sideRETRO
sideRETRO detects and genotypes somatic and dimorphic insertions of processed pseudogenes (retrocopies/retroCNVs) from whole-genome (WGS) and whole-exome (WES) sequencing data and identifies their genomic insertion sites to support zygosity and contextual analyses.
Key Features:
- Detection of RetroCNVs: Identifies novel retrocopies/retroCNVs in WGS and WES datasets, including somatic insertions and dimorphic events between individuals.
- Genotyping Accuracy: Determines zygosity (homozygous or heterozygous) of detected retroCNVs with a reported genotyping accuracy of 93.2%.
- Insertion Site Identification: Pinpoints exact genomic insertion sites of processed pseudogene retrotransposition events.
- Classification of Events: Classifies detected retroCNVs as somatic or dimorphic to distinguish population variation from somatic occurrences.
- Efficient Algorithm: Employs an algorithm optimized for rapid identification and classification of retroCNVs in large genomic datasets.
Scientific Applications:
- Genomic Research: Enables identification and characterization of retroCNVs to investigate genetic diversity and evolutionary processes.
- Disease Studies: Detects somatic retroCNVs relevant to cancer research and studies of somatic mutation contributions to disease.
- Genetic Variation Analysis: Facilitates analysis of dimorphic retroCNVs to assess population-level genetic variation.
Methodology:
Implemented in C, sideRETRO uses HTSlib for SAM/BAM/CRAM file handling and SQLite3 for data management and analysis.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- C
- Added:
- 1/18/2021
- Last Updated:
- 2/18/2021
Operations
Publications
Miller TLA, Orpinelli F, Buzzo JLL, Galante PAF. sideRETRO: a pipeline for identifying somatic and dimorphic insertions of processed pseudogenes or retrocopies. Unknown Journal. 2020. doi:10.1101/2020.03.09.983858.
Documentation
User manual
https://sideretro.readthedocs.io/