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TRANSFAC® and its module TRANSCompel®: transcriptional gene regulation in eukaryotes

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TLDR
The TRANSFAC® database on transcription factors, their binding sites, nucleotide distribution matrices and regulated genes as well as the complementing database TRANSCompel® on composite elements have been further enhanced on various levels.
Abstract
The TRANSFAC database on transcription factors, their binding sites, nucleotide distribution matrices and regulated genes as well as the complementing database TRANSCompel on composite elements have been further enhanced on various levels. A new web interface with different search options and integrated versions of Match and Patch provides increased functionality for TRANSFAC. The list of databases which are linked to the common GENE table of TRANSFAC and TRANSCompel has been extended by: Ensembl, UniGene, EntrezGene, HumanPSD and TRANSPRO. Standard gene names from HGNC, MGI and RGD, are included for human, mouse and rat genes, respectively. With the help of InterProScan, Pfam, SMART and PROSITE domains are assigned automatically to the protein sequences of the transcription factors. TRANSCompel contains now, in addition to the COMPEL table, a separate table for detailed information on the experimental EVIDENCE on which the composite elements are based. Finally, for TRANSFAC, in respect of data growth, in particular the gain of Drosophila transcription factor binding sites (by courtesy of the Drosophila DNase I footprint database) and of Arabidopsis factors (by courtesy of DATF, Database of Arabidopsis Transcription Factors) has to be stressed. The here described public releases, TRANSFAC 7.0 and TRANSCompel 7.0, are accessible under http://www.gene-regulation.com/pub/databases.html.

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Journal ArticleDOI

Classification of human genomic regions based on experimentally determined binding sites of more than 100 transcription-related factors.

TL;DR: Three pairs of regions exhibit intricate differences in chromosomal locations, chromatin features, factors that bind them, and cell-type specificity, and the machine learning approach enables us to identify features potentially general to all transcription factors, including those not included in the data.
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Conserved elements with potential to form polymorphic G-quadruplex structures in the first intron of human genes

TL;DR: The 2 kb spanning the transcription start sites (TSS) of the 18 217 human RefSeq genes are examined, distinguishing contributions of template and nontemplate strands, and the notion that quadruplex formation upstream of the TSS contributes to regulation of gene expression is challenged.
Journal ArticleDOI

Predicting cell-type-specific gene expression from regions of open chromatin.

TL;DR: Information of open chromatin obtained by a single assay, DNase-seq, is successfully used to address the problem of predicting cell-type-specific gene expression in mammalian organisms directly from regulatory sequence.
References
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Journal ArticleDOI

The Pfam protein families database

TL;DR: The definition and use of family-specific, manually curated gathering thresholds are explained and some of the features of domains of unknown function (also known as DUFs) are discussed, which constitute a rapidly growing class of families within Pfam.
Journal ArticleDOI

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TL;DR: In addition to maintaining the GenBank(R) nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data analysis and retrieval resources for the data in GenBank and other biological data made available through NCBI’s website.
Journal ArticleDOI

Pfam: the protein families database.

TL;DR: Pfam as discussed by the authors is a widely used database of protein families, containing 14 831 manually curated entries in the current version, version 27.0, and has been updated several times since 2012.
Journal ArticleDOI

Entrez Gene: gene-centered information at NCBI

TL;DR: Entrez Gene is a step forward from NCBI's LocusLink, with both a major increase in taxonomic scope and improved access through the many tools associated with NCBI Entrez.
Journal ArticleDOI

TRANSFAC®: transcriptional regulation, from patterns to profiles

TL;DR: The TRANSFAC database on eukaryotic transcriptional regulation, comprising data on transcription factors, their target genes and regulatory binding sites, has been extended and further developed, both in number of entries and in the scope and structure of the collected data.
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