Rationale:
Large indel polymorphisms are important for crop improvement, but identifying large indels is challenging.
A pan-genome is essential to comprehensively catalog large indels.
Utilizing a pan-genome requires specialized bioinformatics skills.
BRIDGEcereal provides a user-friendly interface to efficiently identify large indels from pan-genomes of major cereal crops, accelerating gene discovery for important traits.
Approach:
BRIDGEcereal webapp is built based on two novel unsupervised machine learning algorithms:
CHOICE and CLIPS.
Applications:
1. Narrow down the candidate gene list in the QTL/GWAS interval.
2. Explore the full spectrum of natural variations of the target gene.
Update (02-24-2024):
1. Use transcript model ID, instead gene model ID as the query.
2. Improved efficiency through parallel computation.
Citation:
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