decontam

Simple statistical identification and removal of contaminants in marker-gene and metagenomics sequencing data

https://github.com/benjjneb/decontam

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    1 of 12 committers (8.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.5%) to scientific vocabulary

Keywords

amplicon bioinformatics contamination metabarcoding metagenomics microbiome

Keywords from Contributors

bioconductor-package open-science single-cell-rna-seq human-cell-atlas pathway-analysis similarity similarity-measurement mirror microarray hdf5
Last synced: 6 months ago · JSON representation

Repository

Simple statistical identification and removal of contaminants in marker-gene and metagenomics sequencing data

Basic Info
Statistics
  • Stars: 162
  • Watchers: 11
  • Forks: 27
  • Open Issues: 99
  • Releases: 2
Topics
amplicon bioinformatics contamination metabarcoding metagenomics microbiome
Created almost 9 years ago · Last pushed almost 3 years ago
Metadata Files
Readme

README.md

Documentation

An introductory vignette demonstrating how to use the decontam package to identify contaminants.

An extensive investigation of contamination in an oral mucosal dataset, that includes evaluation of deontam results.

The manuscript introducing decontam with benchmarking demonstrating how decontam-inating your data removes reagent sequences, improves accuracy, reduces batch effects, and prevents false-positive associations.

More documentation available through the R help interface (e.g. ?isContaminant) and at the decontam web site.

Installation

The decontam R package is most easily installed from the Bioconductor repository. To install the most recent version of the decontam package, start R (version "3.6") and enter:

```S if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager")

BiocManager::install("decontam") ```

See the Bioconductor documentation for decontam for additional information.

The decontam R package is also available as a source package through github. Installation requires the ability to compile R packages. This means that R and the R tool-chain must be installed, which requires the Xcode command-line tools on Mac and Rtools on Windows.

The easiest source installation method uses the devtools package:

S library(devtools) devtools::install_github("benjjneb/decontam")

Other Resources

Bugs and difficulties in using decontam are welcome on the issue tracker.

Planned feature improvements are also publicly catalogued at on the "Issues" page for decontam: https://github.com/benjjneb/decontam/issues

Owner

  • Name: Benjamin Callahan
  • Login: benjjneb
  • Kind: user
  • Location: Raleigh, NC
  • Company: NC State University

Physics -> Evolution -> Microbiome -> Bioinformatics

GitHub Events

Total
  • Issues event: 14
  • Watch event: 12
  • Issue comment event: 34
  • Pull request event: 2
  • Fork event: 2
Last Year
  • Issues event: 14
  • Watch event: 12
  • Issue comment event: 34
  • Pull request event: 2
  • Fork event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 70
  • Total Committers: 12
  • Avg Commits per committer: 5.833
  • Development Distribution Score (DDS): 0.514
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
bcallah b****h@P****l 34
Benjamin Callahan b****n@g****m 14
Nitesh Turaga n****a@g****m 10
vobencha v****n@r****g 2
vobencha v****a@g****m 2
Felix Ernst f****t@o****m 2
Kayla-Morrell k****l@r****g 1
nbokulich n****h@g****m 1
Michael McLaren m****2@g****m 1
bcallah b****h@p****u 1
dave1618 n****8@g****m 1
Darío Hereñú m****a@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 21
  • Total pull requests: 2
  • Average time to close issues: 6 months
  • Average time to close pull requests: 6 months
  • Total issue authors: 21
  • Total pull request authors: 2
  • Average comments per issue: 0.33
  • Average comments per pull request: 0.5
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 12
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 months
  • Issue authors: 12
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • yd-x (1)
  • CamillePhilippeSCI (1)
  • shwetha141 (1)
  • hjarnek (1)
  • anya-mueller (1)
  • Skirnir3141 (1)
  • mya-darsan (1)
  • OluchiAroh (1)
  • JayalalKJ (1)
  • kx11jkjk (1)
  • zztin (1)
  • sihanbu (1)
  • nadeaujay (1)
  • Ivy-ops (1)
  • Kudzai-H (1)
Pull Request Authors
  • TuomasBorman (1)
  • Zarzarn95 (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

DESCRIPTION cran
  • R >= 3.4.1 depends
  • methods >= 3.4.1 depends
  • ggplot2 >= 2.1.0 imports
  • reshape2 >= 1.4.1 imports
  • stats * imports
  • BiocStyle * suggests
  • knitr * suggests
  • phyloseq * suggests
  • rmarkdown * suggests