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.
PMID: 31038667