ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments

Nucleic Acids Res. 2022 Jan 7;50(D1):D316-D325. doi: 10.1093/nar/gkab996.


ReMap ( aims to provide manually curated, high-quality catalogs of regulatory regions resulting from a large-scale integrative analysis of DNA-binding experiments in Human, Mouse, Fly and Arabidopsis thaliana for hundreds of transcription factors and regulators. In this 2022 update, we have uniformly processed >11 000 DNA-binding sequencing datasets from public sources across four species. The updated Human regulatory atlas includes 8103 datasets covering a total of 1210 transcriptional regulators (TRs) with a catalog of 182 million (M) peaks, while the updated Arabidopsis atlas reaches 4.8M peaks, 423 TRs across 694 datasets. Also, this ReMap release is enriched by two new regulatory catalogs for Mus musculus and Drosophila melanogaster. First, the Mouse regulatory catalog consists of 123M peaks across 648 TRs as a result of the integration and validation of 5503 ChIP-seq datasets. Second, the Drosophila melanogaster catalog contains 16.6M peaks across 550 TRs from the integration of 1205 datasets. The four regulatory catalogs are browsable through track hubs at UCSC, Ensembl and NCBI genome browsers. Finally, ReMap 2022 comes with a new Cis Regulatory Module identification method, improved quality controls, faster search results, and better user experience with an interactive tour and video tutorials on browsing and filtering ReMap catalogs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Arabidopsis / genetics*
  • Arabidopsis / metabolism
  • Atlases as Topic
  • Base Sequence
  • Binding Sites
  • DNA / genetics
  • DNA / metabolism
  • Databases, Genetic*
  • Datasets as Topic
  • Drosophila melanogaster / genetics*
  • Drosophila melanogaster / metabolism
  • Gene Regulatory Networks
  • Humans
  • Internet
  • Mice
  • Regulatory Elements, Transcriptional*
  • Sequence Analysis, DNA
  • Software*
  • Transcription Factors / classification
  • Transcription Factors / genetics*
  • Transcription Factors / metabolism
  • Transcription, Genetic*


  • Transcription Factors
  • DNA