forked from MeeshCompBio/CSBIO-Website
-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
124 lines (103 loc) · 4.77 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="description" content="">
<meta name="author" content="">
<title>Myers Lab</title>
<!-- Loads Bootstrap 4 -->
<script src="https://code.jquery.com/jquery-3.3.1.slim.min.js"
integrity="sha384-q8i/X+965DzO0rT7abK41JStQIAqVgRVzpbzo5smXKp4YfRvH+8abtTE1Pi6jizo"
crossorigin="anonymous"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js"
integrity="sha384-UO2eT0CpHqdSJQ6hJty5KVphtPhzWj9WO1clHTMGa3JDZwrnQq4sF86dIHNDz0W1"
crossorigin="anonymous"></script>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css"
integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js"
integrity="sha384-JjSmVgyd0p3pXB1rRibZUAYoIIy6OrQ6VrjIEaFf/nJGzIxFDsf4x0xIM+B07jRM"
crossorigin="anonymous"></script>
<!-- Loads CSS -->
<link href="css/styles.css" rel="stylesheet">
<!-- Loads fonts -->
<link href="font-awesome/css/font-awesome.min.css" rel="stylesheet" type="text/css">
<link href="https://fonts.googleapis.com/css?family=Nunito&display=swap" rel="stylesheet">
<link href="https://fonts.googleapis.com/css?family=Rubik&display=swap" rel="stylesheet">
</head>
<body>
<!-- Navigation bar -->
<div id="nav"></div>
<script type="text/javascript" src="js/header.js"></script>
<!-- Banner image -->
<div class="banner-img">
</div>
<!-- Page Content -->
<div class="container">
<!-- Main grid -->
<div class="top-row row">
<!-- News column -->
<div class="col-4">
<div class="row">
<h2 class="page-header">Recent News</h2>
</div>
<div class="row">
<div class="card border-light" style="width: 20rem;">
<h5 class="card-header">Updated website</h5>
<div class="card-body">
<p class="card-text">Our lab website has a shiny new look!</p>
<a href="http://csbio.cs.umn.edu/" class="card-link">See here</a>
</div>
</div>
</div>
<div class="row">
<div class="card border-light" style="width: 20rem;">
<h5 class="card-header">New paper</h5>
<div class="card-body">
<p class="card-text">Check out our new paper on between-pathway genetic interactions</p>
<a href="https://www.nature.com/articles/s41467-019-12131-7" class="card-link">Read here</a>
</div>
</div>
</div>
<div class="row">
<div class="card border-light" style="width: 20rem;">
<h5 class="card-header">Lab members graduate</h5>
<div class="card-body">
<p class="card-text">Congratulations to Dr. Nelson, who recently graduated from the BICB program</p>
<a href="/people.html" class="card-link">Learn more</a>
</div>
</div>
</div>
</div>
<!-- About us -->
<div class="col-5">
<div class="row">
<h2 class="page-header">About Us</h2>
</div>
<div class="row">
<p>Recent developments in biotechnology have enabled quantitative measurement of diverse cellular phenomena.
For instance, microarray technology allows biologists to measure the expression of all genes in the genome
on a single chip. Other technology allows high-throughput measurement of physical interactions between
proteins, which are an important mechanism behind most cellular processes. These recent developments have
generated an unprecedented amount of data for several different organisms. These data promise to
revolutionize our understanding of biology, but integrating information across several noisy, heterogeneous
datasets to derive holistic models of the cell requires sophisticated computational approaches.
Our research focuses on machine learning approaches for integrating diverse genomic data to make inferences
about biological networks. The main purpose of our work is to further our understanding of gene function and
how genes or proteins interact to carry out cellular processes.
</p>
</div>
</div>
<!-- GI image -->
<div class="col-3">
<img class="home-img img-fluid" src="images/Network.jpg" alt="GI network">
</div>
</div>
<!-- /.row -->
<!-- Footer -->
<script type="text/javascript" src="js/footer.js"></script>
</div>
<!-- container -->
</body>
</html>