STARTapp

Transcriptome viewer

An interactive web-based application for analyzing and visualizing transcriptome data.

The START App: R Shiny Transcriptome Analysis Resource Tool

GitHub

89 stars
7 watching
41 forks
Language: HTML
last commit: about 4 years ago
Linked from 1 awesome list

bioinformaticsgenome-biologyrrna-seqshinyshiny-appstranscriptomevisualization

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
5c077/expressiondb An R-based application for exploring and visualizing gene expression data 17
biocorecrg/indrop A software pipeline for analyzing single-cell transcriptome data using the DropEST tool. 6
su-informatics-lab/dstg Software implementation of graph-based AI method for decomposing spatial transcriptomics data 34
jminor/raven Experimental viewer application for OpenTimelineIO timelines 5
martaint/intercellar An interactive R/Shiny app for analyzing cell-cell communication from single-cell transcriptomics data 9
eskelandlab/shinyarchruio An R-based web application for visualizing massive single-cell chromatin accessibility data using ArchR 18
joey711/shiny-phyloseq An interactive web application for analyzing microbiome census data 59
qinzhu/pivot An interactive analysis and visualization platform for RNA-Seq data 0
yuifu/millefy Visualizes read coverage of single-cell RNA-seq datasets in genomic contexts to highlight cell-to-cell heterogeneity 27
griffithlab/rnaseq_tutorial An educational tutorial and working demonstration pipeline for RNA-seq analysis on the cloud 1,337
raphael-group/paste2 A software framework for aligning and reconstructing spatial transcriptomics data from non-overlapping samples 29
dmcable/spacexr Software package for cell type identification and differential expression in spatial transcriptomics 312
spunt/bspmview A MATLAB program for visualizing and manipulating fMRI statistical images 53
zji90/sepa A tool for analyzing single-cell RNA-seq data to identify gene expression patterns and perform GO enrichment analysis. 4
qifeidkn/stagate A software framework for learning spatial embeddings from high-dimensional transcriptomics data using an adaptive graph attention auto-encoder 37