START: Elegant RNAseq analysis and visualization resource

★ ☆ ☆ ☆ ☆ | 10 users

Author Jessica Minnier Associate Professor of Biostatistics, OHSU

About the app

START (Shiny Transcriptome Analysis Resource Tool) App Shiny App for analysis and visualization of transcriptome data. The START App is written entirely using the Shiny framework. It is fully cross-platform. The START App has been most extensively tested in a Chrome browser environment. Analyzed data must contain some kind of expression measure for each sample (i.e. counts, normalized intensities, CPMs), and a set of p-values with corresponding fold changes for those p-values. For instance, if you have a p-value for the comparison of group1 vs group2, you can upload the observed fold change or log2(fold change) between group1 vs group2. If you have a more complex design and do not have fold changes readily available, you may upload the test statistics or other similar measures of effect size as placeholders. The fold changes are mainly used in the volcano plots. Original publication: Nelson et al. Bioinformatics . 2017 Feb 1;33(3):447-449.

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

Have you used this app yet? Want to rate it?

You must login to submit votes

App Updates and Comments

No application notes or reviews.

Post response or reviews

Other Similar Apps

tccGUI Robust differential expression analysis from RNA-seq data Su Wei

ggMarginal Add marginal plots to ggplot2 scatterplots Dean Attali

ggquickeda Exploratory Data Analysis of Clinical Dataset Samer Mouksassi

BCOapp Generate BioCompute Objects from Workflows Seven Bridges Genomics

ROGUE RNA-Seq Analysis and Biomarker Discovery with R Alvin Farrel

shinySeq Discover, Analyze, and Interpret RNA-Seq Data Analysis Alanna Weaver

shinyNGS Facilitate downstream analysis of RNA-seq data Alanna Weaver

START Elegant RNAseq analysis and visualization resource Jessica Minnier

GENAVi Streamline gene expression normalization and analysis Alanna Weaver

About ShinyAppStore

About the ShinyAppStore platform

ShinyAppStore is the leading platform for showcasing and utilizing a wide range of Shiny applications developed with the shiny R package. We will be expanding access to allow shiny apps built with Python as well. Users can submit and explore applications across various categories, add verified apps to their personal library, and enjoy easy access. The platform features well-designed apps with detailed descriptions and evaluations by users. All applications on ShinyAppStore are user-owned and open source, with the source code readily available for download on our GitHub page.
More "about" details