Evidence map›Paper›PMID 38898985›Full record

ArticleiMeta2024

SeqKit2: A Swiss army knife for sequence and alignment processing.

Wei Shen, Botond Sipos, Liuyang Zhao

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 322 papers.

0numbers the graph read from it
0cells of the map it votes in
322citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

322 citing papers in PubMed.

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  8. Rapid detection of cultivated truffle fungi (Applied and environmental microbiology · 2026
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  13. Complete genome sequence ofMicrobiology resource announcements · 2026
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  19. Distinct YY dinucleotide periodicity in adeno-associated virus DNA.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  20. Article

262 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Wei ShenDepartment of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis The Second Affiliated Hospital of Chongqing Medical University Chongqing China.ORCID 0000-0002-8099-8258
Botond SiposEuropean Molecular Biology Laboratory European Bioinformatics Institute Hinxton Cambridgeshire UK.ORCID https://orcid.org/0000-0002-9046-3302
Liuyang ZhaoDepartment of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis The Second Affiliated Hospital of Chongqing Medical University Chongqing China.ORCID 0000-0001-7559-5131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of ubiquitous high-throughput sequencing studies, there is a growing need for analysis tools that are not just performant but also comprehensive and user-friendly enough to cater to both novice and advanced users. This article introduces SeqKit2, the next iteration of the widely used sequence analysis tool SeqKit, featuring expanded functionality, performance optimizations, and support for additional compression methods. Retaining a pragmatic subcommand architecture, SeqKit2 represents substantial enhancement through the inclusion of 19 additional subcommands, expanding its overall repertoire to a total of 38 in eight categories. The new subcommands add functionality such as amplicon processing and robust, error-tolerant parsing of sequence records. In addition, three subcommands designed for real-time analysis are added for periodic monitoring of properties of FASTQ and Binary Alignment/Map alignment records and real-time streaming from multiple sequence files. The performance of SeqKit2 is benchmarked against the old version of SeqKit, Bioawk, Seqtk, and SeqFu tools. SeqKit2 consistently outperforms its predecessor, albeit with marginally higher memory usage, while maintaining competitive runtimes against other tools. With its broad functionality, proven usability, and ongoing development driven by user feedback, we hope that bioinformaticians will find SeqKit2 useful as a "Swiss army knife" of sequence and alignment processing-equally adept at facilitating ad hoc analyses and seamlessly integrating into larger pipelines.

Indexed as

performance optimizationreal‐time analysissequence processingusabilityuser‐friendly

Identifiers

PMID38898985
PMCPMC11183193

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.