samtools_idxstats

samtools_idxstats reports per-reference alignment statistics from indexed BAM files, summarizing mapped and unmapped read counts to evaluate sequencing coverage and data quality.


Key Features:

  • Indexing support: Operates on indexed BAM files using SAMtools indexes to enable efficient random access to alignment data.
  • Per-reference alignment counts: Outputs counts of mapped and unmapped reads for each reference sequence present in the BAM file.
  • Format compatibility: Works with SAM/BAM formats and leverages SAM-format conventions for storing read alignments, including support for large reads up to 128 Mbp.
  • Data handling efficiency: Produces compact summary output that facilitates rapid retrieval and aggregation of alignment statistics across large datasets.

Scientific Applications:

  • Quality control: Verifies the number of reads aligned to each reference sequence to detect library- or sequencing-related issues.
  • Coverage assessment: Provides per-reference counts useful for assessing coverage depth across reference sequences.
  • High-throughput data management: Summarizes alignment metrics for large-scale sequencing projects (e.g., 1000 Genomes Project) to support dataset filtering and tracking.

Methodology:

Parses indexed BAM files to extract per-reference alignment statistics, leveraging SAMtools indexing to allow rapid retrieval and analysis of specific genomic regions or entire datasets.

Topics

Collections

Details

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

Operations

Publications

Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25(16):2078-2079. doi:10.1093/bioinformatics/btp352. PMID:19505943. PMCID:PMC2723002.

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