mpileup

mpileup processes BAM files to filter positions by coverage and detect single nucleotide polymorphisms (SNPs) to support variant calling and population genetics analyses.


Key Features:

  • BAM parsing: Parses BAM-formatted alignments to extract per-base and per-position information.
  • Coverage filtering: Filters reads or genomic positions using user-defined coverage/read-depth thresholds to retain regions with sufficient depth.
  • SNP identification: Analyzes nucleotide variation across aligned reads to identify single nucleotide polymorphisms (SNPs).
  • Filtered output: Produces filtered per-position data suitable for downstream variant-calling and comparative analyses.

Scientific Applications:

  • Variant calling: Provides filtered alignments and SNP information as input for variant-calling workflows.
  • Population genetics: Enables analysis of allele frequencies and polymorphism patterns across samples for population-genetics studies.
  • Metagenomics: Applies coverage filtering and SNP detection principles to characterize genetic variation in metagenomic datasets.

Methodology:

Parses BAM files to extract genomic information, applies user-defined criteria for coverage and SNP detection, and outputs filtered data for downstream analysis.

Topics

Collections

Details

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

Operations

Publications

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.

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.

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