Published January 7, 2022 | Version 2022

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

  • 1. INSERM
  • 1. TAGC INSERM U1090

Description

ReMap is a large scale integrative analysis of DNA-binding experiments for Homo sapiens, Mus musculus, Drosophila melanogaster and Arabidopsis thaliana transcriptional regulators. The catalogues are the results of the manual curation of ChIP-seq, ChIP-exo, DAP-seq from public sources (GEO, ENCODE, ENA).

ReMap (https://remap.univ-amu.fr) aims to provide manually curated, high-quality catalogs of regulatory regions resulting from a large-scale integrative anlysis 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.

We thank our users for past and future feedback to make ReMap useful for the community. The ReMap team welcomes your feedback on the catalogs, use of the website and use of the downloadable files. Please contact benoit.ballester@inserm.fr for development requests.

Reference: 

ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments 
Fayrouz Hammal, Pierre de Langen, Aurélie Bergon, Fabrice Lopez, Benoit Ballester
Nucleic Acids Research, Volume 50, Issue D1, 7 January 2022, Pages D316–D325, 
https://doi.org/10.1093/nar/gkab996

Files

Files (39.9 GB)

Name Size
md5:c4f2055d6324741423a57fe5cf1df788
561.5 MB Download
md5:d7353bb7d013eb9d07bd21199ea314fe
6.9 GB Download
md5:2e7fe7777174e183fa71257c7c96ce4c
4.9 GB Download
md5:7da00feab4f8b0b2f967bf0d4449e0f7
118.1 MB Download
md5:6f2e5d575ddba9c667321605d423e2b1
528.5 MB Download
md5:2126a46c297454b37d4cc977b2572321
4.5 GB Download
md5:e59b2c9a160eafdbbad537a64b072a94
4.5 GB Download
md5:281a503184ee2cdb8e512eb2e23b02f0
3.2 GB Download
md5:5893d2f8fc0100b1a88a5d05390aaa4b
3.2 GB Download
md5:6214300c99f5aa04f0485e302e37def1
116.2 MB Download
md5:35ddc230457cb2f51ffe294a7229581c
37.0 MB Download
md5:a745afce69bd55aa1957fa6ad4f91ebf
205.4 MB Download
md5:d689253ad5eaa057dd84431cee6b33b5
199.8 MB Download
md5:532d78386d08f54cc6536adf35684d10
127.4 MB Download
md5:468d9ebfae40084c7e4e4b741a9c3b0a
9.6 MB Download
md5:0c2e6eb1a73a8a855e60408deac0ec6c
27.0 MB Download
md5:187a8f847fb655520985c5466c23766f
1.9 GB Download
md5:abdf852d88fc971a194369b4dc7ad871
1.9 MB Download
md5:de1b59c9dc98c2939a01d8ed21b9c1b5
85.8 MB Download
md5:70aa453eca5864bb21ba93fa79af2bad
1.8 MB Download
md5:1af74a944c7d3f7c56e9424a9f72cac0
20.9 MB Download
md5:d69d72a02c748e83f48ef01051403ed6
228.0 MB Download
md5:03f6667736a1afcf408ea23732f5e960
5.2 GB Download
md5:ce63d36c5e7079bc0e0f1bf02461369c
1.5 GB Download
md5:c21ef523147c7c0739354b58cf0e0d83
893.8 MB Download
md5:1017c255b44f2254f01fa374757be612
893.7 MB Download
md5:fc713e504ada0435b832416f3bf6571e
56.0 MB Download

Additional details

Related works

Is published in
Publication: 10.1093/nar/gkab996 (DOI)