Abstract

BackgroundThe use of microarrays and RNA-seq technologies is ubiquitous for transcriptome analyses in modern biology. With proper analysis tools, the differential gene expression analysis process can be significantly accelerated. Many open-source programs provide cutting-edge techniques, but these often require programming skills and lack intuitive and interactive or graphical user interfaces. To avoid bottlenecks impeding seamless analysis processing, we have developed an Interactive Gene Expression Analysis Kit, we term iGEAK, focusing on usability and interactivity. iGEAK is designed to be a simple, intuitive, light-weight that contrasts with heavy-duty programs.ResultsiGEAK is an R/Shiny-based client-side desktop application, providing an interactive gene expression data analysis pipeline for microarray and RNA-seq data. Gene expression data can be intuitively explored using a seamless analysis pipeline consisting of sample selection, differentially expressed gene prediction, protein-protein interaction, and gene set enrichment analyses. For each analysis step, users can easily alter parameters to mine more relevant biological information.ConclusioniGEAK is the outcome of close collaboration with wet-bench biologists who are eager to easily explore, mine, and analyze new or public microarray and RNA-seq data. We designed iGEAK as a gene expression analysis pipeline tool to provide essential analysis steps and a user-friendly interactive graphical user interface. iGEAK enables users without programing knowledge to comfortably perform differential gene expression predictions and downstream analyses. iGEAK packages, manuals, tutorials, sample datasets are available at the iGEAK project homepage (https://sites.google.com/view/iGEAK).

Highlights

  • The use of microarrays and RNA-seq technologies is ubiquitous for transcriptome analyses in modern biology

  • We have developed an R/ Shiny-based Interactive Gene Expression Analysis Kit, focusing on usability and interactivity. iGEAK is designed to be a simple, clean, light-weight open-source solution that contrasts with complicated and heavy analysis programs

  • Design concept iGEAK is the outcome of close collaboration with wet-bench biologists who are eager to explore, mine, and analyze unpublished or public microarray and RNA-seq data. iGEAK was originally designed to find a best solution for balancing between usability and flexibility, and as a portable gene expression analysis pipeline tool providing essential analysis steps and a user-friendly interactive graphical user interfaces (GUI)

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Summary

Introduction

The use of microarrays and RNA-seq technologies is ubiquitous for transcriptome analyses in modern biology. Many open-source programs provide cutting-edge techniques, but these often require programming skills and lack intuitive and interactive or graphical user interfaces. Open-source programs are free and often provide cutting-edge data analysis techniques, but often require a certain level of programming skills. R/ Bioconductor project (https://www.bioconductor.org) provides invaluable open-source gene expression and downstream analysis tools/databases for both computational and experimental biologists but provides no or poor graphical user interfaces (GUI) to make analysis pipelines interactive and intuitive. This causes bottlenecks impeding seamless analyses in many biology labs.

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