place on November 13-16, 2017 (To Be Announced). It is scheduled as half-day. The program is not available yet.
PAPER SUBMISSION, REGISTRATION AND PUBLICATION
Please submit a full-length paper (up to 8 page IEEE 2-column format) through the BIBM-2017 Workshops submission system: https://wi-lab.com/cyberchair/2017/bibm17/scripts/ws_submit.php You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
IMPORTANT DATES Sept 30, 2018: Due date for full workshop papers submission Oct 27, 2018: Notification of paper acceptance to authors Nov 15, 2018: Camera-ready of accepted papers Dec 3-6, 2018: Workshop
JOURNAL SPECIAL ISSUE After of the workshop, we plan to invite the best papers of the workshop for a special issue of an international journal.
WORKSHOP ORGANIZER Mario Cannataro, University Magna Graecia of Catanzaro, Italy
PROGRAM COMMITTEE (TO BE CONFIRMED) 1. Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy 2. Pratul K. Agarwal, Oak Ridge National Laboratory, USA 3. Ignacio Blanquer; Universidad Politecnica de Valencia, Valencia, Spain 4. Giuseppe Di Fatta, University of Reading, UK 5. Werner Dubitzky, University of Ulster, UK 6. Ananth Y. Grama, Purdue University, USA 7. Concettina Guerra, Georgia Institute of Technology, USA 8. Vicente Hernandez, Univ. Politecnica de Valencia, Spain 9. Salvatore Orlando, University of Venezia, Italy 10. Horacio Perez-Sanchez, University of Murcia, Spain 11. Laura Ricci, University of Pisa, Italy 12. Richard Sinnott, University of Melbourne, Melbourne, Australia 13. Paolo Trunfio, University of Calabria, Italy 14. Albert Zomaya, University of Sydney, Australia
I apologize for any cross-posting of this announcement. ===================================================================== 9th International Workshop on High Performance Bioinformatics and Biomedicine (HiBB) http://staff.icar.cnr.it/cannataro/hibb2018/
held in conjunction with BIBM 2018 Madrid, Spain December 3-6, 2018 http://orienta.ugr.es/bibm2018/ ===================================================================== EXTENDED SUBMISSION DEADLINE: OCTOBER 15, 2018 ===================================================================== * * * CALL FOR PAPERS * * * ===================================================================== CALL FOR PAPERS High-throughput technologies (e.g. microarray, mass spectrometry, NGS) and clinical diagnostic tools (e.g. medical imaging) are producing an increasing amount of experimental and clinical data. In such a scenario, large-scale databases and bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine. High-performance computing may play an important role in many phases of life sciences research, from raw data management and processing, to data analysis and integration, till data exploration and visualization. In particular, at the raw data layer, Grid infrastructures may offer the huge data storage needed to store experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data. At an higher layer, emerging biomedical applications need to use in a coordinated way both bioinformatics tools, biological data banks and patient’s clinical data, that require seamless integration, privacy preservation and controlled sharing. Service Oriented Architectures and semantic technologies, such as ontologies, may allow the building and deployment of the so-called collaboratories where remote scientists may conduct experimental research in a collaborative way. The goal of HiBB is to bring together scientists in the fields of bioinformatics, biomedicine, medical informatics, high performance computing, as well as scientists working in biology and medicine, to discuss, among the others, the challenges and the requirements posed by novel data analysis pipelines for the management and analysis of omics data, that are more and more produced by high-throughput experimental platforms as well as diagnostic tools. Furthermore, the use of novel parallel architectures and dedicated hardware to implement bioinformatics and biomedical algorithms will be discussed.
TOPICS OF INTEREST The workshop is seeking original research papers presenting applications of parallel and high performance computing to biology and medicine. Topics of interest include, but are not limited to:
- High performance data mining for bioinformatics and biomedicine. - Large scale biological and biomedical databases - Data integration and ontologies in biology and medicine - Parallel bioinformatics algorithms - Parallel visualization and exploration of biomedical data - Parallel visualization and analysis of biomedical images - Computing environments for large scale collaboration - Scientific workflows in bioinformatics and biomedicine - Services for bioinformatics and biomedicine - Cloud Computing for bioinformatics and biomedicine - Peer-To-Peer Computing for bioinformatics and biomedicine - Emerging architectures and programming models for bioinformatics and biomedicine - Parallel processing of bio-signals - Modeling and simulation of complex biological processes
PROGRAM The workshop will take place on November 13-16, 2017 (To Be Announced). It is scheduled as half-day. The program is not available yet.
PAPER SUBMISSION, REGISTRATION AND PUBLICATION
Please submit a full-length paper (up to 8 page IEEE 2-column format) through the BIBM-2017 Workshops submission system: https://wi-lab.com/cyberchair/2017/bibm17/scripts/ws_submit.php You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
IMPORTANT DATES Oct 15, 2018: Due date for full workshop papers submission (EXTENDED) Oct 27, 2018: Notification of paper acceptance to authors Nov 15, 2018: Camera-ready of accepted papers Dec 3-6, 2018: Workshop
JOURNAL SPECIAL ISSUE After of the workshop, we plan to invite the best papers of the workshop for a special issue of an international journal.
WORKSHOP ORGANIZER Mario Cannataro, University Magna Graecia of Catanzaro, Italy
PROGRAM COMMITTEE (TO BE CONFIRMED) 1. Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy 2. Pratul K. Agarwal, Oak Ridge National Laboratory, USA 3. Ignacio Blanquer; Universidad Politecnica de Valencia, Valencia, Spain 4. Giuseppe Di Fatta, University of Reading, UK 5. Werner Dubitzky, University of Ulster, UK 6. Ananth Y. Grama, Purdue University, USA 7. Concettina Guerra, Georgia Institute of Technology, USA 8. Vicente Hernandez, Univ. Politecnica de Valencia, Spain 9. Salvatore Orlando, University of Venezia, Italy 10. Horacio Perez-Sanchez, University of Murcia, Spain 11. Laura Ricci, University of Pisa, Italy 12. Richard Sinnott, University of Melbourne, Melbourne, Australia 13. Paolo Trunfio, University of Calabria, Italy 14. Albert Zomaya, University of Sydney, Australia
computational.science@lists.iccsa.org
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Mario Cannataro