Statistical estimates of multiple transcription factors binding in the model plant genomes based on ChIP-seq data.

ABSTRACT: The development of high-throughput genomic sequencing coupled with chromatin immunoprecipitation technologies allows studying the binding sites of the protein transcription factors (TF) in the genome scale. The growth of data volume on the experimentally determined binding sites raises qualitatively new problems for the analysis of gene expression regulation, prediction of transcription factors target genes, and regulatory gene networks reconstruction. Genome regulation remains an insufficiently studied though plants have complex molecular regulatory mechanisms of gene expression and response to environmental stresses. It is important to develop new software tools for the analysis of the TF binding sites location and their clustering in the plant genomes, visualization, and the following s

SUBMITTER: Dergilev AI 

PROVIDER: S-EPMC9069649 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature