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Related Concept Videos

RNA-seq03:21

RNA-seq

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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...

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Related Experiment Video

Updated: May 15, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
10:40

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

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Grape RNA-Seq analysis pipeline environment.

David G Knowles1, Maik Röder, Angelika Merkel

  • 1Bioinformatics and Genomics Group, Centre for Genomic Regulation (CRG) and Universitat Pompeu Fabra (UPF), Dr Aiguader 88, 08003 Barcelona, Spain. david.gonzalez@crg.eu

Bioinformatics (Oxford, England)
|January 19, 2013
PubMed
Summary
This summary is machine-generated.

Grape is a new pipeline for analyzing RNA-Seq data, addressing the need for user-friendly tools to handle massive datasets from next-generation sequencing (NGS) technologies. This bioinformatics solution automates quality control, read alignment, and expression analysis for transcriptome studies.

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Last Updated: May 15, 2026

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Next-generation sequencing (NGS) generates vast amounts of data, necessitating efficient bioinformatics tools.
  • RNA-Sequencing (RNA-Seq) is a powerful application of NGS for transcriptome analysis.
  • A lack of standardized, user-friendly pipelines hinders widespread RNA-Seq adoption.

Purpose of the Study:

  • To present Grape (Grape RNA-Seq Analysis Pipeline Environment), a novel bioinformatics pipeline.
  • To provide an automated and user-friendly solution for RNA-Seq data processing and analysis.
  • To facilitate the adoption of RNA-Seq for transcriptome-wide studies.

Main Methods:

  • Grape processes raw sequencing reads (FASTA/FASTQ) or prealigned reads (SAM/BAM).
  • The pipeline includes quality control, read alignment, gene and transcript expression estimation, and novel transcript identification.
  • It supports various sequencing technologies and can be run on single computers or clusters.

Main Results:

  • Grape offers a comprehensive solution for RNA-Seq data analysis.
  • The pipeline supports diverse input formats and species-specific annotations.
  • Its modular design allows integration of custom tools.

Conclusions:

  • Grape provides a standardized and automated approach to RNA-Seq analysis.
  • This pipeline can overcome current bottlenecks in transcriptome analysis.
  • Grape is available for download, promoting its use in the research community.