NeuroPGx
importedsoftware/neuropgx
A clinical decision-support system to identify pharmacogenomics profiles based on subjects genotype of five core genes. The paper has been published in the Journal of Personalized Medicine.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Andreater/NeuroPGx
- Documentation
- unknown
- Tags
- bioinformatics · clinical-decision-support · genomics · genotyping-by-sequencing · metabolomics · neuroscience · pharmacogenomics
- 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.
- PharMepharmacogenomics
💊🧬 PharMe - Pharmaceutical insights tailored to your personal genome
- Reads2Mapgenotyping-by-sequencing
A collection of WDL bioinformatic workflows to benchmark markers coming from different pipelines using linkage map quality as a diagnosis.
- POMAShinybioinformatics · metabolomics
Web-based Workflow for Metabolomics and Proteomics Data Analysis
- pyMultiOmicsbioinformatics · metabolomics
Python toolbox for multi-omics data mapping and analysis
- nmdc-schemagenomics · metabolomics
National Microbiome Data Collaborative (NMDC) unified data model
- biosynfonibioinformatics · metabolomics
a *biosynformatic* fingerprint to explore natural product distance and diversity
- api.github.com/repos/Andreater/NeuroPGxretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-09-01, 9 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/51.json→ .entries["neuropgx"]
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