Going the Distance: Optimizing RNA-Seq Strategies for Transcriptomic Analysis of Complex Viral Genomes
Author(s) -
Daniel P. Depledge,
Ian Mohr,
Angus C. Wilson
Publication year - 2018
Publication title -
journal of virology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.617
H-Index - 292
eISSN - 1070-6321
pISSN - 0022-538X
DOI - 10.1128/jvi.01342-18
Subject(s) - biology , transcriptome , rna seq , computational biology , rna , dna sequencing , genome , deep sequencing , genetics , de novo transcriptome assembly , dna , gene , gene expression
Transcriptome profiling has become routine in studies of many biological processes. However, the favored approaches such as short-read Illumina RNA sequencing are giving way to long-read sequencing platforms better suited to interrogating the complex transcriptomes typical of many RNA and DNA viruses. Here, we provide a guide-tailored to molecular virologists-to the ins and outs of viral transcriptome sequencing and discuss the strengths and weaknesses of the major RNA sequencing technologies as tools to analyze the abundance and diversity of the viral transcripts made during infection.
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