Publication | Open Access
JASPAR 2016: a major expansion and update of the open-access database of transcription factor binding profiles
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2015
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GeneticsMolecular BiologyGenomicsJaspar ApiBioinformatics DatabasePhylogenetic AnalysisTranscriptional RegulationMolecular EcologyJaspar 2016Computational GenomicsTranscription FactorsBiological DatabaseJaspar CollectionOmicsPathway AnalysisGene ExpressionFunctional GenomicsBioinformaticsTranscription RegulationBiologyGene Sequence AnnotationNatural SciencesMajor ExpansionOmics DatasetsComputational BiologyBiological DatabasesSystems BiologyMedicineOpen-access Database
JASPAR is an open‑access database of curated, non‑redundant transcription factor binding profiles represented as position‑frequency matrices for multiple species across six taxonomic groups. The 2016 release expanded the CORE collection with 494 new and 59 updated profiles across vertebrates, nematodes, insects, fungi, and plants, updated DNA‑binding domain annotations, introduced 130 flexible models trained on ChIP‑seq data, and added a web tool, Ruby module, and R/Bioconductor package to enable profile inference and programmatic access. These updates represent an 83% increase in profiles and a 10% update relative to the previous release.
JASPAR (http://jaspar.genereg.net) is an open-access database storing curated, non-redundant transcription factor (TF) binding profiles representing transcription factor binding preferences as position frequency matrices for multiple species in six taxonomic groups. For this 2016 release, we expanded the JASPAR CORE collection with 494 new TF binding profiles (315 in vertebrates, 11 in nematodes, 3 in insects, 1 in fungi and 164 in plants) and updated 59 profiles (58 in vertebrates and 1 in fungi). The introduced profiles represent an 83% expansion and 10% update when compared to the previous release. We updated the structural annotation of the TF DNA binding domains (DBDs) following a published hierarchical structural classification. In addition, we introduced 130 transcription factor flexible models trained on ChIP-seq data for vertebrates, which capture dinucleotide dependencies within TF binding sites. This new JASPAR release is accompanied by a new web tool to infer JASPAR TF binding profiles recognized by a given TF protein sequence. Moreover, we provide the users with a Ruby module complementing the JASPAR API to ease programmatic access and use of the JASPAR collection of profiles. Finally, we provide the JASPAR2016 R/Bioconductor data package with the data of this release.
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