example_sample_pair_data: This dataset contains the allele information for HLA genes in...

In NCBI-Hackathons/Integrating-HLA-typing-methods-and-RNA-seq: HLA typing clustering and visualization based on specific similarity metrics

Description

This dataset can be used to test the sample_pair_distance function.

Usage

data(example_sample_pair_data)

Format

a tibble object with 10 rows and 4 variables:

• SampleName a character string that represent the name of the sample.

• AllelName a character string that represent the name of the allele (1 or 2).

• GeneName a character string that represent the name of the HLA gene.

• AlleleGroup a character string that represent the section identifying the subtype group.

Value

a tibble object with 10 rows and 4 variables:

• SampleName a character string that represent the name of the sample.

• AllelName a character string that represent the name of the allele (1 or 2).

• GeneName a character string that represent the name of the HLA gene.

• AlleleGroup a character string that represent the section identifying the subtype group.

See Also

• calculateHamming for calculating the Hamming distance metric between all samples

• readHLADataset for extracting HLA typing information for all samples present in a text file

Examples

## Load dataset
data(example_sample_pair_data)

## Computes the Hamming distance for one pair of samples
HLAClustRView:::sample_pair_distance(example_sample_pair_data)

NCBI-Hackathons/Integrating-HLA-typing-methods-and-RNA-seq documentation built on Nov. 23, 2019, 1:57 a.m.