AT5G08750

Information AT5G08750

Description

Full Name

Source NCBI

ReMap Statistics

Datasets
14
Biotypes
3
Peaks
436
Non-redundant peaks
436

TF Classification

Familly
REM
Sub Familly
NA

Source AtTFDB

External IDs

JASPAR
Ensembl
UniProt
Genevisible
RefSeq
Aliases
Unknown
All peaks AT5G08750
Download BED file
Non redundant peaks AT5G08750
Download BED file
SEQUENCES AT5G08750
Download FASTA file
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Datasets Table for AT5G08750

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
RPS4 Col-0 Col-0_leaves 3-5w-eds1 GEO Arabidopsis thaliana GSE40329 2,679
RPS4 Col-0 Col-0_leaves 3-5w GEO Arabidopsis thaliana GSE40329 2,344
RPS4 Col-0 Col-0_leaves tnt_col GEO Arabidopsis thaliana GSE60141 172
RPS4 Col-0 Col-0_seedling 12d-mutant-flg22-0h GEO Arabidopsis thaliana GSE109149 15,277
RPS4 Col-0 Col-0_seedling 12d-mutant-flg22-2h GEO Arabidopsis thaliana GSE109149 14,869
RPS4 Col-0 Col-0_seedling 12d-wt-flg22-0h GEO Arabidopsis thaliana GSE109149 14,542
RPS4 Col-0 Col-0_seedling 12d-wt-flg22-2h GEO Arabidopsis thaliana GSE109149 15,832
RPS4 Col-0 Col-0_seedling 15d-LFY-TERE GEO Arabidopsis thaliana GSE64245 3,929
RPS4 Col-0 Col-0_seedling-etiolated 5d GEO Arabidopsis thaliana GSE51770 2,567
RPS4 Col-0 Col-0_leaves tnt_col GEO Arabidopsis thaliana GSE60141 436
RPS4 Col-0 Col-0_leaves tnt_col GEO Arabidopsis thaliana GSE60141 780
RPS4 Col-0 Col-0_leaves tnt_col GEO Arabidopsis thaliana GSE60141 540
RPS4 Col-0 Col-0_leaves tnt_col GEO Arabidopsis thaliana GSE60141 194
RPS4 Col-0 Col-0_leaves tnt_col GEO Arabidopsis thaliana GSE60141 2,482
Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks

ReMap is a database of transcriptional regulators peaks derived from curated ChIP-seq, ChIP-exo, DAP-seq experiments in Human and Thaliana.

You are using the 2020 ReMap (3rd) release.
The ReMap catalogues (2020, 2018, 2015) are under CC BY-NC 4.0 international license, while ReMapEnrich, remap-pipeline under GNU GPLv3 licence.

Inserm TAGC
AMU AMU-MESO

This work was granted access to the HPC resources of Aix-Marseille Université financed by the project Equip@Meso (ANR-10-EQPX-29-01) of the program "Investissements d’Avenir" supervised by the Agence Nationale de la Recherche.