svdetect_bam_preprocessing_pairs

svdetect_bam_preprocessing_pairs extracts abnormal read pairs from BAM files to support detection and classification of genomic structural variations from paired-end and mate-pair next-generation sequencing data.


Key Features:

  • BAM preprocessing: Extracts anomalously mapped read pairs from BAM files produced by short-read aligners.
  • Detection of structural variations: Leverages anomalous paired mappings to pinpoint large insertions-deletions, inversions, duplications, and balanced and unbalanced inter-chromosomal translocations.
  • Analytical methods: Applies sliding-window and clustering strategies to analyze distributions of abnormal read pairs.
  • Sequencing platform support: Processes data from platforms such as Illumina GA and ABI SOLiD.
  • Output formats: Produces predicted structural variants in multiple file formats suitable for graphical visualization.

Scientific Applications:

  • Genomic research: Enables identification and classification of structural variations to support studies of genetic disorders and genome evolution.
  • High-throughput data analysis: Addresses computational processing of large paired-end and mate-pair next-generation sequencing datasets for downstream structural variant analysis.

Methodology:

Extracts anomalously mapped read pairs from BAM files generated by short-read aligners, applies sliding-window and clustering strategies to identify clusters of abnormal pairs, and outputs predicted structural variants in multiple 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

Sequence analysis

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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