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The START App: a web-based RNAseq analysis and visualization resource
Author(s) -
Jonathan W. Nelson,
Jiri Sklenar,
Anthony P. Barnes,
Jessica Minnier
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw624
Subject(s) - upload , computer science , profiling (computer programming) , source code , download , flexibility (engineering) , visualization , snapshot (computer storage) , world wide web , resource (disambiguation) , web application , data mining , database , operating system , computer network , statistics , mathematics
Transcriptional profiling using RNA sequencing (RNAseq) has emerged as a powerful methodology to quantify global gene expression patterns in various contexts from single cells to whole tissues. The tremendous amount of data generated by this profiling technology presents a daunting challenge in terms of effectively visualizing and interpreting results. Convenient and intuitive data interfaces are critical for researchers to easily upload, analyze and visualize their RNAseq data. We designed the START (Shiny Transcriptome Analysis Resource Tool) App with these requirements in mind. This application has the power and flexibility to be resident on a local computer or serve as a web-based environment, enabling easy sharing of data between researchers and collaborators.

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