xTea
xTea identifies transposable element (TE) insertions in WES and WGS sequencing data from short-read and long-read platforms (Illumina, PacBio, Nanopore and hybrid combinations) to enable characterization and annotation of TE-mediated genomic variation.
Key Features:
- Comprehensive TE insertion identification: Detects TE insertions across genomic regions including highly repetitive and complex loci such as centromeres and telomeres.
- Support for short-read and long-read data: Processes both short-read and long-read sequencing datasets and hybrid combinations for integrated analysis.
- Enhanced performance on germline and somatic calls: Demonstrates improved discovery of germline and somatic TE insertions compared to short-read–only methods.
- Cataloging and assembly of polymorphic insertions: With long-read data enables creation of comprehensive catalogs, including full assembly and annotation of insertional sequences such as pseudogenes and endogenous retroviruses.
- Exploration of repetitive element reservoirs: Facilitates analysis revealing, for example, groups of full-length LINE-1 (L1) elements within centromeres as potential reservoirs of active TEs.
Scientific Applications:
- Genome structure and variation analysis: Characterizes how TE insertions alter genome architecture and contribute to structural variation.
- Gene regulation and disease studies: Investigates TE-mediated disruption of gene regulation and contributions to disease pathogenesis.
- Germline and somatic mutation discovery: Detects and differentiates germline versus somatic TE insertions in sequencing datasets.
- Polymorphic TE and retroelement cataloging: Generates annotated catalogs of polymorphic TEs and retroelements for population and functional studies.
Methodology:
Uses advanced algorithms to detect TE insertions by processing short-read and long-read sequencing inputs (WES/WGS from Illumina, PacBio, Nanopore or hybrid), integrates data across platforms, and performs assembly and annotation of insertional sequences.
Topics
Details
- License:
- Other
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, Other
- Added:
- 10/5/2021
- Last Updated:
- 10/10/2021
Operations
Publications
Chu C, Borges-Monroy R, Viswanadham VV, Lee S, Li H, Lee EA, Park PJ. Comprehensive identification of transposable element insertions using multiple sequencing technologies. Nature Communications. 2021;12(1). doi:10.1038/s41467-021-24041-8. PMID:34158502. PMCID:PMC8219666.
Documentation
Downloads
- Downloads pagehttps://github.com/parklab/xTea