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MASSKIRAnalyzer can be used for analysis of data from the commercial kits and kits developed by Kazusa DNA Research Institute.

MASSKIRAnalyzer functions:

Performs basic quality control procedures.

Determines the total number of KIR genes present in the panel analyzed.

Determines the gene content diversity of each panel.

Determines the presence of “outlier” samples (samples that deviate from the expected distribution).

Determines the sample quality based on the typing profile.

Calculates the KIR haplotype and allele frequencies of the sample.

Allows you to perform advanced analysis for further interpretation of the results.

Features a comprehensive comparison report which demonstrates the performance of the kit analyzed.

Additional Information:

Available as both a stand-alone application and a plugin in our MIRCOGEN software suite.

Version History:

Version: 1.1

Release Date: May 19, 2017

Latest Release: 1.1.0

R2-version: 1.0

Added Analysis Option: Mix Mode Allows the user to independently choose the number of KIR genes to be analyzed

Version: 1.0

Release Date: November 2, 2014

Added Analysis Option: Mix Mode Allows the user to independently choose the number of KIR genes to be analyzed

Version: 1.0.0

Release Date: November 2, 2014

Latest Release: 1.0.0

It takes in consideration the genotype profile, samples quality, and its gene content diversity.
It also generates a complete report with the comparison between the expected and analyzed data.

Genome Diversity:

Quantification of the genotype diversity is a measure of how close or far the overall sample is from the expected distribution. In other words, it indicates how far the average sample is from the expected pattern. Each population is assigned a Genome Diversity Index (GDI) value. The expected pattern of a genotype is based on the allelic distribution of the population as measured by Kazusa’s KIR Gene Typing Service. Therefore, an actual genotype pattern that is different from the expected pattern may indicate a difference in the observed genotype pattern. Any deviations from the expected pattern are referred to as “outliers” and are excluded from the calculation of the sample’s GDI.

(GDI value will

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