BART: a transcription factor prediction tool with query gene sets or epigenomic profiles

Author:

Wang Zhenjia1,Civelek Mete12,Miller Clint L1234,Sheffield Nathan C1234,Guertin Michael J14,Zang Chongzhi12345ORCID

Affiliation:

1. Center for Public Health Genomics, Charlottesville, VA, USA

2. Department of Biomedical Engineering, Charlottesville, VA, USA

3. Department of Public Health Sciences, Charlottesville, VA, USA

4. Department of Biochemistry and Molecular Genetics, Charlottesville, VA, USA

5. Cancer Center, University of Virginia, Charlottesville, VA, USA

Funder

National Institutes of Health

American Cancer Society

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference20 articles.

1. Relating genes to function: identifying enriched transcription factors using the ENCODE ChIP-Seq significance tool;Auerbach;Bioinformatics,2013

2. Analysis of genomic sequence motifs for deciphering transcription factor binding and transcriptional regulation in eukaryotic cells;Boeva;Front. Genet,2016

3. Transcriptional addiction in cancer;Bradner;Cell,2017

4. Histone H3K27ac separates active from poised enhancers and predicts developmental state;Creyghton;Proc. Natl. Acad. Sci. U.S.A,2010

5. Epigenomic annotation-based interpretation of genomic data: from enrichment analysis to machine learning;Dozmorov;Bioinformatics,2017

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