<h1class="main_title"> Welcome to JASS v2.1, a web interface for the Joint Analysis of GWAS Summary Statistics</h1>
<h1class="main_title"> Welcome to JASS v2.1</h1>
<h3>a web interface for the Joint Analysis of GWAS Summary Statistics</h3>
<pclass="main_intro">
The JASS web interface allows for a fast derivation of the joint tests of selected genome-wide association study (GWAS) summary statistics. The current version allows to perform two multivariate tests,
<ol><li>an omnibus K degree of freedom test, and </li>
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<br>The online version currently includes XXX publicly available GWAS classified into XX biological categories. All GWAS have been pre-processed using the <ahref="https://gitlab.pasteur.fr/statistical-genetics/jass_suite_pipeline">JASS pre-processing pipeline</a> and imputation of missing statistics has been conducted using the <ahref="https://gitlab.pasteur.fr/statistical-genetics/raiss">RAISS software</a>, resulting in a total of <b>{{initmeta.nb_snps}} SNPs</b>.
<h4>When using JASS in publication, please use the following citation:</h4>
<b><iclass="fas fa-quote-left"></i>JASS: command line and web interface for the joint analysis of GWAS results.</b><i>NAR Genom Bioinform</i> 2020 Mar;2(1):lqaa003.
doi: 10.1093/nargab/lqaa003. Epub 2020 Jan 24. <ahref="https://academic.oup.com/nargab/article/2/1/lqaa003/5715214"target="_blank">https://academic.oup.com/nargab/article/2/1/lqaa003/5715214</a><br>
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<h4>When refereeing to the imputation of summary statistics, please use the following citation:</h4>
<b>RAISS: robust and accurate imputation from summary statistics.</b><i>Bioinformatics</i> 2019 Nov 1;35(22):4837-4839.
<h4>When refereeing to the proof of concept, please use the following citation:</h4>
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