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transXpress: a Snakemake pipeline for streamlined de novo transcriptome assembly and annotation.
Fallon, Timothy R; Calounová, Tereza; Mokrejs, Martin; Weng, Jing-Ke; Pluskal, Tomás.
Afiliación
  • Fallon TR; Scripps Institution of Oceanography, UC San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA.
  • Calounová T; Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo námestí 2, 16000, Prague 6, Czech Republic.
  • Mokrejs M; Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo námestí 2, 16000, Prague 6, Czech Republic.
  • Weng JK; Whitehead Institute for Biomedical Research, 455 Main Street, Cambridge, MA, 02142, USA. wengj@wi.mit.edu.
  • Pluskal T; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. wengj@wi.mit.edu.
BMC Bioinformatics ; 24(1): 133, 2023 Apr 04.
Article en En | MEDLINE | ID: mdl-37016291
BACKGROUND: RNA-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. RESULTS: Here 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. CONCLUSIONS: transXpress 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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Transcriptoma Tipo de estudio: Guideline Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Transcriptoma Tipo de estudio: Guideline Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos