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Oxford University Press (OUP), Bioinformatics, 14(31), p. 2374-2376

DOI: 10.1093/bioinformatics/btv120

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IVA: accuratede novoassembly of RNA virus genomes

Journal article published in 2015 by Martin Hunt ORCID, Astrid Gall ORCID, Swee Hoe Ong, Jacqui Brener, Bridget Ferns, Philip Goulder, Eleni Nastouli, Jacqueline A. Keane, Paul Kellam, Thomas D. Otto
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: 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.