gdtools_check
gdtools_check identifies and characterizes structural variations in microbial genomes using Genome Diff inputs, breseq-derived split-read alignments from DNA resequencing data, and statistical evaluation of read coverage evenness.
Key Features:
- Structural Variation Detection: Identifies deletions, insertions, and transposon activities by using split-read alignments to pinpoint new sequence junctions, including junctions involving repeat sequences.
- Statistical Modeling: Employs a statistical model that evaluates read coverage evenness to distinguish true structural variations from false positives and supports reliable predictions at modest genome coverage (>40-fold).
- Genome Diff-based Mutation Application: Accepts a single Genome Diff and multiple reference files and applies mutations from the Genome Diff to reference sequences.
- Reference Genome Integration: Requires a closely related reference genome to describe predicted mutations and their effects on genes.
- Output Generation: Produces comprehensive output files containing all references in the requested format with detailed mutation descriptions and gene-effect annotations.
Scientific Applications:
- Microbial Epidemiology: Detection of transposon insertions and large-scale chromosomal changes to study genetic bases of outbreaks and resistance mechanisms.
- Experimental Evolution: Tracking spontaneous structural mutations over time to analyze evolutionary dynamics in controlled experiments.
- Synthetic Biology: Identification of unintended genomic alterations to support design and maintenance of engineered microbial genomes.
- Genetics Research: Uncovering structural genetic variations that contribute to phenotypic changes in microbes.
Methodology:
Uses breseq-derived split-read alignments from DNA resequencing to detect new sequence junctions (including repeats), employs a statistical model to evaluate read coverage evenness, takes a single Genome Diff and multiple reference files as input, applies mutations from the Genome Diff to the reference sequences, and outputs comprehensive files listing all references with detailed mutation and gene-effect annotations.
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 feature comparison
Publications
Barrick JE, Colburn G, Deatherage DE, Traverse CC, Strand MD, Borges JJ, Knoester DB, Reba A, Meyer AG. Identifying structural variation in haploid microbial genomes from short-read resequencing data using breseq. BMC Genomics. 2014;15(1):1039. doi:10.1186/1471-2164-15-1039. PMID:25432719. PMCID:PMC4300727.
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.