chem16S

Chemical metrics for microbial communities

https://github.com/jedick/chem16s

Science Score: 67.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 14 DOI reference(s) in README
  • Academic publication links
    Links to: ncbi.nlm.nih.gov, zenodo.org
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  • Scientific vocabulary similarity
    Low similarity (11.4%) to scientific vocabulary

Keywords

16s-rrna carbon-oxidation-state chemical-metrics genomic-adaptation microbial-communities r
Last synced: 6 months ago · JSON representation ·

Repository

Chemical metrics for microbial communities

Basic Info
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  • Stars: 4
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 7
Topics
16s-rrna carbon-oxidation-state chemical-metrics genomic-adaptation microbial-communities r
Created almost 4 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

CRAN/METACRAN Version DOI R-CMD-check Codecov test coverage <!-- badges: end -->

chem16S generates chemical representations of microbial communities by combining taxonomic abundances of archaea and bacteria with reference sequences for proteins. Chemical metrics for community reference proteomes are used to investigate genomic adaptations to environmental conditions. Potential applications range from human microbiomes to Earth-life coevolution.

Methods

The user provides taxonomic classifications of high-throughput 16S rRNA gene sequences. These are combined with reference proteomes for archaea and bacteria to obtain the amino acid compositions of community reference proteomes. Amino acid compositions used to calculate chemical metrics including carbon oxidation state (ZC) and stoichiometric hydration state (nH2O).

Supported input formats: * phyloseq-class objects created using phyloseq * RDP Classifier output

Supported reference databases:

Details:

  • The taxonomic classifier should be trained on 16S rRNA sequences from GTDB so that taxon names are matched to GTDB reference proteomes available in chem16S. Training files are available for DADA2 and the RDP Classifier.
  • For taxonomic classifications made using the RDP training set (No. 18 07/2020, used in RDP Classifier version 2.13), chem16S includes manual mappings to the NCBI taxonomy described by Dick and Tan (2023).

Example

The Baltic Sea has a salinity gradient from freshwater to marine conditions. Progressively lower nH2O of community reference proteomes along this gradient represent a genomically coded dehydration trend.

Baltic Sea nH2O-Zc plot (example from chem16S::plot_metrics)

PSU stands for practical salinity units. The sequence data analyzed for this plot was taken from Herlemann et al. (2016) and the code to make this plot is available in the help page for chem16S::plot_metrics.

Installation

First install phyloseq from Bioconductor:

if(!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("phyloseq")

Then install the release version of chem16S from CRAN:

install.packages("chem16S")

Or use install_github from remotes or devtools to install the development version of chem16S from GitHub:

if(!require("remotes", quietly = TRUE)) install.packages("remotes") remotes::install_github("jedick/chem16S", build_vignettes = TRUE)

Owner

  • Name: Jeffrey Dick
  • Login: jedick
  • Kind: user
  • Location: Changsha, China
  • Company: Central South University

Theoretical geochemist and developer of CHNOSZ.

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Dick"
  given-names: "Jeffrey M."
  orcid: "https://orcid.org/0000-0002-0687-5890"
title: "chem16S"
doi: 10.5281/zenodo.6793059
url: "https://github.com/jedick/chem16S"
preferred-citation:
  type: article
  authors:
  - family-names: "Dick"
    given-names: "Jeffrey M."
    orcid: "https://orcid.org/0000-0002-0687-5890"
  - family-names: "Kang"
    given-names: "Xun"
  doi: "10.1093/bioinformatics/btad564"
  journal: "Bioinformatics"
  month: 9
  start: btad564
  title: "chem16S: community-level chemical metrics for exploring genomic adaptation to environments"
  issue: 9
  volume: 39
  year: 2023

GitHub Events

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  • Release event: 1
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Last synced: 7 months ago

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Packages

  • Total packages: 1
  • Total downloads:
    • cran 227 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: chem16S

Chemical Metrics for Microbial Communities

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 227 Last month
Rankings
Dependent repos count: 23.8%
Stargazers count: 25.5%
Forks count: 27.8%
Dependent packages count: 28.7%
Average: 37.7%
Downloads: 82.6%
Maintainers (1)
Last synced: 7 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • R >= 3.5.0 depends
  • ggplot2 * imports
  • phyloseq * imports
  • plyr * imports
  • reshape2 * imports
  • rlang * imports
  • ggpmisc * suggests
  • knitr * suggests
  • patchwork * suggests
  • rmarkdown * suggests
  • tinytest * suggests