Commit 00c5166d authored by Rachel's avatar Rachel
Browse files

Update tiny stuffs

parent 246d16e0
......@@ -60,6 +60,16 @@
h2 {
font-family: 'PlayfairDisplayBld';
font-size: 24px;
}
h3 {
text-align: center;
font-size: 28px;
}
h4 {
font-size: 22px;
}
/* WEBSITE HEADER */
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<template>
<div>
<h1 class="main_title"> Welcome to JASS v2.1, a web interface for the Joint Analysis of GWAS Summary Statistics</h1>
<h1 class="main_title"> Welcome to JASS v2.1</h1>
<h3>a web interface for the Joint Analysis of GWAS Summary Statistics</h3>
<p class="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>
......@@ -10,7 +11,21 @@
<br>
<br>The online version currently includes XXX publicly available GWAS classified into XX biological categories. All GWAS have been pre-processed using the <a href="https://gitlab.pasteur.fr/statistical-genetics/jass_suite_pipeline">JASS pre-processing pipeline</a> and imputation of missing statistics has been conducted using the <a href="https://gitlab.pasteur.fr/statistical-genetics/raiss">RAISS software</a>, resulting in a total of <b>{{initmeta.nb_snps}} SNPs</b>.
</p>
<div style="text-align: center; background-color: #fbfbfb; padding: 20px; width: 80%; margin: 30px auto;">
<h2> Citations </h2>
<p style="text-align:center; padding:20px;">
<h4>When using JASS in publication, please use the following citation:</h4>
<b><i class="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. <a href="https://academic.oup.com/nargab/article/2/1/lqaa003/5715214" target="_blank">https://academic.oup.com/nargab/article/2/1/lqaa003/5715214</a><br>
<br>
<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.
doi: 10.1093/bioinformatics/btz466. <a href="https://academic.oup.com/bioinformatics/article/35/22/4837/5512360" target="_blank">https://academic.oup.com/bioinformatics/article/35/22/4837/5512360</a><br>
<br>
<h4>When refereeing to the proof of concept, please use the following citation:</h4>
</p>
</div>
<v-container fluid>
<v-row dense>
<AnalysisCard v-for="analysis in analysis" :key="analysis.title" :title="analysis.title" :description="analysis.description" :short_btn="analysis.short_btn" :short_desc="analysis.short_desc" :link="analysis.link" :myStyle="analysis.myStyle" :myClass="analysis.myClass" :myImg="analysis.myImg" />
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......@@ -34,7 +34,7 @@ Please select the traits you want to analyze jointly with the omnibus test. A re
</v-data-table>
<div align="left" justify="start">
<v-btn depressed color="primary" v-on:click="runAnalysis()">
Run analysis
Launch analysis
</v-btn>
</div>
</v-app>
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