tccGUI: Robust differential expression analysis from RNA-seq data

★ ★ ★ ★ ★ | 1 reviews | 11 users

Last accessed Nov 17, 2024
Author Su Wei Front-end Engineer

About the app

TCC-GUI is a Shiny-based application for differential expression analysis of RNA-Seq count data. It contains all the major functionalities of the TCC R package, including differential expression pipelines with robust normalization and simulation data generation under various conditions. It also contains (i) tools for exploratory analysis, including a useful score termed average silhouette that measures the degree of separation of compared groups, (ii) visualization tools such as volcano plot and heatmap with hierarchical clustering, and (iii) a reporting tool using R Markdown. By virtue of the Shiny-based GUI framework, users can obtain results simply by mouse navigation. Original publication: TCC-GUI: a Shiny-based application for differential expression analysis of RNA-Seq count data Wei Su, Jianqiang Sun, Kentaro Shimizu and Koji Kadota. BMC Research Notes 2019 12:133

Data Safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.

Rate this App

You must login to submit votes

App Updates and Comments

No application notes or reviews.

Post response or reviews

Other Similar Apps

MSMshiny Build & Visualize multi-state time-to-event models Levi Bilal
NormalityAssessment Interactive Classroom Tool for Testing Normality Visually Chris Casement
shinyNGS Facilitate downstream analysis of RNA-seq data Alanna Weaver
shinyEditor Generate Markdown HTML from MS Word and Excel Text Ayla Navarro
ROGUE RNA-Seq Analysis and Biomarker Discovery with R Alvin Farrel
shinySeq Discover, Analyze, and Interpret RNA-Seq Data Analysis Alanna Weaver
tccGUI Robust differential expression analysis from RNA-seq data Su Wei
START Elegant RNAseq analysis and visualization resource Jessica Minnier
GENAVi Streamline gene expression normalization and analysis Alanna Weaver