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index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>OmixHub</title>
<link href="https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;700&display=swap" rel="stylesheet">
<style>
body {
font-family: 'Roboto', sans-serif;
line-height: 1.6;
color: #333;
margin: 0;
padding: 0;
background-color: #f4f4f4;
}
header {
background-color: #2c3e50;
color: #ecf0f1;
padding: 1rem;
text-align: center;
}
nav {
background-color: #34495e;
padding: 0.5rem;
}
nav ul {
list-style-type: none;
padding: 0;
margin: 0;
display: flex;
justify-content: center;
}
nav ul li {
margin: 0 1rem;
position: relative;
}
nav ul li a {
color: #ecf0f1;
text-decoration: none;
font-weight: bold;
padding: 0.5rem 1rem;
transition: background-color 0.3s ease;
}
nav ul li a:hover {
background-color: #2c3e50;
}
.dropdown-content {
display: none;
position: absolute;
background-color: #2c3e50;
min-width: 160px;
box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2);
z-index: 1;
border-radius: 4px;
}
.dropdown-content a {
color: #ecf0f1;
padding: 12px 16px;
text-decoration: none;
display: block;
text-align: left;
}
.dropdown-content a:hover {
background-color: #34495e;
}
.dropdown:hover .dropdown-content {
display: block;
}
.content {
display: flex;
max-width: 1200px;
margin: 2rem auto;
padding: 0 1rem;
}
main {
flex: 3;
margin-right: 2rem;
}
aside {
flex: 1;
background-color: #fff;
padding: 1.5rem;
border-radius: 8px;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
}
section {
background-color: #fff;
border-radius: 8px;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
padding: 1.5rem;
margin-bottom: 2rem;
}
h2 {
color: #2c3e50;
border-bottom: 2px solid #3498db;
padding-bottom: 0.5rem;
}
article {
margin-bottom: 1.5rem;
}
article h3 {
color: #34495e;
}
article a {
display: inline-block;
margin-top: 0.5rem;
padding: 0.5rem 1rem;
background-color: #3498db;
color: #fff;
text-decoration: none;
border-radius: 4px;
transition: background-color 0.3s ease;
}
article a:hover {
background-color: #2980b9;
}
footer {
background-color: #2c3e50;
color: #ecf0f1;
text-align: center;
padding: 1rem;
margin-top: 2rem;
}
</style>
</head>
<body>
<header>
<h1>OmixHub</h1>
<a href="{{ url_for('dataoperations') }}">Go to Data Operations</a>
</header>
<nav>
<ul>
<li class="dropdown">
<a href="dataoperations.html" class="dropbtn">Data Operations</a>
<div class="dropdown-content">
<a href="dataoperations.html#preprocessing">Data Preprocessing</a>
<a href="dataoperations.html#feature-selection">Feature Selection</a>
<a href="dataoperations.html#google-cloud-utilities">Google Cloud Utils</a>
<a href="dataoperations.html#gdc-utilities">Genomic Data Commons Utils</a>
<a href="dataoperations.html#normal-tissue-sample-simulator">Normal Tissue Sample Simulator</a>
</div>
</li>
<li><a href="documentation.html">Documentation</a></li>
<li class="dropdown">
<a href="#" class="dropbtn">Machine Learning Tools</a>
<div class="dropdown-content">
<a href="#classification">Classification Models</a>
<a href="#dimensionality-reduction">Dimensionality Reduction</a>
<a href="#clustering">Clustering Algorithms</a>
</div>
</li>
<li class="dropdown">
<a href="#" class="dropbtn">Bioinformatics Tools</a>
<div class="dropdown-content">
<a href="#DGE-analysis">DGE Analysis</a>
<a href="#GSEA-analysis">GSEA Analysis</a>
<!-- <a href="#gene-ontology">Gene Ontology</a> -->
</div>
</li>
<li><a href="#about">About</a></li>
</ul>
</nav>
<div class="content">
<main>
<section id="data-operations">
<h2>Data Operations</h2>
<article id="preprocessing">
<h3>Data Preprocessing</h3>
<p>Tools and techniques for cleaning and preparing RNASeq data for analysis.</p>
<a href="dataoperations.html#data-preprocessing">Learn more about Data Preprocessing</a>
</article>
<article id="feature-selection">
<h3>Feature Selection</h3>
<p>Methods for selecting relevant features from high-dimensional RNASeq data.</p>
<a href="dataoperations.html#feature-selection">Learn more about Feature Selection</a>
</article>
<article id="cloud-utils>
<h3>Cloud Utilities in Python</h3>
<p>Techniques for optimizing your cloud migration, storage and retrieval.</p>
<a href="dataoperations.html#google-cloud-utilities">Learn more about Data Normalization</a>
</article>
<article id="sample_simulator">
<h3>Sample Simulation for omics-ML</h3>
<p>Techniques for efficiently simulating normal tissue samples for RNA-Seq experiments.</p>
<a href="dataoperations.html#normal-tissue-sample-simulator">Learn more about Data Normalization</a>
</article>
<article id="gdc_utils">
<h3>GDC utilities in Python</h3>
<p>Easy to use functions for querying <a href="https://gdc.cancer.gov/developers/gdc-application-programming-interface-api">GDC API</a>.</p>
<a href="dataoperations.html#gdc-utilities">Learn more about GDC Utilities</a>
</article>
</section>
<section id="machine-learning">
<h2>Machine Learning Tools</h2>
<article id="classification">
<h3>Classification Models</h3>
<p>Overview of various classification models used in RNASeq data analysis.</p>
<a href="#">Learn more about Classification Models</a>
</article>
<article id="dimensionality-reduction">
<h3>Dimensionality Reduction</h3>
<p>Techniques for reducing the dimensionality of RNASeq data while preserving important information.</p>
<a href="#">Learn more about Dimensionality Reduction</a>
</article>
<article id="clustering">
<h3>Clustering Algorithms</h3>
<p>Methods for grouping similar samples or genes in RNASeq data.</p>
<a href="#">Learn more about Clustering Algorithms</a>
</article>
</section>
<section id="bioinformatics">
<h2>Bioinformatics Tools</h2>
<article id="DGE-analysis">
<h3>Differential Gene Expression Analysis</h3>
<p>Tools for analyzing and comparing RNA sequences.</p>
<a href="#">Learn more about Sequence Analysis</a>
</article>
<article id="GSEA-analysis">
<h3>Gene Set Enrichment Analysis</h3>
<p>Methods for identifying and analyzing biological pathways in RNASeq data.</p>
<a href="#">Learn more about Pathway Analysis</a>
</article>
<!-- <article id="gene-ontology">
<h3>Gene Ontology</h3>
<p>Tools for functional annotation and enrichment analysis of gene sets.</p>
<a href="#">Learn more about Gene Ontology</a>
</article> -->
</section>
</main>
<aside>
<h3>Categories</h3>
<ul>
<li>Data Preprocessing</li>
<li>Feature Selection</li>
<li>Classification</li>
<li>Dimensionality Reduction</li>
<li>Differential Gene Expression Analysis</li>
<li>Gene Set Enrichment Analysis</li>
</ul>
<h3>Recent Updates</h3>
<ul>
<li>Added new feature selection algorithms</li>
<li>Improved classification model performance</li>
<!-- <li>Updated pathway analysis tools</li> -->
</ul>
</aside>
</div>
<footer>
<p>© 2024 OmixHub. All rights reserved.</p>
</footer>
</body>
</html>