q2-qemistree
importedtherapeutics/q2-qemistree
Hierarchical orderings for mass spectrometry data. Canonically pronounced "chemis-tree".
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- BSD-2-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- biocore
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/biocore/q2-qemistree
- Documentation
- unknown
- Tags
- cheminformatics · fragmentation-trees · metabolomics · microbiome · phylogenetics
- 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.
- siriuscheminformatics · fragmentation-trees
SIRIUS is a software for discovering a landscape of de-novo identification of metabolites using tandem mass spectrometry. This repository contains the code of the SIRIUS Software (GUI and CLI)
- MicrobeRXcheminformatics · microbiome
MicrobeRX
- bio-mcpmetabolomics · microbiome
🧬 BioMCP — 生物信息学 MCP 服务器:PubMed/NCBI/BLAST/PDB/UniProt/富集分析,让任意 AI 助手直连生物数据库。Open-source bioinformatics MCP server.
- DAtestmetabolomics · microbiome
Compare different differential abundance and expression methods
- nmdc-schemametabolomics · microbiome
National Microbiome Data Collaborative (NMDC) unified data model
- asb-skill-collectionscheminformatics · metabolomics
Curated, evidence-grounded skill and software-tool collections for scientific AI agents, generated by the AgenticScienceBuilder
- api.github.com/repos/biocore/q2-qemistreeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-04-11, 31 stars, license reported as BSD-2-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/42.json→ .entries["q2-qemistree"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.