ReMap

ReMap provides comprehensive, manually curated catalogs of regulatory regions by integrating large-scale DNA-binding experiments (ChIP-seq, ChIP-exo, DAP-seq) across Homo sapiens, Mus musculus, Drosophila melanogaster, and Arabidopsis thaliana.


Key Features:

  • Extensive Data Integration: Processed over 11,000 DNA-binding sequencing datasets across four species, with reported human atlases described as 5,798 datasets/1,135 transcriptional regulators/165 million peaks and alternatively 8,103 datasets/1,210 transcriptional regulators/182 million peaks.
  • Species-Specific Catalogs: Human: 8,103 datasets, 182 million peaks, 1,210 TRs; Mouse: 5,503 ChIP-seq datasets, 123 million peaks, 648 TRs; Drosophila melanogaster: 1,205 datasets, 16.6 million peaks, 550 TRs; Arabidopsis thaliana: a catalog with 372 TRs and 2.6 million peaks and a histone modification catalog of 33 marks totaling 4.5 million peaks.
  • Data Sources and Assays: Integrates datasets from GEO, ENCODE, and ENA and processes ChIP-seq, ChIP-exo, and DAP-seq experiments.
  • Enhanced Regulatory Search Space: Integration with public ChIP-seq datasets and ENCODE TF maps increased the human genome regulatory search space by 14% relative to ENCODE alone.
  • Cis Regulatory Module Identification: Includes a reported novel method for identifying Cis Regulatory Modules.

Scientific Applications:

  • Genome-wide regulatory element annotation: Generation of comprehensive catalogs supports identification and annotation of regulatory regions across four model organisms.
  • Transcription factor and chromatin studies: Enables analysis of transcriptional regulator binding repertoires and chromatin modifications using integrated ChIP-seq, ChIP-exo, and DAP-seq data.
  • Cancer regulatory variant annotation: Has been applied to annotate variant enhancer loci (VELs) from H3K4me1 marks in cancer cell lines to investigate non-coding regions involved in cancer development and proliferation.

Methodology:

Integrates and processes ChIP-seq, ChIP-exo, and DAP-seq datasets from GEO, ENCODE, and ENA; performs manual curation of resulting catalogs; integrates public ChIP-seq datasets with ENCODE TF maps; implements a method for identifying Cis Regulatory Modules.

Topics

Details

License:
CC-BY-NC-4.0
Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
2/10/2016
Last Updated:
11/24/2024

Operations

Publications

Griffon A, Barbier Q, Dalino J, van Helden J, Spicuglia S, Ballester B. Integrative analysis of public ChIP-seq experiments reveals a complex multi-cell regulatory landscape. Nucleic Acids Research. 2014;43(4):e27-e27. doi:10.1093/nar/gku1280. PMID:25477382. PMCID:PMC4344487.

Hammal F, de Langen P, Bergon A, Lopez F, Ballester B. ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments. Nucleic Acids Research. 2021;50(D1):D316-D325. doi:10.1093/nar/gkab996. PMID:34751401. PMCID:PMC8728178.

PMID: 34751401
PMCID: PMC8728178
Funding: - Aix-Marseille Université: ANR-10-EQPX-29-01 - Institute MarMaRa: AMX-19-IET- 007

Chèneby J, Ménétrier Z, Mestdagh M, Rosnet T, Douida A, Rhalloussi W, Bergon A, Lopez F, Ballester B. ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments. Nucleic Acids Research. 2019. doi:10.1093/nar/gkz945. PMID:31665499. PMCID:PMC7145625.

Chèneby J, Gheorghe M, Artufel M, Mathelier A, Ballester B. ReMap 2018: an updated atlas of regulatory regions from an integrative analysis of DNA-binding ChIP-seq experiments. Nucleic Acids Research. 2017;46(D1):D267-D275. doi:10.1093/nar/gkx1092. PMID:29126285. PMCID:PMC5753247.

Documentation

Downloads

Links

Repository
https://remap.univ-amu.fr/
(This is the link to download all the data)
Other
https://remap.univ-amu.fr/
(This is the entry point for ReMap)

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