VODKA2: A fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets

Authors

Emna Achouri, Washington University School of Medicine in St. Louis
Sébastien A Felt, Washington University School of Medicine in St. Louis
Matthew Hackbart, Washington University School of Medicine in St. Louis
Nicole S Rivera-Espinal, Washington University School of Medicine in St. Louis
Carolina B López, Washington University School of Medicine in St. Louis

Journal

RNA

Publication Date

12-18-2023

Volume

30

Issue

1

First Page

16

Last Page

25

Document Type

Open Access Publication

DOI

10.1261/rna.079747.123

Rights and Permissions

Achouri E, Felt SA, Hackbart M, Rivera-Espinal NS, López CB. VODKA2: a fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets. RNA. 2023 Dec 18;30(1):16-25. doi: 10.1261/rna.079747.123. https://rnajournal.cshlp.org/content/30/1/16 © 2024 Achouri et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society This article, published in RNA, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

Recommended Citation

Achouri, Emna; Felt, Sébastien A; Hackbart, Matthew; Rivera-Espinal, Nicole S; and López, Carolina B, "VODKA2: A fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets." RNA. 30, 1. 16 - 25. (2023).
https://digitalcommons.wustl.edu/oa_4/3548

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.