IVA: accurate de novo assembly of RNA virus genomes
Author(s) -
Martin Hunt,
Astrid Gall,
Swee Hoe Ong,
Jacqui Brener,
Bridget Ferns,
Philip Goulder,
Eleni Nastouli,
Jacqueline A. Keane,
Paul Kellam,
Thomas D. Otto
Publication year - 2015
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/btv120
Subject(s) - genome , sequence assembly , computational biology , rna , virology , biology , virus , computer science , genetics , gene , gene expression , transcriptome
An accurate genome assembly from short read sequencing data is critical for downstream analysis, for example allowing investigation of variants within a sequenced population. However, assembling sequencing data from virus samples, especially RNA viruses, into a genome sequence is challenging due to the combination of viral population diversity and extremely uneven read depth caused by amplification bias in the inevitable reverse transcription and polymerase chain reaction amplification process of current methods.
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