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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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3' End Sequencing Library Preparation with A-seq2
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The START App: a web-based RNAseq analysis and visualization resource.

Jonathan W Nelson1, Jiri Sklenar1, Anthony P Barnes2

  • 1The Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA.

Bioinformatics (Oxford, England)
|February 8, 2017
PubMed
Summary
This summary is machine-generated.

Researchers can now easily analyze and visualize gene expression data with the START App. This tool simplifies complex RNA sequencing (RNAseq) results for better interpretation and collaboration.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • RNA sequencing (RNAseq) is a powerful method for quantifying gene expression.
  • Analyzing large RNAseq datasets presents significant visualization and interpretation challenges.
  • Intuitive data interfaces are crucial for researchers working with gene expression data.

Purpose of the Study:

  • To develop an accessible tool for analyzing and visualizing RNA sequencing data.
  • To address the challenges of interpreting large-scale gene expression datasets.
  • To facilitate data sharing and collaboration among researchers.

Main Methods:

  • The START (Shiny Transcriptome Analysis Resource Tool) App was designed using R.
  • The application can be run locally or accessed as a web-based environment.
  • Source code is available via GitHub under GPLv3 license.

Main Results:

  • The START App provides a flexible platform for RNAseq data analysis.
  • It enables researchers to upload, analyze, and visualize gene expression patterns.
  • The tool supports both local installation and web-based access for user convenience.

Conclusions:

  • The START App offers a user-friendly solution for RNAseq data interpretation.
  • Its flexible deployment options enhance accessibility for the research community.
  • This tool aids in the effective visualization and sharing of gene expression data.