Uncover the key genes behind your plant traits
From scientific literature to candidate genes and gene discovery — an integrated pipeline for plant biologists, genomic selection programs, and molecular breeders.
An AI-assisted pipeline that takes a trait term as it appears in the literature and returns a ranked list of candidate genes in your organism, with the evidence behind every one of them.
Automatically mines thousands of PubMed articles to uncover genes linked to your trait or biological process of interest. GREGOR brings together evidence from the published literature in one place.
Genes found in literature often come from model species like Arabidopsis. GREGOR maps them directly to your target organism's genome via NCBI RefSeq orthology — so you work with the exact genes in your species of interest, not just surrogates.
Goes beyond individual genes. Using the candidate genes from the orthology step, GREGOR constructs the Gene Regulatory Network (GRN) of your trait, revealing functional interactions and regulatory relationships between genes. Genes with lower network centrality and connectivity often represent the most promising intervention targets, as they tend to have more specific effects and lower pleiotropy risk.
A prioritized list of candidate genes ranked by integrated evidence from literature mining, orthology mapping, network centrality, and tissue-specific expression patterns. Results are designed for collaborative review, enabling multi-user annotation, validation, and selection — facilitating team-based gene discovery and streamlined editing target prioritization.
Find genes associated with the trait without a predefined editing goal. Useful to understand trait architecture, spot key regulators and generate new hypotheses.
Rank the analysis toward genes best suited to silencing (knockout / knockdown), based on their position in the regulatory network.
Rank the analysis toward genes best suited to overexpression, for traits you want to amplify rather than remove.
Text-mining brings back every gene that appears near your trait, and most are coincidences. MENDEL reads each abstract, keeps only the real gene-trait relationships, and tells you why it discarded the rest.
Expand your genomic workflow with additional resources, from gene exploration to CRISPR target design.
Design and manage sgRNAs for CRISPR knock-out and base-editing experiments. Browse your edited genes by organism or trait and launch new designs from a unified workspace.
Six search modes across multiple plant genomes: gene name, annotation, organism, sequence, regulatory network and tissue expression. Every result opens gene structure, expression profiles, orthologs and key genomic insights.
Browse supported plant genomes with genome-wide metrics, gene counts, structural annotations, and key statistics—all in one place.
Join researchers using GREGOR to accelerate plant trait genomics and candidate gene discovery.
Questions about GREGOR, access requests, or organism support? We’d be glad to hear from you.