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 PubMedAccess 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-1456Access 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 morePublication Notes
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.