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research.html
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<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
<link rel="stylesheet" href="css/layout.css" type="text/css" />
<title>Segun C. Jung (정세근, 丁世根)</title>
</head>
<body>
<div id="container">
<div id="nav">
<ul>
<li><a href=".">Home</a></li>
<li><a href="pubs.html">Publications</a></li>
<li><a href="pres.html">Presentations</a></li>
<li><a href="research.html">Research</a></li>
<li><a href="running.html">Running</a></li>
<li><a href="family.html">Family pictures</a></li>
</ul>
</div>
<hr />
<p>My projects are routinely upated at git repo <a href="https://github.com/dauss75/" style="color: #0000ff" target="_blank"> https://github.com/dauss75/ </a></p><br/>
<h2>Globus Genomics</h2>
<li>Reproducible big data science: <a href="https://github.com/globusgenomics/genomics-footprint" style="color: #0000ff" target="_blank"> https://github.com/globusgenomics/genomics-footprint</a><br/>
<img src="images/footprint_workflow.png" width="600" alt="footprint workflow" />
</li>
<br/>
<li>Single-cell RNA (10X genomics cellranger galaxy wrapper): <a href="https://github.com/dauss75/galaxy_10xgenomics_single-cell" style="color: #0000ff" target="_blank"> https://github.com/dauss75/galaxy_10xgenomics_single-cell</a><br/>
<img src="images/cellranger_workflow.png" width="600" alt="cellranger workflow" />
</li>
<br/>
<li>SNP data based GDC cancer type classification using deep learning: <a href="https://github.com/dauss75/gdc_snp" style="color: #0000ff" target="_blank"> https://github.com/dauss75/gdc_snp</a><br/>
<img src="images/dnn.png" width="600" alt="deep neural network" />
</li>
<br/>
<li>microbiome: <a href="https://github.com/dauss75/microbiome" style="color: #0000ff" target="_blank"> https://github.com/dauss75/microbiome</a>
</li>
<li>mouse microarray: <a href="https://github.com/dauss75/mouse_microarray_analysis" style="color: #0000ff" target="_blank"> https://github.com/dauss75/mouse_microarray_analysis</a><
</li>
<hr />
<h2>NGS Analysis</h2>
<li>Data discretization<br/>
<img src="images/data_discretization.png" width="400" alt="data_discretization" /></li><br/>
<li>Identification of potential regulatory SNPs for prostate cancer (PCa) <br/>
<img src="images/Identification_of_potential_regulatory_SNPs_for_PCa.png" width="400" alt="Identification_of_potential_regulatory_SNPs_for_PCa" /></li><br/>
<li>Identify risk SNPs <br/>
<img src="images/Identify_risk_SNPs.png" width="400" alt="Identify_risk_SNPs" /></li><br/>
<li>Identifying a significant effect of CpG–SNP pairs on the overall survival <br/>
<img src="images/Identifying_CpG–SNP.png" width="400" alt="Identifying_CpG–SNP" /></li>
<hr />
<h2>Machine Learning</h2>
<li>NBmirTar<br/>
<img src="images/NBmirTar.png" width="400" alt="NBmirTar" /></li>
<li>One-class classification <br/>
<img src="images/one-class_classification.png" width="400" alt="one-class classification" /></li>
<li>SVM-RCE <br/>
<img src="images/SVM-RCE.png" width="400" alt="SVM-RCE" /></li>
<hr />
<h2>MD simulations for RNA 3D structure</h2>
<li>RNA 4-way junction interconversion<br/>
<img src="images/RNA_junction_interconversion.png" width="400" alt="RNA_junction_interconversion" /></li><br/>
<li>Intramolecular RNA–RNA long-range interactions <br/>
<img src="images/Intramolecular_RNA–RNA_long-range_interactions.png" width="400" alt="Intramolecular_RNA–RNA_long-range_interactions" /></li><br/>
<h2>RNA junctions</h2>
<li>modeling RNA junctions from 2D to 3D <br/>
<img src="images/modeling_RNA_junctions_from_2D_to_3D.png" width="400" alt="modeling_RNA_junctions_from_2D_to_3D" /></li><br/>
<li>RNA junction to 3D graph <br/>
<img src="images/RNA_junction_to_graph.png" width="400" alt="RNA_junction_to_graph" /></li><br/>
</div>
</body>
</html>