rfael0cm/RTIGER: HMM-Based Model for Genotyping and Cross-Over Identification
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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | GenomeAnnotation HiddenMarkovModel Sequencing |
| Maintainer | |
| License | GPL (>= 2) |
| Version | 1.99.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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