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.