picardasmetrics

picardasmetrics reports high-level alignment quality metrics from SAM or BAM files to assess the accuracy and characteristics of sequence alignments produced by next-generation DNA sequencing technologies.


Key Features:

  • Alignment Quality Assessment: Computes comprehensive metrics that evaluate sequence alignment quality for downstream analyses such as variant calling and expression quantification.
  • Data Format Compatibility: Accepts SAM (Sequence Alignment/Map) and BAM (Binary Alignment/Map) input formats.
  • Integration with Bioinformatics Pipelines: Distributed as part of the Picard suite to be incorporated into command-line sequencing data analysis workflows.

Scientific Applications:

  • Quality Control in Genomic Research: Provides metrics to identify misalignments, mapping biases, and other issues that can affect downstream analyses.
  • Facilitating Reproducible Research: Generates consistent alignment reports that can be recorded to document alignment quality in genomic studies.

Methodology:

Analyzes input SAM or BAM files to extract statistical measures such as counts of aligned reads, distributions of mapping qualities, and other alignment statistics.

Topics

Collections

Details

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

Operations

Data Inputs & Outputs

Read summarisation

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