CiiiDER: A tool for predicting and analysing transcription factor binding sites

The availability of large amounts of high-throughput genomic, transcriptomic and epigenomic data has provided opportunity to understand regulation of the cellular transcriptome with an unprecedented level of detail. As a result, research has advanced from identifying gene expression patterns associa...

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Veröffentlicht in:	PloS one 2019-09, Vol.14 (9), p.e0215495-e0215495
Hauptverfasser:	Gearing, Linden J, Cumming, Helen E, Chapman, Ross, Finkel, Alexander M, Woodhouse, Isaac B, Luu, Kevin, Gould, Jodee A, Forster, Samuel C, Hertzog, Paul J
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Binding Sites Biochemistry Bioinformatics Biology and Life Sciences Chromatin Immunoprecipitation Sequencing Computational Biology - methods Computer and Information Sciences Computer applications Deoxyribonucleic acid DNA DNA binding proteins Engineering and Technology Enhancers Gene expression Genes Genomes Genomics Graphical user interface Infectious diseases Interferon Java Medical research Methods Open access Predictions Protein Binding Regulatory sequences Research and Analysis Methods Signal transduction Software Software upgrading Stem cells Transcription factors Transcription Factors - metabolism Vertebrates Workflow
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