Literature DB >> 20090171

Lecture notes: 2010 and beyond, the decade of high-performance computing for the next-generation sequence analysis.

Mary Qu Yang1, Jack Y Yang.   

Abstract

Effective analysis of the next-generation sequence relies on the intelligent algorithms for handling the meta-genome, epigenetic and disease genome, as well as immune-genome, viral profiling, transcriptome profiling, and de novo genome sequencing data, therefore, next-generation sequence analysis is a very important but challenging task in bioinformatics due to extremely large-scale 'noisy' datasets. We focus mainly on the development of high-performance genetic algorithms based on multi-core technology as an example and open to fast-moving competing platforms to be emerged.

Mesh:

Year:  2009        PMID: 20090171     DOI: 10.1504/IJCBDD.2009.028824

Source DB:  PubMed          Journal:  Int J Comput Biol Drug Des        ISSN: 1756-0756


  1 in total

1.  3D protein structure prediction with genetic tabu search algorithm.

Authors:  Xiaolong Zhang; Ting Wang; Huiping Luo; Jack Y Yang; Youping Deng; Jinshan Tang; Mary Qu Yang
Journal:  BMC Syst Biol       Date:  2010-05-28
  1 in total

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