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OrthOmics

imported

software/orthomics

Collection of scripts for gene age sorting and multi-omics data mining and analysis

Machine-generated from the listed sources and not yet reviewed by a human.

OrthOmics project image
GitHub preview card for SysBioChalmers/OrthOmics. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
SysBioChalmers
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
data-integration · data-visualization · de-analysis · orthology · proteomics · rnaseq
Regulatory
unknown
built by · 6

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • orthofisherorthology

    a broadly applicable tool for automated gene identification and retrieval

  • orthosnaporthology

    a tree splitting and pruning algorithm for retrieving single-copy orthologs from gene family trees

  • DAtestproteomics · rnaseq

    Compare different differential abundance and expression methods

  • training-materialproteomics · rnaseq

    A collection of Galaxy-related training material

  • cosmosRdata-integration · proteomics

    COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.

  • Dashboarddata-integration · proteomics

    MOMSI Standard Landscape Review Curation Workflow & Multi-Omics Dashboard

sources
  1. api.github.com/repos/SysBioChalmers/OrthOmics
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2020-09-17, 8 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 →

machine-readable

/v1/entries/41.json→ .entries["orthomics"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.