ArticleBMC genomics2019
iGEAK: an interactive gene expression analysis kit for seamless workflow using the R/shiny platform.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
34 citing papers in PubMed.
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- Primitive Hepatoblasts Driving Early Liver Development.bioRxiv : the preprint server for biology · 2025Article
- OrthologAL: a Shiny application for quality-aware humanization of non-human pre-clinical high-dimensional gene expression data.Bioinformatics (Oxford, England) · 2025Article
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- NOS2/miR-493-5p Signaling Regulates in the LPS-Induced Inflammatory Response in the RAW264.7 Cells.Biochemical genetics · 2023Article
- En masse organoid phenotyping informs metabolic-associated genetic susceptibility to NASH.Cell · 2022Article
- The Highly Expressed IFIT1 in Nasopharyngeal Carcinoma Enhances Proliferation, Migration, and Invasion of Nasopharyngeal Carcinoma Cells.Molecular biotechnology · 2022Article
- GXP: Analyze and Plot Plant Omics Data in Web Browsers.Plants (Basel, Switzerland) · 2022Article
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- GraphBio: A shiny web app to easily perform popular visualization analysis for omics data.Frontiers in genetics · 2022Article
- LncRNA MAGI2-AS3 acts as a tumor suppressor that attenuates non-small cell lung cancer progression by targeting the miR-629-5p/TXNIP axis.Annals of translational medicine · 2021Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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 ).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.