From 86a0dad41af08f528048c794b8dc404269f203ea Mon Sep 17 00:00:00 2001
From: Simon Malesys <simon.malesys@pasteur.fr>
Date: Mon, 22 Jan 2024 11:51:31 +0100
Subject: [PATCH] Format numbers in home page
---
client/pages/index.vue | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/client/pages/index.vue b/client/pages/index.vue
index 24154ae8..08eb5cf2 100644
--- a/client/pages/index.vue
+++ b/client/pages/index.vue
@@ -7,8 +7,8 @@
<v-card-text class="main-intro">
The JASS web interface efficiently compute multi-trait genome-wide association study (GWAS) and enable user to interactively explore results.
Multi-trait GWAS 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 a total of <b>{{ getTotalPhenotypes }}</b> phenotypes available from <b>{{ getTotalTables }}</b> ancestries for analysis with the Omnibus test.
- 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>{{ getTotalSNP }}</b> SNPs available for analysis.
+ Currently this website host a total of <b>{{ getTotalPhenotypes.toLocaleString() }}</b> phenotypes available from <b>{{ getTotalTables.toLocaleString() }}</b> ancestries for analysis with the Omnibus test.
+ 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>{{ getTotalSNP.toLocaleString() }}</b> SNPs available for analysis.
To analyze data in your own facility and/or access supplementary joint analysis tests, please download and install the <a href="https://statistical-genetics.pages.pasteur.fr/jass/">JASS python package.</a>
</v-card-text>
</v-col>
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