Finding mechanistic
clues in data

Disease and trait signature gene discovery, multi-omics integration, diagnostic, prognostic and subtyping models, and independent cohort validation.

One complete line of research.

Ordered as the first five items of the catalogue's "disease/trait signature genes & mechanisms"; each step can also stand alone.

  1. Screen signature genes

    Combine transcriptome, proteome and metabolome data to find genes tied to a disease or trait.

    Related services
  2. Build models

    Diagnostic, prognostic or subtyping models from the signature genes.

    Related services
  3. Resolve mechanisms

    Use single-cell data to see in which cells and processes the signature genes act.

    Related services
  4. Predict drugs

    CMap / LINCS to look for drugs that may reverse the disease expression signature.

    Related services
  5. Validate externally

    Test the conclusions in independent cohorts or experimental data.

    Related services

Public data is a starting point too.

Without new sequencing, data can be downloaded from public databases and reanalysed to find new questions.

See public data mining services
  • SRARaw sequencing data download and reanalysis
  • GEOArray and sequencing expression data mining
  • TCGAPan-cancer multi-omics data mining
  • GTExNormal-tissue expression data mining
  • ENCODEEpigenomic data integration
  • GEO scRNA-seqPublic single-cell data mining

Databases and platforms that can be built

15 kinds of topic databases and online platforms in the catalogue. Select any one to start a research brief.

The full research support catalogue

Specialized databases, disease/trait mechanisms and single-cell integration: 53 services in total.

Browse Research Support Services

Your next discovery
may already be in your data.

Tell us about your research and your data, and find the next step together.

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