Nucleotide composition string selection in HIV-1 subtyping using whole genomes
Author(s) -
XiaoMeng Wu,
Zhipeng Cai,
XiuFeng Wan,
Hoàng Công Tín,
Randy Goebel,
Guohui Lin
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm248
Subject(s) - subtyping , phylogenetic tree , genome , string (physics) , computational biology , biology , selection (genetic algorithm) , executable , composition (language) , computer science , genetics , programming language , gene , artificial intelligence , mathematics , linguistics , philosophy , mathematical physics
The availability of the whole genomic sequences of HIV-1 viruses provides an excellent resource for studying the HIV-1 phylogenies using all the genetic materials. However, such huge volumes of data create computational challenges in both memory consumption and CPU usage.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom