OmicsQ
importedsoftware/omicsq
OmicsQ is a Shiny-based web application designed for preprocessing and quantitative analysis of Omics data. It streamlines the preparation of data for subsequent analysis using specialized tools…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- computproteomics
- Country
- unknown
- Repository
- github.com/computproteomics/OmicsQ
- Documentation
- unknown
- Tags
- correlation · csv · dsv · expression-data · expression-profile-clustering · molecular-interactions-pathways-and-networks · multiple-testing-correction · omics · over-representation-data · pdf · plot · principal-component-visualisation · proteomics · quantification · standardisation-and-normalisation · statistical-calculation · statistical-estimate-score · statistics-and-probability · workflows · xlsx
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Deep_CLEMcorrelation
Automated correlation for correlative light and electron microscopy (CLEM)
- alphaquantproteomics · quantification
An open-source Python package for accurate and sensitive peptide and protein quantification.
- directlfqproteomics · quantification
Fast and accurate label-free quantification for small and very large numbers of proteomes
- FlashLFQproteomics · quantification
Ultra-fast label-free quantification algorithm for mass-spectrometry proteomics
- ibaqpyproteomics · quantification
Absolute quantification package based on quantms.io
- protVizproteomics · quantification
Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
- api.github.com/repos/computproteomics/OmicsQretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-03-19, 5 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/29.json→ .entries["omicsq"]
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