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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