Telescoper
Telescoper assembles highly repetitive genomic regions, such as telomeres, from short-read sequencing data by integrating short-insert and long-insert libraries and extending read-overlap graphs to resolve complex repeat structures.
Key Features:
- Integration of short- and long-insert libraries: Telescoper utilizes both short-insert and long-insert sequencing libraries to enhance resolution of complex repeat patterns.
- Iterative extension through read-overlap graphs: The algorithm iteratively extends long paths across read-overlap graphs constructed from sequencing reads to build longer contiguous sequences through repeats.
- Statistical framework for evaluation: Assembled sequences are evaluated within a statistical framework to assess and validate assembly accuracy.
Scientific Applications:
- Telomere assembly: Telescoper targets telomeric regions with complex repeat structures, supporting studies of telomere evolution, function, and links to aging.
- Genome assembly of higher organisms: By resolving complex repeats, Telescoper contributes to de novo genome assembly of higher organisms where such repeats are prevalent.
Methodology:
Telescoper constructs read-overlap graphs from sequencing data from both short- and long-insert libraries, iteratively extends long paths through these graphs, and evaluates assembled sequences within a statistical framework.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C++
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Bresler M, Sheehan S, Chan AH, Song YS. Telescoper: <i>de novo</i> assembly of highly repetitive regions. Bioinformatics. 2012;28(18):i311-i317. doi:10.1093/bioinformatics/bts399. PMID:22962446. PMCID:PMC3436826.
Documentation
Links
Software catalogue
http://www.mybiosoftware.com/telescoper-de-novo-assembly-algorithm.html