From 42eee3a5f5d4055210e971db02e94e33b66d0b71 Mon Sep 17 00:00:00 2001 From: Arthur Centeno Date: Thu, 18 Nov 2021 17:53:11 +0000 Subject: AC Updating base, index_page and tutorials on 11-18-21 --- wqflask/wqflask/templates/base.html | 9 +++++- wqflask/wqflask/templates/index_page.html | 52 ++++++++++++++++++++++++++++--- wqflask/wqflask/templates/tutorials.html | 27 +++++++--------- 3 files changed, 67 insertions(+), 21 deletions(-) diff --git a/wqflask/wqflask/templates/base.html b/wqflask/wqflask/templates/base.html index 6e922f24..a231c48c 100644 --- a/wqflask/wqflask/templates/base.html +++ b/wqflask/wqflask/templates/base.html @@ -22,6 +22,12 @@ + + + + + + {% block css %} @@ -87,7 +93,7 @@
Friday, May 8th, 2020
- 10am PDT/ 11am MDT/ 12pm CDT/ 1pm EDT
Goals of this webinar (trait variance to QTL):
Friday, May 22nd. 2020 - 10am PDT/ 11am MDT/ 12pm CDT/ 1pm EDT -
+Goals of this webinar (QTL to gene variant):
Friday, November 20th at 9am PDT/ 11pm CDT/ 12pm EDT
- 1-hour presentation followed by 30 minutes of discussion
Human disease is mainly due to complex interactions between genetic and environmental factors (GXE). We need to acquire the right "smart" data types—coherent and multiplicative data—required to make accurate predictions about risk and outcome for n = 1 individuals—a daunting task. We have developed large families of fully sequenced mice that mirror the genetic complexity of humans. We are using these Reference Populations to generate multiplicatively useful data and to build and test causal quantitative models of disease mechanisms with a special focus on diseases of aging, addiction, and neurological and psychiatric disease. @@ -141,7 +134,7 @@ $('#myTable').dataTable( {
Please note that this tutorial is based on GeneNetwork v1
GeneNetwork is a group of linked data sets and tools used to study complex networks of genes, molecules, and higher order gene function and phenotypes. GeneNetwork combines more than 25 years of legacy data generated by hundreds of scientists together with sequence data (SNPs) and massive transcriptome data sets (expression genetic or eQTL data sets). The quantitative trait locus (QTL) mapping module that is built into GN is optimized for fast on-line analysis of traits that are controlled by combinations of gene variants and environmental factors. GeneNetwork can be used to study humans, mice (BXD, AXB, LXS, etc.), rats (HXB), Drosophila, and plant species (barley and Arabidopsis). Most of these population data sets are linked with dense genetic maps (genotypes) that can be used to locate the genetic modifiers that cause differences in expression and phenotypes, including disease susceptibility. @@ -159,25 +152,27 @@ Registration: https://bit.ly/osga_2020-