Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1186/s13072-015-0009-5
https://doi.org/10.1186/s13072-015-0009-5
Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility
Cited by: 98
Author(s): Nergiz Dogan, Weisheng Wu, Christapher S. Morrissey, Kuan Bei Chen, Aaron J. Stonestrom, Maria Long, Cheryl A. Keller, Yong Cheng, Deepti Jain, Axel Visel, Len A. Pennacchio, Mitchell J. Weiss, Gerd A. Blobel, Ross C. Hardison
Published: over 9 years ago
Software Mentions 1
bioconductor: CODEX
A Normalization and Copy Number Variation Detection Method for Whole Exome SequencingPapers that mentioned: 72