lizhao007/DeepBSA
DeepBSA is a novel bulked segregant analysis (BSA) software for the dissection of complex traits.
DeepBSA helps geneticists and plant breeders identify specific genomic regions linked to desired traits, like disease resistance or yield. It takes VCF files, which contain genetic variations from multiple 'bulked' populations, and outputs clear graphical representations and data tables showing where these traits are located in the genome. Researchers can use this to efficiently pinpoint important genes without needing advanced bioinformatics skills.
No commits in the last 6 months.
Use this if you are a geneticist, plant breeder, or biologist working with bulked segregant analysis (BSA) to map complex traits and need a user-friendly tool to analyze your VCF data.
Not ideal if you are not working with genomic variant data (VCF files) or if your research does not involve bulked segregant analysis for trait dissection.
Stars
22
Forks
3
Language
—
License
—
Category
Last pushed
Aug 06, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/lizhao007/DeepBSA"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
google/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants...
cgoliver/rnaglib
Toolkit for structure-based deep learning on RNA.
google/deepsomatic
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants...
Kuanhao-Chao/OpenSpliceAI
🤖 Open‑source deep-learning-based splice‑site predictor that decodes splicing patterns across species
Merck/deepbgc
BGC Detection and Classification Using Deep Learning