Skip to main content

ChIP-nexus enables improved detection of in vivo transcription factor binding footprints.

He Q, Johnston J, Zeitlinger J. Nat Biotechnol. 2015;33:395-401.

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-751

Publication Notes

Accession number, availability of analysis code and experimental protocol All ChIP-nexus, ChIP-exo and ChIP-seq samples analyzed in this study are available from the NCBI Gene Expression Omnibus (GEO) under accession number GSE55306. All analysis code used for data processing and figure generation is available via GitHub at https://github.com/zeitlingerlab. In addition, we have prepared a Linux virtual machine containing all software tools, analysis code, raw data and processed data used in this study. Instructions for accessing the virtual machine via Amazon Web Services, as well as a detailed ChIP-nexus protocol, can be found at our website (http://research.stowers.org/zeitlingerlab).

Stowers Original Data Repository

Supporting the scientific spirit of transparency, the Stowers Institute for Medical Research makes the data underlying its scientific publications freely accessible to the scientific community. Access to original, unprocessed data allows other scientists to validate and extend findings made by Stowers researchers.

Learn more

Sign up for alerts