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

A systematic, large-scale comparison of transcription factor binding site models.

BMC genomics - 21 May 2016

Hombach Daniela, Schwarz Jana Marie, Robinson Peter N, Schuelke Markus, Seelow Dominik

Abstract excerpt

BACKGROUND: The modelling of gene regulation is a major challenge in biomedical research. This process is dominated by transcription factors (TFs) and mutations in their binding sites (TFBSs) may cause the misregulation of genes, eventually leading to disease. The consequences of DNA variants on TF binding are modelled in silico using binding matrices, but it remains unclear whether these are capable of...

Read the complete abstract on PubMed

Topics

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

Share to Polymorphism, Single Nucleotide
Share to Binding Sites
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Mutation

Share to Transcription Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 27209209
DOI: 10.1186/s12864-016-2729-8
PMCID: PMC4875604

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A systematic, large-scale comparison of transcription factor binding site models.PMID 27209209Read ↗

Comparative analysis of models in predicting the effects of SNPs on TF-DNA binding using large-scale in vitro and in vivo data.Semantic proximity Read ↗

Benchmarking PWM and SVM-based Models for Transcription Factor Binding Site Prediction: A Comparative Analysis on Synthetic and Biological DataSemantic proximity Read ↗

Predicting the effects of SNPs on transcription factor binding affinitySemantic proximity Read ↗

Evaluating the impact of single nucleotide variants on transcription factor binding.Semantic proximity Read ↗

TFBSpedia: a comprehensive human and mouse transcription factor binding sites databaseSemantic proximity Read ↗

Systematic analysis of binding of transcription factors to noncoding variants.Semantic proximity Read ↗

Virtual ChIP-seq: predicting transcription factor binding by learning from the transcriptomeSemantic proximity Read ↗

Prediction of genome-wide effects of single nucleotide variants on transcription factor binding.Semantic proximity Read ↗

TFBSFootprinter: a multiomics tool for prediction of transcription factor binding sites in vertebrate speciesSemantic proximity Read ↗

Classic machine learning on top of multiple position weight matrices improves genomic prediction of transcription factor binding sitesSemantic proximity Read ↗

motifbreakR: an R/Bioconductor package for predicting variant effects at transcription factor binding sites.Semantic proximity Read ↗

A Robust Framework for Predicting Mutation Effects on Transcription Factor Binding: Insights from Mutational Signatures in 560 Breast Cancer GenomesSemantic proximity Read ↗

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