BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factors-Reference-Cited by-同舟云学术

BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factors

Published:2009-10-20 Issue:1 Volume:10 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Wang Junbai,Morigen

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-10-345.pdf

Reference68 articles.

1. Alberts B, Johnson AL, Lewis J, Raff M, Roberts K, Walter P: Molecular Biology of the Cell. New York and London: Garland Science; 2002.

2. Wang J: A new framework for identifying combinatorial regulation of transcription factors: a case study of the yeast cell cycle. Journal of biomedical informatics 2007, 40(6):707–725. 10.1016/j.jbi.2007.02.003

3. Kornberg RD, Lorch Y: Twenty-five years of the nucleosome, fundamental particle of the eukaryote chromosome. Cell 1999, 98(3):285–294. 10.1016/S0092-8674(00)81958-3

4. Morse RH: Getting into chromatin: how do transcription factors get past the histones? Biochemistry and cell biology = Biochimie et biologie cellulaire 2003, 81(3):101–112. 10.1139/o03-039

5. Lee W, Tillo D, Bray N, Morse RH, Davis RW, Hughes TR, Nislow C: A high-resolution atlas of nucleosome occupancy in yeast. Nature genetics 2007, 39(10):1235–1244. 10.1038/ng2117

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying functional regulatory mutation blocks by integrating genome sequencing and transcriptome data;iScience;2023-08

2. Anticipating response function in gene regulatory networks;Journal of The Royal Society Interface;2021-06

3. IGAP-integrative genome analysis pipeline reveals new gene regulatory model associated with nonspecific TF-DNA binding affinity;Computational and Structural Biotechnology Journal;2020

4. BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts;Frontiers in Genetics;2019-04-02

5. Predicting Variation of DNA Shape Preferences in Protein-DNA Interaction in Cancer Cells with a New Biophysical Model;Genes;2017-09-18