HapFlow
HapFlow visualizes haplotypes in sequencing datasets by representing variant profiles to support haplotype identification and analysis.
Key Features:
- Python implementation: HapFlow is implemented in Python.
- Visualization: Generates abstract visual representations of variant profiles and haplotypes.
- Variant identification: Processes sequencing data to identify variant profiles and reads for analysis.
- Haplotype analysis: Facilitates identification and analysis of haplotypes from genetic data.
Scientific Applications:
- Genetic variation analysis: Enables analysis of genetic variation and assessment of implications for phenotypic traits.
- Inheritance pattern investigation: Supports investigation of allele inheritance patterns within populations.
- Population genetics and evolutionary studies: Aids studies in population genetics, evolutionary biology, and personalized medicine.
Methodology:
Processes sequencing data by identifying variant profiles and reads and constructs abstract visual representations of those variant profiles.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Sullivan MJ, Bachmann NL, Timms P, Polkinghorne A. HapFlow: visualizing haplotypes in sequencing data. Bioinformatics. 2015;32(3):441-443. doi:10.1093/bioinformatics/btv551. PMID:26449930.
PMID: 26449930
Documentation
Training material
https://github.com/mjsull/HapFlow/wiki/Using-HapFlow