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. 2020 Dec 10;11:610798. doi: 10.3389/fgene.2020.610798

TABLE 1.

A complied list of various resources for supporting FAIR and interactive multi-omics study.

Serial No Tools Purpose Link References (if any)
Popular/Emerging Multi-omics Tools
1 mixOmics A tool with a framework that provides wide range of multivariate statistical methods for exploratory data analysis (EDA). This involves features identification, extraction and selection. http://mixomics.org/ Rohart et al., 2017
2 MOFA A probabilistic multi-omics factor analysis-based framework that involves EDA and data integration. (Unsupervised) https://github.com/bioFAM/MOFA Argelaguet et al., 2018
3 SNF A multi-view network and fusion analysis framework for feature extraction, pairwise similarity, clustering, classification, etc. https://cran.r-project.org/web/packages/SNFtool/index.html Wang et al., 2014
4 miodin A multi-level statistical framework involving vertical and horizontal integration of multi-omics data. https://algoromics.gitlab.io/miodin/ Ulfenborg, 2019
5 Paintomics A web-based systems biology tool for multi-omic integration and visualization across multi-species. www.paintomics.org Hernández-de-Diego et al., 2018
6 3Omics A web-based application for integration and analysis of multi-omics data. https://3omics.cmdm.tw/ Kuo et al., 2013
Data Sharing
1 OmicsDI An aggregated database facilitating the discovery of heterogenous published omics datasets across studies. http://www.omicsdi.org Perez-Riverol et al., 2017
2 Zenodo A general-purpose open-access data, softwares, etc repository that allows user to obtain a citable DOI. https://zenodo.org/ NA
3 OSF An open platform to enable collaboration by registering research projects, materials, data and documentation. https://osf.io/ NA
Code Sharing
1 GitHub A version-controlled code sharing and collaborative platform. https://github.com/ NA
2 BitBucket https://bitbucket.org/ NA
3 GitLab https://about.gitlab.com/ NA
Workflow Sharing
1 Common Workflow Language (CWL) An open standard for describing analysis workflows which makes them portable and scalable across a variety of software and hardware environments. https://www.commonwl.org/ Amstutz et al., 2016
2 Nextflow An enterprise level workflow language for writing scalable and reproducible scientific pipelines. https://www.nextflow.io/ Di Tommaso et al., 2017
3 Snakemake A workflow language for writing scalable and reproducible scientific pipelines. https://snakemake.readthedocs.io/en/stable/ Koster and Rahmann, 2012
Environment Sharing
1 Conda A package manager and computation environment management system. https://docs.conda.io/en/latest/ NA
2 Bioconda A channel for the conda package manager specializing in bioinformatics software. https://bioconda.github.io/ Grüning et al., 2018
3 Docker A container platform that provided OS-level virtualization for providing reproducible computation environment. https://www.docker.com/ NA
4 BioContainers A community-driven project that provides docker based containerized bioinformatics software. https://biocontainers.pro/ da Veiga Leprevost et al., 2017
5 renv A R-package that helps create reproducible environments for R-based projects. https://rstudio.github.io/renv/ NA
Serial No Tools Purpose Link References (if any)
Data Visualization
1 Shiny A framework in R for doing GUI based interactive applications. https://shiny.rstudio.com/ NA
2 Plotly A cross language interactive plot library. https://plotly.com/ NA
3 bokeh A Python library for Interactive data visualization in browser. https://bokeh.org/ NA
4 D3,js A JavaScript library for producing dynamic, interactive data visualizations in web browsers. https://d3js.org/ NA
5 Cytoscape A platform for network data integration, analysis, and visualization. https://cytoscape.org/ NA