Get the free spliceR: An R package for classification of alternative splicing
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Splicer: An R package for classification of alternative splicing
and prediction of coding potential from RNA seq data
Kristopher Knudsen, Johannes Wage
5 Dec 20131Contents
1 Introduction
1.1 Alternative
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How to fill out splicer an r package
How to fill out splicer an r package
01
Download and install R package splicer from CRAN using install.packages('splicer')
02
Load the splicer package into your R session using library(splicer)
03
Create a new splicer object using the function splicer()
04
Specify the input data and desired splice junction coordinates using the appropriate arguments of the splicer() function
05
Run the splicing analysis using the splice() function of the splicer package
06
Access the results of the splicing analysis using the appropriate functions and methods provided by the splicer package
Who needs splicer an r package?
01
Bioinformaticians and researchers who are interested in analyzing alternative splicing events in RNA-seq data
02
Scientists studying gene expression and regulation
03
Individuals working on projects involving transcriptomics
04
Anyone who wants to analyze and interpret splicing patterns in RNA-seq data using R
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What is splicer an r package?
Splicer is an R package designed for alternative splicing analysis.
Who is required to file splicer an r package?
Researchers and data analysts working on RNA-seq data analysis may use splicer R package.
How to fill out splicer an r package?
To fill out splicer, users need to install the package in R, load the data, and run the desired functions for alternative splicing analysis.
What is the purpose of splicer an r package?
The purpose of splicer R package is to facilitate the analysis of alternative splicing events in RNA-seq data.
What information must be reported on splicer an r package?
Splicer R package can report information such as differentially spliced exons, splice junctions, and splicing factor binding sites.
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