BleTIES
BleTIES predicts, assembles, and analyzes internally eliminated sequences (IESs) in ciliate genomes using Pacific Biosciences and Oxford Nanopore long-read data to characterize DNA elimination and improve ciliate genome assemblies.
Key Features:
- Prediction: Predicts IES locations from mapped long reads.
- Assembly: Assembles IES sequences to enable reconstruction of longer IESs.
- Analysis of excision patterns: Analyzes IES excision patterns and detects correlations between neighboring element eliminations.
- Long-read support: Supports Pacific Biosciences (PacBio) and Oxford Nanopore Technologies long-read sequencing data.
- Repetitive and low-complexity regions: Enables reconstruction and analysis of IESs that contain repetitive or low-complexity sequences.
- Implementation: Implemented in Python 3.
- Tool suite: Provides a suite of tools for detecting, assembling, and analyzing IESs from mapped long reads.
- Benchmarking: Benchmarked on published sequence data.
Scientific Applications:
- DNA elimination studies: Characterizing mechanisms of DNA elimination and IES excision in ciliates.
- Genome assembly improvement: Improving the accuracy and completeness of ciliate macronuclear genome assemblies by resolving IESs.
- Genomic architecture: Investigating correlations between neighboring IES eliminations to study ciliate genomic architecture.
Methodology:
Uses mapped Pacific Biosciences and Oxford Nanopore long reads for prediction, assembly, and analysis of IESs; implemented in Python 3 and validated using published sequence data.
Topics
Details
- License:
- MIT
- Programming Languages:
- Python
- Added:
- 6/14/2021
- Last Updated:
- 8/18/2021
Operations
Publications
Seah BKB, Swart EC. BleTIES: Annotation of natural genome editing in ciliates using long read sequencing. Unknown Journal. 2021. doi:10.1101/2021.05.18.444610.