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Rvtests

1,854 bytes removed, 22:57, 13 January 2015
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<!-- markdown-toc start - Don't edit this section. Run M-x markdown-toc/generate-toc again --> '''Table of Contents''' * [[#introduction|Introduction]]<br />* [[#download|Download]]<br />* [[#quick-tutorial|Quick Tutorial]]** [[#single-variant-tests|Single variant tests]]<br />** [[#groupwise-tests|Groupwise tests]]<br />** [[#related-individual-tests|Related individual tests]]<br />** [[#meta-analysis-tests|Meta-analysis tests]]*** [[#dominant-models-and-recessive-models|Dominant models and recessive models]]<br />* [[#input-files|Input files]]** [[#genotype-file-vcf|Genotype file (VCF)]]<br />** Updated: January 2015; latest documentation can always be found at: [[#phenotype-file|Phenotype file]]<br http:/>** [[#covariate-file|Covariate file]]<br />** [[#trait-transformation|Trait transformation]]<br />* [[#models|Models]]** [[#single-variant-tests|Single variant tests]]<br />** [[#burden-tests|Burden tests]]<br />** [[#variable-threshold-models|Variable threshold models]]<br />** [[#kernel-models|Kernel models]]<br />** [[#meta-analysis-models|Meta-analysis models]]<br />** [[#utility-models|Utility models]]<br />* [[#association-test-options|Association test options]]** [[#sample-inclusionexclusion|Sample inclusion/exclusion]]<br />** [[#variant-site-filters|Variant site filters]]<br />** [[#genotype-filters|Genotype filters]]<br />** [[#handle-missing-genotypes-and-phenotypes|Handle missing genotypes and phenotypes]]<br />** [[#specify-groups-eg-burden-unit|Specify groups (ezhanxw.github.g burden unit)]]<br io/>* [[#sex-chromosome-analysis|Sex chromosome analysis]]<br />* [[#kinship-generation|Kinship generation]]<br rvtests/>* [[#frequently-asked-questions-faq|Frequently Asked Questions (FAQ)]]<br />* [[#feedbackcontact|Feedback/Contact]] <!-- markdown-toc end -->  [httpshttp://travis-cizhanxw.github.org/zhanxwio/rvtests [[Image:https://travis-ci.org/zhanxw/rvtests.png?branch=master|Build Status]](Updated: Janurary 2015)'''
= Introduction =
Rvtests is a collaborative effort by Youna Hu, Bingshan Li, Dajiang Liu.
 
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