Base-resolution models of transcription-factor binding reveal soft motif syntax
Avsec Z, Weilert M, Shrikumar A, Krueger S, Alexandari A, Dalal K, Fropf R, McAnany C, Gagneur J, Kundaje A, Zeitlinger J. Nat Genet. 2021;53:354-366.Read on PubMed
Access the original data:
If data accessed from a repository is used in further analysis and publications, we request that proper credit is given to the original authors by citing the reference above.Stowers Original Data Repository | Accession ID: LIBPB-1456
Access the Stowers Data Repository
Access to original, unprocessed data underlying work published by Stowers researchers allows the scientific community to validate and extend the findings made by Stowers researchers.Learn more
The Stowers Institute contributing authors have selected to present the raw data of this manuscript resulting from work performed at The Stowers Institute. Data sets have been deposited in GEO under the accession number GSE137193. Data used to train, evaluate and interpret the BPNet models are found on ZENODO. The analysis code for the manuscript is available in GitHub under the "kundajelab/bpnet-manuscript" repository. The BPNet software package is available at GITHUB. The ChIP-nexus data processing pipeline is available at GITHUB. Software to trim and de-duplicate ChIP-nexus reads is available at GITHUB. The BPNet model trained on ChIP-nexus data is available on Kipoi under the name "BPNet-OSKN". Genome browser tracks showing observed/predicted ChIP-nexus signal and the contribution scores for all factors are available at Kipoi.