Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Cell-type and transcription factor specific enrichment of transcriptional cofactor motifs in ENCODE ChIP-seq data.

BMC genomics - 1 Jan 2013

Goi Chin, Little Peter, Xie Chao

Abstract excerpt

BACKGROUND: Cell type and TF specific interactions between Transcription Factors (TFs) and cofactors are essential for transcriptional regulation through recruitment of general transcription machinery to gene promoter regions and their identification heavily reliant on protein interaction assays. RESULTS: Using TF targeted chromatin immunoprecipitation coupled with massively parallel sequencing (ChIP-seq) data...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Amino Acid Motifs
Share to Chromatin
Share to Chromatin Immunoprecipitation

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Chromosomes, Human

Share to Gene Regulatory Networks

Share to HeLa Cells

Share to Hep G2 Cells

Share to K562 Cells

Source

Open in PubMed Open full text

Identifiers

PMID: 24564528
DOI: 10.1186/1471-2164-14-S5-S2
PMCID: PMC3852067

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Cell-type and transcription factor specific enrichment of transcriptional cofactor motifs in ENCODE ChIP-seq data.PMID 24564528Read ↗

MAGIC: A tool for predicting transcription factors and cofactors binding sites in gene sets using ENCODE dataSemantic proximity Read ↗

Large-scale prediction of transcription factor binding across human cell types informs regulatory genomics and reveals promiscuous occupancy associated with chromatin contactsSemantic proximity Read ↗

Factorbook: an Updated Catalog of Transcription Factor Motifs and Candidate Regulatory Motif SitesSemantic proximity Read ↗

A proteocistromic atlas of 216 human disease-relevant transcription factorsSemantic proximity Read ↗

Unmeasured human transcription factor ChIP-seq data shape functional genomics and demand strategic prioritization.Semantic proximity Read ↗

Annotations capturing cell-type-specific TF binding explain a large fraction of disease heritabilitySemantic proximity Read ↗

Discovery and validation of information theory-based transcription factor and cofactor binding site motifs.Semantic proximity Read ↗

Comparative evaluation of genomic footprinting algorithms for predicting transcription factor binding sites in single-cell dataSemantic proximity Read ↗

Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters.Semantic proximity Read ↗

Codebook: sequence specificity and genomic binding of poorly-characterized human transcription factorsSemantic proximity Read ↗

BART: a transcription factor prediction tool with query gene sets or epigenomic profilesSemantic proximity Read ↗

Occupancy patterns of 208 DNA-associated proteins in a single human cell typeSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.