Evidence map›Paper›PMID 37016291›Full record

ArticleBMC bioinformatics2023

transXpress: a Snakemake pipeline for streamlined de novo transcriptome assembly and annotation.

Timothy R Fallon, Tereza Čalounová, Martin Mokrejš, Jing-Ke Weng, Tomáš Pluskal

Abstract read
In one paragraph

Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. The emergence and loss of cyclic peptides inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Semblans: automated assembly and processing of RNA-seq data.Bioinformatics (Oxford, England) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Emerging functions within the enzyme families of plant alkaloid biosynthesis.Phytochemistry reviews : proceedings of the Phytochemical Society of Europe · 2023
    Article
  13. Article
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

5 authors.

Timothy R FallonScripps Institution of Oceanography, UC San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA.
Tereza ČalounováInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo náměstí 2, 16000, Prague 6, Czech Republic.
Martin MokrejšInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo náměstí 2, 16000, Prague 6, Czech Republic.
Jing-Ke WengWhitehead Institute for Biomedical Research, 455 Main Street, Cambridge, MA, 02142, USA. wengj@wi.mit.edu.
Tomáš PluskalInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo náměstí 2, 16000, Prague 6, Czech Republic. tomas.pluskal@uochb.cas.cz.ORCID http://orcid.org/0000-0002-6940-3006

Funding

Elucidating the Biosynthesis of a Model Ladder-Frame Polyether ToxinF32ES032276 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FALLON, TIMOTHY R · 2020 to 2023
$220k
Chan Zuckerberg Foundation 2020-221485Gordon and Betty Moore Foundation 9331Grantová Agentura České Republiky 21-11563MH2020 Marie Skłodowska-Curie Actions 891397National Science Foundation MCB-1818132NIEHS NIH HHS F32 ES032276NIEHS NIH HHS F32-ES032276
6 · The paper itself

Abstract

backgroundRNA-seq followed by de novo transcriptome assembly has been a transformative technique in biological research of non-model organisms, but the computational processing of RNA-seq data entails many different software tools. The complexity of these de novo transcriptomics workflows therefore presents a major barrier for researchers to adopt best-practice methods and up-to-date versions of software.

resultsHere we present a streamlined and universal de novo transcriptome assembly and annotation pipeline, transXpress, implemented in Snakemake. transXpress supports two popular assembly programs, Trinity and rnaSPAdes, and allows parallel execution on heterogeneous cluster computing hardware.

conclusionstransXpress simplifies the use of best-practice methods and up-to-date software for de novo transcriptome assembly, and produces standardized output files that can be mined using SequenceServer to facilitate rapid discovery of new genes and proteins in non-model organisms.

Indexed as

SoftwareTranscriptomeGene Expression ProfilingMolecular Sequence AnnotationRNA-SeqSequence Analysis, RNADe novo transcriptome assemblyDifferential expression analysisHigh-performance computingNon-model organismsReproducible softwareRNA-seqTranscriptome annotation

Identifiers

PMID37016291
PMCPMC10074830

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LicenceCC BY
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Registered trials

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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.