Active analysis
Data and methods are being analyzed; results may be exploratory.
A connected research platform
Every result has a trail back to its data.
We build focused research projects with explicit questions, versioned data, runnable notebooks, and white papers that distinguish observed results from predictions and hypotheses. Projects are organized by the biological data they analyze; cross-domain studies can appear in more than one domain.
01 / Omics map
Four connected domains
01
Genomics
Genes, genomes, biosynthetic capacity, variation, and evolutionary context.
02Transcriptomics
RNA-seq, single-cell profiles, perturbations, and context-dependent response.
03Proteomics
Protein function, interaction evidence, target hypotheses, and structural analysis.
04Metabolomics
Compound identity, abundance, chemical profiles, and pathway-level interpretation.
02 / Research portfolio
Research by category
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Research standard
One study. One repository. A reproducible record.
Each research project gets its own terputer-* repository with a project README, environment specification, source and data manifest, executable Jupyter notebook, and versioned white paper. The notebook records the analysis; the paper explains the question, methods, results, limits, and next steps.
Terputer is the shared platform. Individual study repositories keep their data lineage, code, analysis, and claims independently reviewable.
Explore Terputer →03 / Evidence and maturity
Show the stage of every project
Methods development
Workflow or computational method is being built and evaluated.
Evidence synthesis
Existing studies are reviewed; this is distinct from new experimental data.
Planned
Domain is part of the roadmap but has no active, validated study yet.
A repository, notebook, or model output does not by itself establish biological validation. Each paper should state data provenance, software versions, limitations, and evidence class.