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RTIGER  

HMM-Based Model for Genotyping and Cross-Over Identification
View on CRAN: Click here


Download and install RTIGER package within the R console
Install from CRAN:
install.packages("RTIGER")

Install from Github:
library("remotes")
install_github("cran/RTIGER")

Install by package version:
library("remotes")
install_version("RTIGER", "2.1.0")



Attach the package and use:
library("RTIGER")
Maintained by
Rafael Campos-Martin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-27
Latest Update: 2023-03-29
Description:
Our method integrates information from all sequenced samples, thus avoiding loss of alleles due to low coverage. Moreover, it increases the statistical power to uncover sequencing or alignment errors .
How to cite:
Rafael Campos-Martin (2021). RTIGER: HMM-Based Model for Genotyping and Cross-Over Identification. R package version 2.1.0, https://cran.r-project.org/web/packages/RTIGER. Accessed 28 Jan. 2025.
Previous versions and publish date:
0.99.0 (2021-04-27 10:00), 1.99.0 (2022-03-28 17:40)
Other packages that cited RTIGER R package
View RTIGER citation profile
Other R packages that RTIGER depends, imports, suggests or enhances
Complete documentation for RTIGER
Functions, R codes and Examples using the RTIGER R package
Some associated functions: ATseqlengths . RTIGER . RTIGERDataSet . calcCOnumber . dev . fit . generateObject . myDat . plotCOs . setupJulia . sourceJulia . 
Some associated R codes: RTIGER-Class.R . aux_Fun.R . data.R . developer.R . export2IGV.R . fit.R . globals.R . loadfun.R . mainfun.R . plotCO.R . plotGenotype.R . runningFreqPlot.R . setupJulia.R . state_ratios.R .  Full RTIGER package functions and examples
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