Journal article
Computational analysis of promoter elements and chromatin features in yeast
Methods in molecular biology (Clifton, N.J.), Vol.809, pp.217-235
2012
Handle:
https://hdl.handle.net/2376/105890
PMID: 22113279
Abstract
Regulatory elements in promoter sequences typically function as binding sites for transcription factor proteins and thus are critical determinants of gene transcription. There is growing evidence that chromatin features, such as histone modifications or nucleosome positions, also have important roles in transcriptional regulation. Recent functional genomics and computational studies have yielded extensive datasets cataloging transcription factor binding sites (TFBS) and chromatin features, such as nucleosome positions, throughout the yeast genome. However, much of this data can be difficult to navigate or analyze efficiently. This chapter describes practical methods for the visualization, data mining, and statistical analysis of yeast promoter elements and chromatin features using two Web-accessible bioinformatics databases: ChromatinDB and Ceres.
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Details
- Title
- Computational analysis of promoter elements and chromatin features in yeast
- Creators
- John J Wyrick - School of Molecular Biosciences and Center for Reproductive Biology, Washington State University, Pullman, WA, USA. jwyrick@wsu.edu
- Publication Details
- Methods in molecular biology (Clifton, N.J.), Vol.809, pp.217-235
- Academic Unit
- Molecular Biosciences, School of
- Publisher
- United States
- Identifiers
- 99900546707101842
- Language
- English
- Resource Type
- Journal article