ECMLS 2012 - 3rd Int'l Emerging Computational Methods for the Life Sciences Workshop
Date2012-06-18
Deadline2012-02-25
VenueDelft, Netherlands, The
Keywords
Websitehttps://www.hpdc.org/2012
Topics/Call fo Papers
The purpose of this the workshop is to provide the opportunity for researchers, scientists, engineers, and students to discuss and share the latest research in parallel and distributed high performance systems applied to Life Science problems. It aims to offer an interactive environment for investigators working on novel “computational thinking” for (Systems) Biology, Bioinformatics, Biocomplexity and Cheminformatics, so that future activities and collaborations will be initiated, as well as fostering discussions about the utilization of HPDC systems in their respective research initiatives.
Journal Special Issue
Selected papers will be published in a special issue of Journal Concurrency and Computation: Practice and Experience (CCPE).
Student Program
We propose to build on student involvement with the first two workshops with a special student poster session followed by a panel discussing research issues in data-enabled life sciences.
Topics of interests include (but not limited to)
Applications of GPU and Multicore architectures to the life sciences
Applications of Cloud (including MapReduce), Many Task, Grid and Parallel (High Performance) computing to the life sciences
Performance, Algorithms, Architectures, Tools (such as workflow) and environments for the life sciences
Data Management, Data Mining, Data Integration and Databases for the life sciences
Data Visualization (including dimension reduction) for the life sciences
Data Privacy and Security issues in processing and access to Life Science data
Biocomplexity, Complex Systems, Computational Systems Biology and Computational Biomodeling
Biostatistics, Biomedical Intelligence, Biomedical Databases & Information Systems
Computational Life Science Applications such as Alignment, Assembly, Biomedical Imagery, Drug Discovery, Computational Genomics and Proteomics
Text Mining, Information Extraction, and Web-mining of life science data
Social Networking and Virtual Organization technologies for life sciences
Journal Special Issue
Selected papers will be published in a special issue of Journal Concurrency and Computation: Practice and Experience (CCPE).
Student Program
We propose to build on student involvement with the first two workshops with a special student poster session followed by a panel discussing research issues in data-enabled life sciences.
Topics of interests include (but not limited to)
Applications of GPU and Multicore architectures to the life sciences
Applications of Cloud (including MapReduce), Many Task, Grid and Parallel (High Performance) computing to the life sciences
Performance, Algorithms, Architectures, Tools (such as workflow) and environments for the life sciences
Data Management, Data Mining, Data Integration and Databases for the life sciences
Data Visualization (including dimension reduction) for the life sciences
Data Privacy and Security issues in processing and access to Life Science data
Biocomplexity, Complex Systems, Computational Systems Biology and Computational Biomodeling
Biostatistics, Biomedical Intelligence, Biomedical Databases & Information Systems
Computational Life Science Applications such as Alignment, Assembly, Biomedical Imagery, Drug Discovery, Computational Genomics and Proteomics
Text Mining, Information Extraction, and Web-mining of life science data
Social Networking and Virtual Organization technologies for life sciences
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Last modified: 2011-12-13 17:50:41