pyMultiOmics
importedsoftware/pymultiomics
Python toolbox for multi-omics data mapping and analysis
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- glasgowcompbio
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/glasgowcompbio/pyMultiOmics
- Documentation
- unknown
- Tags
- bioinformatics · data-integration · machine-learning · metabolomics · multi-omics · proteomics · transcriptomics
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- bacnetbioinformatics · multi-omics · proteomics · transcriptomics
BACNET is a Java based platform to develop website for multi-omics analysis
- cosmosRdata-integration · proteomics · transcriptomics
COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.
- POMAShinybioinformatics · metabolomics · proteomics
Web-based Workflow for Metabolomics and Proteomics Data Analysis
- mofaflexbioinformatics · multi-omics
factor models for omics data
- OmicsClawbioinformatics · multi-omics
Conversational & memory-enabled AI research partner for multi-omics analysis. CLI + Desktop App (installers in Releases). From biological idea to full research paper.
- GECKOdata-integration · proteomics
Toolbox for including enzyme constraints on a genome-scale model.
- api.github.com/repos/glasgowcompbio/pyMultiOmicsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-04-13, 28 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/4.json→ .entries["pymultiomics"]
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