trimsequences

trimsequences trims 5' and 3' adaptor sequences from DNA sequencing reads to improve accuracy of downstream next-generation sequencing (NGS) analyses.


Key Features:

  • Adaptor Removal: Targets and excises 5' and/or 3' adaptor sequences from DNA reads to prevent adaptor-derived artifacts in downstream analyses.
  • Integration with Galaxy Project: Integrated into the Galaxy framework for execution within reproducible computational workflows.
  • Reproducibility and Transparency: Records computational provenance of trimming operations to enable inspection and reuse of analyses.
  • NGS Data Format Compatibility: Designed to be compatible with various NGS data formats.

Scientific Applications:

  • Genomic Research: Produces adaptor-free reads to facilitate more accurate genome assembly and annotation.
  • Transcriptomics: Improves RNA-seq data quality for gene expression analyses by removing adaptor contamination.
  • Epigenetics: Enhances reliability of methylation and other epigenetic analyses by reducing misalignment caused by adaptors.

Methodology:

Uses algorithms that identify and remove adaptor sequences from sequencing reads; implemented within the Galaxy platform and compatible with various NGS data formats.

Topics

Collections

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
12/19/2016
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Sequence trimming

Inputs

Outputs

Publications

Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.

Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.

Documentation

Links