icHET

icHET visualizes genome-wide cytoplasmic heteroplasmy from short-read sequencing data to support comparative analysis across multiple samples using organellar (mitochondrial, plastid) and nuclear reference genomes.


Key Features:

  • Heteroplasmy visualization: Generates visual representations of heteroplasmic sites across genomes derived from short-read sequencing data.
  • Genome-wide analysis: Processes heteroplasmy signals across entire organellar and nuclear genomes.
  • Cross-sample comparison: Supports analysis and comparison of heteroplasmic variation across multiple samples.
  • Organellar and nuclear integration: Integrates short reads with organellar (mitochondrial, plastid) and nuclear reference genomes for joint analysis.
  • Taxonomic flexibility: Applicable to diverse organisms provided organellar and nuclear reference genomes are available.

Scientific Applications:

  • Organellar heteroplasmy studies: Analysis of heteroplasmy in mitochondria and plastids across samples.
  • Comparative population genetics: Comparative assessment of heteroplasmic variation within and between populations or species.
  • Evolutionary biology: Investigation of heteroplasmy patterns relevant to evolutionary processes.
  • Disease-associated heteroplasmy research: Examination of heteroplasmic variants that may be implicated in disease contexts.

Methodology:

Processes short-read sequencing data from multiple samples and integrates reads with organellar and nuclear reference genomes to identify and visualize heteroplasmic sites genome-wide.

Topics

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Phan V, Pham D, Melton C, Ramsey AJ, Daigle BJ, Mandel JR. icHET: interactive visualization of cytoplasmic heteroplasmy. Bioinformatics. 2019;35(21):4411-4412. doi:10.1093/bioinformatics/btz300. PMID:31038667.

Documentation

Links