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HMMRATAC (https://github.com/LiuLabUB/HMMRATAC) is a dedicated peak caller for ATAC-seq data. It is written in JAVA, and it has some shared ideas with MACS2. It can be rewritten in Python3 and be integrated into MACS as a subcommand while dealing with ATAC-seq data.
Describe the solution you'd like
JAVA -> Python3 translation
Share MACS components
Design unit tests
Additional context
Some difficulties: HMMRATAC contains machine learning components such as EM algorithm, and Hidden Markov Models. We may need to introduce more dependencies including scikit-learn, hmmlearn and matplotlib.
The text was updated successfully, but these errors were encountered:
HMMRATAC (https://github.com/LiuLabUB/HMMRATAC) is a dedicated peak caller for ATAC-seq data. It is written in JAVA, and it has some shared ideas with MACS2. It can be rewritten in Python3 and be integrated into MACS as a subcommand while dealing with ATAC-seq data.
Describe the solution you'd like
Additional context
Some difficulties: HMMRATAC contains machine learning components such as EM algorithm, and Hidden Markov Models. We may need to introduce more dependencies including scikit-learn, hmmlearn and matplotlib.
The text was updated successfully, but these errors were encountered: