HiCOMB 2015 - 14th IEEE International Workshop on High Performance Computational Biology
Date2015-05-25 - 2015-05-28
Deadline2015-01-05
VenueHyderabad, India
Keywords
Websitehttps://www.hicomb.org
Topics/Call fo Papers
High-performance computing became an integral part of research and development in bioinformatics and computational biology. The large size of biological data sets, inherent complexity of biological problems and the ability to deal with error-prone data, all result in large run-time and memory requirements. The goal of this workshop is to provide a forum for discussion of latest research in developing high-performance computing solutions to data-intensive and compute-intensive problems arising from molecular biology and related life sciences areas. We are especially interested in parallel and distributed algorithms, memory-efficient algorithms, large scale data mining techniques, including approaches for big data and cloud computing, algorithms on multicores and GPUs, and design of high-performance software for biological applications.
The workshop will feature contributed papers as well as invited talks from reputed researchers in the field.
Topics of interest include but are not limited to:
Bioinformatic databases
Computational genomics and metagenomics
Computational proteomics and metaproteomics
DNA assembly, clustering, and mapping
Gene expression analysis with RNASeq and microarrays
Gene identification and annotation
Parallel algorithms for biological sequence analysis
Parallel architectures for biological applications
Molecular evolution and phylogenetic reconstruction algorithms
Protein structure prediction and modeling
Next Generation sequence data analysis
Parallel algorithms in chemical genetics and chemical informatics
High performance algorithms for systems biology
Cloud-enabled solutions for computational biology
Big Data Solutions for Systems Biology
Energy-aware High Performance Biological Applications
The workshop will feature contributed papers as well as invited talks from reputed researchers in the field.
Topics of interest include but are not limited to:
Bioinformatic databases
Computational genomics and metagenomics
Computational proteomics and metaproteomics
DNA assembly, clustering, and mapping
Gene expression analysis with RNASeq and microarrays
Gene identification and annotation
Parallel algorithms for biological sequence analysis
Parallel architectures for biological applications
Molecular evolution and phylogenetic reconstruction algorithms
Protein structure prediction and modeling
Next Generation sequence data analysis
Parallel algorithms in chemical genetics and chemical informatics
High performance algorithms for systems biology
Cloud-enabled solutions for computational biology
Big Data Solutions for Systems Biology
Energy-aware High Performance Biological Applications
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Last modified: 2014-11-12 23:32:43