Transcription factor binding site databases
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Identification of genomic regulatory elements is essential for understanding the dynamics of cellular processes. Recent advances in chromatin immunoprecipitation followed by sequencing (ChIP-seq) have provided powerful ways to identify genome-wide profiling of DNA-binding proteins and histone modifications[1][2]. The application of ChIP-seq methods has reliably discovered transcription factor binding sites and histone modification sites.
Transcription factor binding site databases
Comprehensive List of transcription factor binding sites (TFBSs) databases based on ChIP-seq data as follows:
Name | Description | type | Link | References |
---|---|---|---|---|
ChIPBase | ChIPBase a database for transcription factor binding sites, motifs (~1290 transcrition factors) and decoding the transcriptional regulation of lncRNAs, miRNAs and protein-coding genes from ~10,200 curated peak datasets derived from ChIP-seq methods in 10 species | database | [website | [3] |
ChEA | transcription factor regulation inferred from integrating genome-wide ChIP-X experiments. | database | website | [4] |
CistromeMap | a knowledgebase and web server for ChIP-Seq and DNase-Seq studies in mouse and human. | database | website | [5] |
CTCFBSDB | a database for CTCF binding sites and genome organization | database | website | [6] |
Factorbook | a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium. | database | website | [7] |
hmChIP | a database and web server for exploring publicly available human and mouse ChIP-seq and ChIP-chip data. | database | website | [8] |
HOCOMOCO | a comprehensive collection of human transcription factor binding sites models. | database | website | [9] |
JASPAR | The JASPAR CORE database contains a curated, non-redundant set of profiles, derived from published collections of experimentally defined transcription factor binding sites for eukaryotes. | database | [website | [10] |
SwissRegulon | a database of genome-wide annotations of regulatory sites. | database | [website | [11] |
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- ^ Park, Peter J. (1 October 2009). "ChIP–seq: advantages and challenges of a maturing technology". Nature Reviews Genetics. 10 (10): 669–680. doi:10.1038/nrg2641. ISSN 1471-0056. PMID 19736561.
- ^ Farnham, Peggy J. (1 September 2009). "Insights from genomic profiling of transcription factors". Nature Reviews Genetics. 10 (9): 605–616. doi:10.1038/nrg2636. ISSN 1471-0056. PMID 19668247.
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