JASPAR 2022: the 9th release of the open-access database of transcription factor binding profiles
Clicks: 2
ID: 291815
2021
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
0.3
/100
2 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #1,024 of 1,217 articles by views in Nucleic Acids Research
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,217 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
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.
| Reference Key |
openalex_W3215596355
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Jaime A. Castro-Mondragón, Rafael Riudavets Puig, Ieva Rauluševičiūtė, Roza Berhanu Lemma, Laura Turchi, Romain Blanc‐Mathieu, Jérémy Lucas, Paul Boddie, Aziz Khan, Nicolás Manosalva Pérez, Oriol Fornés, Tiffany Y. Leung, Alejandro Aguirre, Fayrouz Hammal, Daniel Schmelter, Damir Baranašić, Benoît Ballester, Albin Sandelin, Boris Lenhard, Klaas Vandepoele, Wyeth W. Wasserman, François Parcy, Anthony Mathelier |
| Journal | Nucleic Acids Research |
| Year | 2021 |
| DOI |
10.1093/nar/gkab1113
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.