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ReMap ChIP-seq Track Settings
ReMap ChIP-seq Track Settings

Remap | TAGC - Theories and Approaches of Genomic Complexity
Remap | TAGC - Theories and Approaches of Genomic Complexity

Population size estimation for quality control of ChIP-Seq datasets | PLOS ONE
Population size estimation for quality control of ChIP-Seq datasets | PLOS ONE

ChIP sequencing - Wikipedia
ChIP sequencing - Wikipedia

GTRD
GTRD

Insights gained from a comprehensive all-against-all transcription factor binding motif benchmarking study | Genome Biology | Full Text
Insights gained from a comprehensive all-against-all transcription factor binding motif benchmarking study | Genome Biology | Full Text

PDF] Cistrome Data Browser: a data portal for ChIP-Seq and chromatin accessibility data in human and mouse | Semantic Scholar
PDF] Cistrome Data Browser: a data portal for ChIP-Seq and chromatin accessibility data in human and mouse | Semantic Scholar

Quantification of Differential Transcription Factor Activity and Multiomics-Based Classification into Activators and Repressors: diffTF - ScienceDirect
Quantification of Differential Transcription Factor Activity and Multiomics-Based Classification into Activators and Repressors: diffTF - ScienceDirect

ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐ seq data | EMBO reports
ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐ seq data | EMBO reports

Functional assessment of heart-specific enhancers by integrating ChIP-seq data | Pediatric Research
Functional assessment of heart-specific enhancers by integrating ChIP-seq data | Pediatric Research

ReMap 2020: Atlas of Regulatory Regions
ReMap 2020: Atlas of Regulatory Regions

ReMap 2022: Atlas of Regulatory Regions
ReMap 2022: Atlas of Regulatory Regions

Landscape of allele-specific transcription factor binding in the human genome | Nature Communications
Landscape of allele-specific transcription factor binding in the human genome | Nature Communications

ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments. - Abstract - Europe PMC
ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments. - Abstract - Europe PMC

Benoit Ballester on Twitter: "The ReMap 2022 release is now on-line at https://t.co/3bv9RdYRfn. Regulatory ChIP-seq catalogue have been updated for Human and Arabidopsis, with new Mouse and Drosophila regulatory catalogues. https://t.co/m6jwUPyucS" /
Benoit Ballester on Twitter: "The ReMap 2022 release is now on-line at https://t.co/3bv9RdYRfn. Regulatory ChIP-seq catalogue have been updated for Human and Arabidopsis, with new Mouse and Drosophila regulatory catalogues. https://t.co/m6jwUPyucS" /

ReMap 2022: Atlas of Regulatory Regions
ReMap 2022: Atlas of Regulatory Regions

OccuPeak: ChIP-Seq Peak Calling Based on Internal Background Modelling | PLOS ONE
OccuPeak: ChIP-Seq Peak Calling Based on Internal Background Modelling | PLOS ONE

Overview of MANTA2. a) Intersection of the ReMap ChIP-seq regions with... | Download Scientific Diagram
Overview of MANTA2. a) Intersection of the ReMap ChIP-seq regions with... | Download Scientific Diagram

ChIP-seq meta-analysis yields high quality training sets for enhancer classification | bioRxiv
ChIP-seq meta-analysis yields high quality training sets for enhancer classification | bioRxiv

xcore vignette
xcore vignette

MapRRCon
MapRRCon

Frontiers | Integrating Peak Colocalization and Motif Enrichment Analysis for the Discovery of Genome-Wide Regulatory Modules and Transcription Factor Recruitment Rules
Frontiers | Integrating Peak Colocalization and Motif Enrichment Analysis for the Discovery of Genome-Wide Regulatory Modules and Transcription Factor Recruitment Rules

Predicting stimulation-dependent enhancer-promoter interactions from ChIP- Seq time course data [PeerJ]
Predicting stimulation-dependent enhancer-promoter interactions from ChIP- Seq time course data [PeerJ]

ChIP-seq meta-analysis yields high quality training sets for enhancer classification | bioRxiv
ChIP-seq meta-analysis yields high quality training sets for enhancer classification | bioRxiv

Cancers | Free Full-Text | Integrative RNA-Seq and H3 Trimethylation ChIP- Seq Analysis of Human Lung Cancer Cells Isolated by Laser-Microdissection
Cancers | Free Full-Text | Integrative RNA-Seq and H3 Trimethylation ChIP- Seq Analysis of Human Lung Cancer Cells Isolated by Laser-Microdissection

A comprehensive resource for retrieving, visualizing, and integrating functional genomics data | Life Science Alliance
A comprehensive resource for retrieving, visualizing, and integrating functional genomics data | Life Science Alliance