Characterization of gene regulatory networks in plants using new methods and data types
Inducible, tissue-specific gene expression in Arabidopsis using GR-LhG4-mediated trans-activation
Targeted activation of Arabidopsis genes by a potent CRISPR-Act3.0 system
Single cell RNA-sequencing in Arabidopsis root tissues
Analysis of Chromatin Accessibility, Histone Modifications, and Transcriptional States in Specific Cell Types Using Flow Cytometry
Untargeted proteomics and metabolomics analysis of plant organ development
DamID-seq: A DNA methylation method that captures both transient and stable TF-DNA interactions genome-wide in plant cells
CUT&Tag for mapping in vivo protein-DNA interactions in plants
Identification of plant transcription factor DNA-binding sites using seq-DAP-seq
Estimating DNA-binding specificities of transcription factors using SELEX-seq
Immunoprecipitation-mass spectrometry (IP-MS) of protein-protein interactions of nucleus-localized plant proteins
Mapping active gene modules by ChIA-PET in rice
Building high-confidence gene regulatory networks by integrating validated TF-target gene interactions using ConnecTF
The ChIP-hub resource: towards plantEncode
A practical guide to inferring multi-omics networks in plant systems
Gene regulatory network modelling using single-cell multi-omics in plants
Methodology for Constructing a Knowledgebase for Plant Gene Regulation Information
Predicting gene regulatory interactions using natural genetic variation
Prediction of transcription factor regulators and gene regulatory networks in tomato using binding site information
AGENT for Exploring and Analyzing Gene Regulatory Networks from Arabidopsis
A transferable machine learning framework for predicting transcriptional responses of gene across species.