One interface to nine genomic deep-learning oracles — variant effect prediction, calibrated per-track percentiles, and plain-English analysis through MCP.
Like pinellolab/chorus, 0 likes 0 Bookmark pinellolab/chorus, 0 bookmarks 0 Machine learning methods for DNA sequence analysis.
Like calico/baskerville-tf, 0 likes 0 Bookmark calico/baskerville-tf, 0 bookmarks 0 Command-first ATAC-seq footprinting, motif analysis, and reproducible interactive reports
Like oncologylab/fp-tools, 0 likes 0 Bookmark oncologylab/fp-tools, 0 bookmarks 0 Cherimoya is a lightweight sequence-to-function (S2F) model that is small, fast, and easy to use. Now usable by agents.
Like jmschrei/cherimoya, 0 likes 0 Bookmark jmschrei/cherimoya, 0 bookmarks 0 CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.
Like aertslab/CREsted, 0 likes 0 Bookmark aertslab/CREsted, 0 bookmarks 0 This repository hosts a minimal version of a Python API for BPNet.
Like jmschrei/bpnet-lite, 0 likes 0 Bookmark jmschrei/bpnet-lite, 0 bookmarks 0 Combined RNA and ATAC Footprint Training of Gene Regulatory Network
Like oncologylab/craftgrn, 0 likes 0 Bookmark oncologylab/craftgrn, 0 bookmarks 0 Links to ATAC-seq analysis tools
Like databio/awesome-atac-analysis, 0 likes 0 Bookmark databio/awesome-atac-analysis, 0 bookmarks 0 MACS -- Model-based Analysis of ChIP-Seq
Like macs3-project/MACS, 0 likes 0 Bookmark macs3-project/MACS, 0 bookmarks 0 
