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

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

Bioinformatics (Oxford, England) - 1 Dec 2015

Coetzee Simon G, Coetzee Gerhard A, Hazelett Dennis J

Abstract excerpt

UNLABELLED: Functional annotation represents a key step toward the understanding and interpretation of germline and somatic variation as revealed by genome-wide association studies (GWAS) and The Cancer Genome Atlas (TCGA), respectively. GWAS have revealed numerous genetic risk variants residing in non-coding DNA associated with complex diseases. For sequences that lie within enhancers or promoters of...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Binding Sites
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Regulatory Elements, Transcriptional

Share to Regulatory Sequences, Nucleic Acid

Share to Sequence Analysis, DNA

Share to Software

Share to Transcription Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 26272984
DOI: 10.1093/bioinformatics/btv470
PMCID: PMC4653394

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

motifbreakR: an R/Bioconductor package for predicting variant effects at transcription factor binding sites.PMID 26272984Read ↗

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

Ultra-fast variant effect prediction using biophysical transcription factor binding modelsSemantic proximity Read ↗

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

MAGGIE: leveraging genetic variation to identify DNA sequence motifs mediating transcription factor binding and function.Semantic proximity Read ↗

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

Identification of breast cancer associated variants that modulate transcription factor binding.Semantic proximity Read ↗

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

SEMPLR: an R package for transcription factor binding prediction.Semantic proximity Read ↗

A novel k-mer set memory (KSM) motif representation improves regulatory variant predictionSemantic proximity Read ↗

Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints.Semantic proximity Read ↗

SEMplMe: A tool for integrating DNA methylation effects in transcription factor binding affinity predictionsSemantic proximity Read ↗

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

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