Javascript must be enabled to continue!
iRAP - an integrated RNA-seq Analysis Pipeline
View through CrossRef
AbstractRNA-sequencing (RNA-Seq) has become the technology of choice for whole-transcriptome profiling. However, processing the millions of sequence reads generated requires considerable bioinformatics skills and computational resources. At each step of the processing pipeline many tools are available, each with specific advantages and disadvantages. While using a specific combination of tools might be desirable, integrating the different tools can be time consuming, often due to specificities in the formats of input/output files required by the different programs.Here we present iRAP, an integrated RNA-seq analysis pipeline that allows the user to select and apply their preferred combination of existing tools for mapping reads, quantifying expression, testing for differential expression. iRAP also includes multiple tools for gene set enrichment analysis and generates web browsable reports of the results obtained in the different stages of the pipeline. Depending upon the application, iRAP can be used to quantify expression at the gene, exon or transcript level. iRAP is aimed at a broad group of users with basic bioinformatics training and requires little experience with the command line. Despite this, it also provides more advanced users with the ability to customise the options used by their chosen tools.iRAP is available under General Public License 3 (GPLv3) and although it should be portable to any POSIX-compliant operating system, several third party programs only run on Linux. iRAP can be obtained fromhttp://code.google.com/p/irap.
Title: iRAP - an integrated RNA-seq Analysis Pipeline
Description:
AbstractRNA-sequencing (RNA-Seq) has become the technology of choice for whole-transcriptome profiling.
However, processing the millions of sequence reads generated requires considerable bioinformatics skills and computational resources.
At each step of the processing pipeline many tools are available, each with specific advantages and disadvantages.
While using a specific combination of tools might be desirable, integrating the different tools can be time consuming, often due to specificities in the formats of input/output files required by the different programs.
Here we present iRAP, an integrated RNA-seq analysis pipeline that allows the user to select and apply their preferred combination of existing tools for mapping reads, quantifying expression, testing for differential expression.
iRAP also includes multiple tools for gene set enrichment analysis and generates web browsable reports of the results obtained in the different stages of the pipeline.
Depending upon the application, iRAP can be used to quantify expression at the gene, exon or transcript level.
iRAP is aimed at a broad group of users with basic bioinformatics training and requires little experience with the command line.
Despite this, it also provides more advanced users with the ability to customise the options used by their chosen tools.
iRAP is available under General Public License 3 (GPLv3) and although it should be portable to any POSIX-compliant operating system, several third party programs only run on Linux.
iRAP can be obtained fromhttp://code.
google.
com/p/irap.
Related Results
MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing v1
MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing v1
Human tissues comprise trillions of cells that populate a complex space of molecular phenotypes and functions and that vary in abundance by 4–9 orders of magnitude. Relying solely ...
IL-1 receptor antagonist protein production and gene expression in rheumatoid arthritis and osteoarthritis synovium
IL-1 receptor antagonist protein production and gene expression in rheumatoid arthritis and osteoarthritis synovium
Abstract
IL-1 can participate in the perpetuation of arthritis through direct stimulation of synoviocytes and augmentation of matrix degradation. Hence, local produc...
Abstract P1-05-23: Utilities and challenges of RNA-Seq based expression and variant calling in a clinical setting
Abstract P1-05-23: Utilities and challenges of RNA-Seq based expression and variant calling in a clinical setting
Abstract
Introduction
Variant calling based on DNA samples has been the gold standard of clinical testing since the advent of Sanger sequencing. The u...
Detection of Multiple Types of Cancer Driver Mutations Using Targeted RNA Sequencing in NSCLC
Detection of Multiple Types of Cancer Driver Mutations Using Targeted RNA Sequencing in NSCLC
ABSTRACTCurrently, DNA and RNA are used separately to capture different types of gene mutations. DNA is commonly used for the detection of SNVs, indels and CNVs; RNA is used for an...
Abstract 2323: Deciphering RNA degradation: Insights from a comparative analysis of paired fresh frozen/FFPE total RNA-seq
Abstract 2323: Deciphering RNA degradation: Insights from a comparative analysis of paired fresh frozen/FFPE total RNA-seq
Abstract
Background: Fresh frozen (FF) and formalin-fixed paraffin-embedded (FFPE) samples are primary resources for archival tissues in cancer studies. Despite the ...
Installation Analysis of Matterhorn Pipeline Replacement
Installation Analysis of Matterhorn Pipeline Replacement
Abstract
The paper describes the installation analysis for the Matterhorn field pipeline replacement, located in water depths between 800-ft to 1200-ft in the Gul...
Generating Synthetic Single Cell Data from Bulk RNA-seq Using a Pretrained Variational Autoencoder
Generating Synthetic Single Cell Data from Bulk RNA-seq Using a Pretrained Variational Autoencoder
AbstractSingle cell RNA sequencing (scRNA-seq) is a powerful approach which generates genome-wide gene expression profiles at single cell resolution. Among its many applications, i...
Genetic Diversity Assessment of Portuguese Cultivated Vicia faba L. through IRAP Markers
Genetic Diversity Assessment of Portuguese Cultivated Vicia faba L. through IRAP Markers
Faba bean have been grown in Portugal for a long time and locally adapted populations are still maintained on farm. The genetic diversity of four Portuguese faba bean populations t...

