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q2-qemistree

imported

therapeutics/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.

record
Category
Therapeutics
Subcategory
unknown
License
BSD-2-Clause(osi)
Status
dormant
Maturity
deployed
Organization
biocore
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cheminformatics · fragmentation-trees · metabolomics · microbiome · phylogenetics
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.

  • 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)

  • nmdc-schemametabolomics · microbiome

    National Microbiome Data Collaborative (NMDC) unified data model

  • biosynfonicheminformatics · metabolomics

    a *biosynformatic* fingerprint to explore natural product distance and diversity

  • chromConvertercheminformatics · metabolomics

    Parsers for chromatography data in R (HPLC-DAD/UV, GC-FID, MS)

  • dada2microbiome

    Accurate sample inference from amplicon data with single nucleotide resolution

  • DRAMmicrobiome

    Distilled and Refined Annotation of Metabolism: A tool for the annotation and curation of function for microbial and viral genomes

sources
  1. api.github.com/repos/biocore/q2-qemistree
    retrieved 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 →

machine-readable

/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.