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Alternative RNA Splicing

Alternative RNA Splicing

Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...

Alternative RNA Splicing

Alternative RNA Splicing

Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...

RNA Splicing

RNA Splicing

Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...

RNA Splicing

RNA Splicing

Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...

Pre-mRNA Processing: RNA Splicing

Pre-mRNA Processing: RNA Splicing

Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...

RNA-seq

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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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

R and Bioconductor solutions for alternative splicing detection.

¹Department of Medicine, University of Colorado Denver School of Medicine, Denver, CO, USA. tzu.phang@ucdenver.edu

|December 30, 2009

Summary

This review details computational methods for detecting alternative splicing from microarray data. It highlights the use of R and Bioconductor packages for analysis and visualization, integrating the Xmap Genome Browser.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Alternative splicing is a key mechanism for increasing proteomic diversity.
Microarray technology enables the study of gene expression patterns, including alternative splicing events.
Computational analysis is essential for extracting meaningful biological insights from complex microarray data.

Purpose of the Study:

To provide a comprehensive overview of computational approaches for alternative splicing detection using microarray data.
To demonstrate the utility of the R and Bioconductor open-source environment for these analyses.
To showcase the integration of the Xmap Genome Browser into the analysis and annotation workflow.

Main Methods:

Utilizing the R programming language and Bioconductor packages for data analysis.
Implementing normalization, filtering, detection, and visualization steps for microarray data.
Integrating the Xmap Genome Browser for enhanced analysis and annotation.

Main Results:

Demonstration of the integration and application of various Bioconductor packages.
Successful application of computational workflows for alternative splicing detection.
Effective use of the Xmap Genome Browser for visualization and annotation.

Conclusions:

R and Bioconductor offer a powerful and flexible open-source solution for alternative splicing analysis.
Integrating specialized tools like the Xmap Genome Browser improves the analysis and annotation pipeline.
Standardized computational workflows are crucial for reliable detection of alternative splicing events.