mosca

Meta-Omics Software for Community Analysis

https://github.com/iquasere/mosca

Science Score: 26.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.3%) to scientific vocabulary

Keywords

community-analysis metagenomics metaproteomics metatranscriptomics
Last synced: 6 months ago · JSON representation

Repository

Meta-Omics Software for Community Analysis

Basic Info
  • Host: GitHub
  • Owner: iquasere
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 441 MB
Statistics
  • Stars: 35
  • Watchers: 3
  • Forks: 4
  • Open Issues: 1
  • Releases: 25
Topics
community-analysis metagenomics metaproteomics metatranscriptomics
Created over 8 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Meta-Omics Software for Community Analysis

Logo

Development CI GitHub Release Release Data Bioconda Release

Welcome to the Meta-Omics Software for Community Analysis (MOSCA) Pipeline!

This pipeline is a powerful tool for analyzing and interpreting meta-omics data, including metagenomics, metatranscriptomics, and metaproteomics. It integrates a variety of state-of-the-art algorithms and visualizations, allowing you to easily and efficiently analyze your data.

To get started, check out MOSca's GUI TO perform meta-omics analyses (MOSGUITO):

https://iquasere.github.io/MOSGUITO

For more information on how to use MOSCA and its features, check out our wiki:

https://github.com/iquasere/MOSCA/wiki

If you use MOSCA in your research, please cite our publication:

Sequeira, Joo Carlos, et al. "MOSCA: an automated pipeline for integrated metagenomics and metatranscriptomics data analysis." International Conference on Practical Applications of Computational Biology & Bioinformatics. Springer, Cham, 2018.

We hope you find MOSCA helpful in your research endeavors!

Owner

  • Name: João Sequeira
  • Login: iquasere
  • Kind: user
  • Location: Portugal
  • Company: University of Minho

PhD student | Universidade do Minho Uncovering the role of conductive nanomaterials in anaerobic digestion

GitHub Events

Total
  • Push event: 4
  • Fork event: 1
Last Year
  • Push event: 4
  • Fork event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 479
  • Total Committers: 3
  • Avg Commits per committer: 159.667
  • Development Distribution Score (DDS): 0.029
Past Year
  • Commits: 108
  • Committers: 1
  • Avg Commits per committer: 108.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
iquasere m****a@g****m 465
s****a@A****n 12
TiagoManuelOliveira 4****a 2
Committer Domains (Top 20 + Academic)

Dependencies

.github/workflows/main.yml actions
  • actions/checkout v2 composite
  • actions/download-artifact v2 composite
  • actions/upload-artifact v2 composite
  • docker/build-push-action v2 composite
  • docker/setup-buildx-action v2 composite
Dockerfile docker
  • continuumio/miniconda3 latest build