breseq_bam2cov

breseq_bam2cov generates coverage plots or tables for specified genomic regions from next-generation DNA sequencing (NGS) data to support analysis of whole-genome and whole-population datasets from haploid microbes using a high-quality reference genome within the Breseq computational pipeline.


Key Features:

  • Coverage quantification: Produces per-region coverage plots or tables from NGS data for specified genomic intervals.
  • Genetic analysis: Enables identification and annotation of genetic differences within microbial populations.
  • Mutation detection: Detects unintended mutations arising during strain construction or genome editing.
  • Integration with Breseq: Functions as a component of the Breseq computational pipeline and supports analysis of mutants isolated through genetic screens.

Scientific Applications:

  • Eco-evolutionary studies: Reconstructs population dynamics and identifies adaptive genetic changes in laboratory evolution experiments.
  • Genome editing validation: Identifies unintended mutations to validate outcomes of strain construction and genome editing experiments.

Methodology:

Generates coverage plots or tables from NGS data as part of the Breseq computational pipeline for analysis of whole-genome and whole-population datasets from haploid microbes using a high-quality reference genome.

Topics

Collections

Details

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

Operations

Data Inputs & Outputs

Sequence visualisation

Publications

Deatherage DE, Barrick JE. Identification of Mutations in Laboratory-Evolved Microbes from Next-Generation Sequencing Data Using breseq. Methods in Molecular Biology. 2014. doi:10.1007/978-1-4939-0554-6_12. PMID:24838886. PMCID:PMC4239701.

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