svdetect_compare_step

svdetect_compare_step compares structural variants between two genomic samples by analyzing anomalously mapped read pairs from paired-end and mate-pair next-generation sequencing data to localize and classify genomic rearrangements.


Key Features:

  • SVDetect foundation: Builds on SVDetect capabilities for detecting structural variations from paired-end and mate-pair NGS datasets.
  • Input data types: Operates on paired-end and mate-pair reads from platforms including Illumina GA and ABI SOLiD.
  • Anomalous read-pair analysis: Leverages anomalously mapped read pairs identified by short-read aligners to localize genomic rearrangements.
  • SV classification: Classifies detected events into large insertions-deletions (indels), inversions, duplications, and balanced and unbalanced inter-chromosomal translocations.
  • Output formats: Emits predicted structural variants in various file formats suitable for graphical visualization and downstream analysis.
  • Workflow integration: Integrates with the Galaxy framework for incorporation into reproducible analysis workflows.

Scientific Applications:

  • Comparative genomics: Comparison of structural variant profiles between samples to study genetic diversity and genomic rearrangements.
  • Disease-related SV analysis: Identification and classification of SVs relevant to studies of disease mechanisms and genomic pathology.
  • Genomic research workflows: Inclusion in data-intensive and reproducible workflows for downstream visualization and interpretation of structural variants.

Methodology:

Analyzes anomalously mapped read pairs from paired-end and mate-pair NGS (Illumina GA, ABI SOLiD) using sliding-window and clustering strategies to localize and classify structural variants and outputs predicted SVs in various file formats.

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

Structure comparison

Publications

Zeitouni B, Boeva V, Janoueix-Lerosey I, Loeillet S, Legoix-né P, Nicolas A, Delattre O, Barillot E. SVDetect: a tool to identify genomic structural variations from paired-end and mate-pair sequencing data. Bioinformatics. 2010;26(15):1895-1896. doi:10.1093/bioinformatics/btq293. PMID:20639544. PMCID:PMC2905550.

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

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