JASPAR 2022: the 9th release of the open-access database of transcription factor binding profiles

Jaime A. Castro-Mondragón(University of Oslo), Rafael Riudavets Puig(University of Oslo), Ieva Rauluševičiūtė(University of Oslo), Roza Berhanu Lemma(University of Oslo), Laura Turchi(Centre National de la Recherche Scientifique), Romain Blanc‐Mathieu(Centre National de la Recherche Scientifique), Jérémy Lucas(Centre National de la Recherche Scientifique), Paul Boddie(University of Oslo), Aziz Khan(Stanford University), Nicolás Manosalva Pérez(Ghent University), Oriol Fornés(University of British Columbia), Tiffany Y. Leung(University of British Columbia), Alejandro Aguirre(University of British Columbia), Fayrouz Hammal(Inserm), Daniel Schmelter(University of California, Santa Cruz), Damir Baranas̆ić(Hammersmith Hospital), Benoît Ballester(Inserm), Albin Sandelin(University of Copenhagen), Boris Lenhard(Hammersmith Hospital), Klaas Vandepoele(Ghent University), Wyeth W. Wasserman(University of British Columbia), François Parcy(Centre National de la Recherche Scientifique), Anthony Mathelier(Oslo University Hospital)
Nucleic Acids Research
October 22, 2021
Cited by 2,127Open Access
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Abstract

JASPAR (http://jaspar.genereg.net/) is an open-access database containing manually curated, non-redundant transcription factor (TF) binding profiles for TFs across six taxonomic groups. In this 9th release, we expanded the CORE collection with 341 new profiles (148 for plants, 101 for vertebrates, 85 for urochordates, and 7 for insects), which corresponds to a 19% expansion over the previous release. We added 298 new profiles to the Unvalidated collection when no orthogonal evidence was found in the literature. All the profiles were clustered to provide familial binding profiles for each taxonomic group. Moreover, we revised the structural classification of DNA binding domains to consider plant-specific TFs. This release introduces word clouds to represent the scientific knowledge associated with each TF. We updated the genome tracks of TFBSs predicted with JASPAR profiles in eight organisms; the human and mouse TFBS predictions can be visualized as native tracks in the UCSC Genome Browser. Finally, we provide a new tool to perform JASPAR TFBS enrichment analysis in user-provided genomic regions. All the data is accessible through the JASPAR website, its associated RESTful API, the R/Bioconductor data package, and a new Python package, pyJASPAR, that facilitates serverless access to the data.


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