Virseqimprover: an integrated pipeline for viral contig error correction, extension, and annotation

Despite the recent surge of viral metagenomic studies, it remains a significant challenge to recover complete virus genomes from metagenomic data. The majority of viral contigs generated from de novo assembly programs are highly fragmented, presenting significant challenges to downstream analysis and inference. To address this issue, we have developed Virseqimprover, a computational pipeline that can extend assembled contigs to complete or nearly complete genomes while maintaining extension quality. Virseqimprover first examines whether there is any chimeric sequence based on read coverage, breaks the sequence into segments if there is, then extends the longest segment with uniform depth of coverage, and repeats these procedures until the sequence cannot be extended. Finally, Virseqimprover annotates the gene content of the resulting sequence. Results show that Virseqimprover has good performances on correcting and extending viral contigs to their full lengths, hence can be a useful tool to improve the completeness and minimize the assembly errors of viral contigs. Both a web server and a conda package for Virseqimprover are provided to the research community free of charge.

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Publication Details

Journal
PeerJ
Published
2025-01-10
DOI
https://doi.org/10.7717/peerj.18515
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

Virseqimprover: an integrated pipeline for viral contig error correction, extension, and annotation

Roderick V. Jensen, Haoqiu Song, Liqing Zhang, Connor L. Brown et al.
PeerJ
Bacteriophages and microbial interactions
article

Virseqimprover: an integrated pipeline for viral contig error correction, extension, and annotation

Roderick V. Jensen, Haoqiu Song, Liqing Zhang, Connor L. Brown, Saima Sultana Tithi, Frank O. Aylward
article en

Abstract

Despite the recent surge of viral metagenomic studies, it remains a significant challenge to recover complete virus genomes from metagenomic data. The majority of viral contigs generated from de novo assembly programs are highly fragmented, presenting significant challenges to downstream analysis and inference. To address this issue, we have developed Virseqimprover, a computational pipeline that can extend assembled contigs to complete or nearly complete genomes while maintaining extension quality. Virseqimprover first examines whether there is any chimeric sequence based on read coverage, breaks the sequence into segments if there is, then extends the longest segment with uniform depth of coverage, and repeats these procedures until the sequence cannot be extended. Finally, Virseqimprover annotates the gene content of the resulting sequence. Results show that Virseqimprover has good performances on correcting and extending viral contigs to their full lengths, hence can be a useful tool to improve the completeness and minimize the assembly errors of viral contigs. Both a web server and a conda package for Virseqimprover are provided to the research community free of charge.

PeerJVol. 13
St. Jude Children's Research Hospital (US), Virginia Tech (US)
National Science Foundation, Centers for Disease Control and Prevention
Openalex Percentile: Top 100%
Bacteriophages and microbial interactions
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Virseqimprover: an integrated pipeline for viral contig error correction, extension, and annotation — Roderick V. Jensen, Haoqiu Song, et al. · PeerJ (2025) | TGRS Research Map | TGRS