clean_ngs

clean_ngs performs preprocessing of next-generation sequencing (NGS) reads by removing adapter sequences and trimming low-quality bases to improve data quality for downstream genomic analyses.


Key Features:

  • Adapter Trimming: Uses a user-defined adapters definition file (ADAPTER.txt) to identify and remove adapter sequences from input reads.
  • Quality Filtering: Trims nucleotides from both the 5' and 3' ends of reads based on quality score thresholds to remove low-quality bases.
  • Output Management: Produces two output files separating cleansed reads from rejected reads that did not meet the specified criteria.

Scientific Applications:

  • Metagenomics: Preprocesses reads to remove adapters and low-quality bases prior to taxonomic profiling and functional analysis.
  • Phylogenetics: Improves sequence quality for accurate phylogenetic inference by removing sequencing artifacts and low-quality regions.
  • Downstream alignment and assembly: Generates higher-quality input for read alignment and genome or transcriptome assembly workflows.

Methodology:

References an adapters definition file (ADAPTER.txt) to identify and excise adapter sequences, applies quality-score thresholds to trim low-quality nucleotides at both 5' and 3' ends of reads, and segregates outputs into cleansed and rejected read files.

Topics

Collections

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
12/19/2016
Last Updated:
6/16/2020

Operations

Data 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