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About Gregor

Version 3.0

What is GREGOR?

GREGOR is an AI-assisted platform for plant trait genomics. It provides an integrated pipeline that takes researchers from scientific literature all the way to a ranked list of candidate genes in their organism of interest — supporting both gene editing target selection and broader biological process exploration.

GREGOR is designed for plant biologists, genomic selection researchers, and crop developers working with model and non-model plant species. It integrates text mining, orthology mapping, gene regulatory network analysis, and genomic annotation into a single collaborative environment.

Open the User Manual

Trait Design Pipeline

The Trait Design module guides users through a linear, AI-assisted workflow that converts a description of a trait or biological process into a prioritized list of candidate genes. It supports two complementary research objectives:

Gene Selection for Trait Editing

Identify high-confidence candidate genes associated with a specific trait in your plant of interest. Prioritize editing targets backed by literature evidence, orthology, and network connectivity.

Gene Discovery

Explore genes associated with a biological process or set of terms — without a predefined editing goal. Useful for understanding trait architecture, identifying key regulators, and hypothesis generation.

Text Mining
Orthology
GRN
Candidate Genes
Text Mining

Text Mining — Mining scientific literature

Automatically mines thousands of PubMed articles to identify genes associated with your trait or biological process of interest. GREGOR surfaces the evidence from published research.

Orthology

Orthology — From literature to your organism

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.

GRN

GRN — The regulatory network of your trait

GREGOR constructs the Gene Regulatory Network (GRN) of your trait, revealing functional interactions and regulatory relationships between genes. Genes with lower network centrality often represent the most promising intervention targets, with more specific effects and lower pleiotropy risk.

Candidate Genes

Candidate Genes — Ranked and ready to act

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.

Explore Genes

GREGOR provides four search modes to explore plant genomic data across multiple organisms and assemblies:

Search by Name / ID

Find genes by their identifier or name across all supported organisms and assemblies. Optionally extend the search to gene descriptions for broader results.

Deep Learning

Search by Annotation

The most powerful search mode in GREGOR. Annotations are generated by a proprietary deep learning model, enabling accurate functional annotation across all supported organisms — including non-model species that lack well-curated reference annotations.

Unlike databases that rely on annotation transfer from model organisms like Arabidopsis thaliana, GREGOR's annotations are computed directly for each genome, ensuring reliability even for newly assembled or understudied species.

Supported annotation vocabularies:

Gene Ontology (GO) KEGG InterPro Plant Ontology (PO)

Search by Organism

Browse all genes within a specific plant species or assembly. Explore genomic diversity and access the complete gene catalog for any supported organism.

Search by Sequence (BLAST)

Submit an amino acid or nucleotide sequence and identify matching genes across the full GREGOR database or within a specific organism using BLAST-based alignment. Ideal for identifying genes from experimental data or cross-species comparisons.

CRISPR Design & Base Editing

From the gene information panel in Explore Genes, researchers can access integrated tools for precision genome editing design:

  • sgRNA design — generate and evaluate CRISPR-Cas guide RNAs targeting the gene of interest, with off-target analysis across the genome.
  • Base editing — design base editing windows and predict editable positions within the target gene for precise single-base modifications without double-strand breaks.

Access CRISPR tools by searching for your gene of interest in Explore Genes and opening the gene information panel. Go to Explore Genes →

Supported Organisms

GREGOR currently supports the following plant species and assemblies:

Arabidopsis thaliana Tomato Raspberry Orange

Need a different organism? Contact us at gregor@meristem.bio to discuss adding support for your species of interest.

The Team

Bernardo Pollak
CEO
Bernardo Pollak
Pablo Garcés
CBO
Pablo Garcés
Leandro Murgas
Bioinformatics & Software Engineer
Leandro Murgas
Cristian Yañez
Bioinformatics & Software Engineer
Cristian Yañez

How to Cite

If you use GREGOR in your research, please cite:

GREGOR v3. Meristem.bio. https://gregor.meristem.bio

Contact

For questions, access requests, or collaboration inquiries:

gregor@meristem.bio  ·  meristem.bio