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
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.