timeomics

Time-Course Multi-Omics data integration

https://github.com/abodein/timeomics

Science Score: 36.0%

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
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.4%) to scientific vocabulary

Keywords

cluster integration multi-omics time-series

Keywords from Contributors

bioconductor-package gene grna-sequence genomics transcriptomics ontology immune-repertoire sequencing proteomics
Last synced: 6 months ago · JSON representation

Repository

Time-Course Multi-Omics data integration

Basic Info
  • Host: GitHub
  • Owner: abodein
  • License: gpl-3.0
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 3.65 MB
Statistics
  • Stars: 24
  • Watchers: 1
  • Forks: 6
  • Open Issues: 0
  • Releases: 0
Topics
cluster integration multi-omics time-series
Created over 6 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog License

README.md

Build Status codecov License: GPL v3

timeOmics

timeOmics is a generic data-driven framework to integrate multi-Omics longitudinal data (A.) measured on the same biological samples and select key temporal features with strong associations within the same sample group.

The main steps of timeOmics are:

  • a pre-processing step (B.) Normalize and filter low-expressed features, except those not varying over time,
  • a modelling step (C.) Capture inter-individual variability in biological/technical replicates and accommodate heterogeneous experimental designs,
  • a clustering step (D.) Group features with the same expression profile over time. Feature selection step can also be used to identify a signature per cluster,
  • a post-hoc validation step (E.) Ensure clustering quality.

timeOmics can be applied on both single-Omic or multi-Omics experimental design.

If you came to this page thanks to our article and you wish to access its example scripts please follow this link .

Installation

Latest GitHub Version

Install the devtools package in R, then load it and install the latest stable version of timeOmics from GitHub

```r

install devtools if not installed

if (!requireNamespace("devtools", quietly = TRUE)) install.packages("devtools")

install timeOmics

devtools::install_github("abodein/timeOmics") ```

Citing

Bodein A, Chapleur O, Droit A and Lê Cao K-A (2019) A Generic Multivariate Framework for the Integration of Microbiome Longitudinal Studies With Other Data Types. Front. Genet. 10:963. doi:10.3389/fgene.2019.00963

Maintainer

Antoine Bodein (antoine.bodein.1@ulaval.ca)

Bugs/Feature requests

If you have any bugs or feature requests, let us know. Thanks!

Owner

  • Name: Antoine Bodein
  • Login: abodein
  • Kind: user
  • Location: Québec

GitHub Events

Total
Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 126
  • Total Committers: 4
  • Avg Commits per committer: 31.5
  • Development Distribution Score (DDS): 0.119
Past Year
  • Commits: 5
  • Committers: 2
  • Avg Commits per committer: 2.5
  • Development Distribution Score (DDS): 0.4
Top Committers
Name Email Commits
AB LabDesk b****e@g****m 111
Nitesh Turaga n****a@g****m 10
Antoine Bodein a****n 3
J Wokaty j****y@s****u 2
Committer Domains (Top 20 + Academic)

Dependencies

DESCRIPTION cran
  • R >= 4.0 depends
  • mixOmics * depends
  • dplyr * imports
  • ggplot2 * imports
  • ggrepel * imports
  • lmtest * imports
  • magrittr * imports
  • plyr * imports
  • purrr * imports
  • stringr * imports
  • tibble * imports
  • tidyr * imports
  • BiocStyle * suggests
  • gplots * suggests
  • igraph * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • snow * suggests
  • testthat * suggests
  • tidyverse * suggests