Commit 90bbf526 authored by Rachel's avatar Rachel
Browse files

Update homepage

parent aa583a27
......@@ -78,11 +78,37 @@
text-decoration: none;
.main_title {
font-family: 'PlayfairDisplayReg';
font-size: 50px;
text-transform: capitalize;
text-align: center;
padding: 20px;
.main_intro {
width: 75%;
margin: 0 auto;
padding: 30px 0px 30px 0px;
text-align: center;
.card-title {
font-family: 'PlayfairDisplayReg';
font-size: 20px;
.left-card {
text-align: left;
width: 80%;
margin: 20px auto;
.right-card {
text-align: right;
width: 80%;
margin: 20px auto;
button,input,select,textarea {
<v-card max-width="600">
<v-card-title> {{title}} </v-card-title>
<v-card :class="myClass">
<v-card-title class="card-title"> {{title}} </v-card-title>
<v-card-text style="font-size:18px; color:black;">
<v-btn :to ="link">
<v-btn :to ="link" :style="myStyle" style="color:#fff; text-transform:none;">
</v-col >
export default {
props: ['title', "description", "short_desc","link"]
props: ['title', "description", "short_desc","link","myStyle","myClass"]
......@@ -29,7 +29,7 @@
<Nuxt />
<v-footer fixed app dark class="py-0">
<v-footer :absolute!=fixed app dark class="py-0">
<v-row justify="center">
<v-col sm="10" md="8">
<h1 class="main_title"> Joint Analysis of Summary Statistics </h1>
<p class="text-justify">
<p class="main-intro">
The JASS web interface efficiently compute multi-trait genome-wide association study (GWAS) and enable user to interacively explore results.
JASS can increase statistical power by leveraging pleiotropy, but also can deepen our understanding of SNPs functional effect (for a detailed explanation see the citation box below).
Currently this website host {{initmeta.nb_phenotypes}} traits available for analysis with the omnibus test.
Currently this website host <b> {{initmeta.nb_phenotypes}} traits </b>available for analysis with the omnibus test.
All GWAS have been pre-processed using the <a href="">JASS pre-processing pipeline</a> and imputation of missing statistics has been conducted using the <a href="">RAISS software</a>, resulting in a total of {{initmeta.nb_snps}} SNPs available for analysis.
To analyze data in your own facility and/or access supplementary joint analysis tests, please download and install the JASS python package.
<v-container fluid>
<v-container fluid>
<v-row dense>
<AnalysisCard v-for="analysis in analysis" v-bind:key="analysis.title" v-bind:title="analysis.title" v-bind:description="analysis.description" v-bind:short_desc="analysis.short_desc" v-bind:link="" />
<AnalysisCard v-for="analysis in analysis" :key="analysis.title" :title="analysis.title" :description="analysis.description" :short_desc="analysis.short_desc" :link="" :myStyle="analysis.myStyle" :myClass="analysis.myClass" />
<h2> About </h2>
......@@ -65,13 +65,21 @@ export default {
title: 'Genome wide Analysis',
description:'Run JASS on a set of traits genome wide, Explore result interactively and download results summary or full genome wide results. Can take up to ~30 to run depending on the number of trait selected.',
short_desc: 'Run Genome Wide Analysis',
title: 'Region Analysis',
description: 'Run JASS on a region of interest, Explore results interactively and export them to csv files. This analysis is limited to one chromosome and will run faster than genome wide analysis.',
short_desc: 'Run Region Analysis',
initmeta : [],
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