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.

Links