cshl_fastx_quality_statistics

cshl_fastx_quality_statistics generates comprehensive quality statistics reports for Solexa/FASTQ sequencing libraries to assess and summarize sequencing read quality for next-generation DNA sequencing data.


Key Features:

  • Quality assessment: Evaluates and reports quality metrics for Solexa/FASTQ files to characterize sequencing data quality.
  • FASTQ parsing: Parses FASTQ files to extract sequencing and associated quality information.
  • Metric computation: Computes various quality statistics from extracted sequencing and quality data.
  • Reporting: Compiles computed metrics into a detailed report that summarizes sequencing data integrity.
  • Scalability: Designed to handle large datasets typical of next-generation sequencing workflows.

Scientific Applications:

  • Biomedical research: Quality control of next-generation sequencing data used in biomedical studies to ensure reliable downstream analyses.
  • Large-scale sequencing projects: Generation of summary quality metrics for high-throughput and population-scale sequencing datasets.

Methodology:

Parses FASTQ files to extract sequencing and quality information, computes various quality metrics from those data, and compiles the results into a detailed quality report.

Topics

Collections

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Perl
Added:
12/19/2016
Last Updated:
11/24/2024

Operations

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

Related Tools

fastx-toolkit
Relation: includedIn