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parkjooyoung.html
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<!doctype html>
<html lang="ko">
<head>
<link href="https://fonts.googleapis.com/css2?family=Open+Sans:wght@300;400;600&display=swap" rel="stylesheet">
<link rel="stylesheet" type="text/css" href="styles.css">
</head>
<body>
<div class="wrap">
<div class="intro_bg">
<div class="header" id="link_header">
<ul class="nav">
<li >
<a href="#">HOME</a>
<ul>
<li><a href="#link_header">HOME</a></li>
</ul>
</li>
<li >
<a href="#">ABOUT</a>
<ul>
<li><a href="#link_interest" >RESEARCH_INTEREST</a></li>
<li><a href="#link_sa">SCORES&ABILITIES</a></li>
<li><a href="#link_project">PERSONAL_PROJECTS</a></li>
<li><a href="#link_ep">EXPERIENCE</a></li>
</ul>
</li>
<li >
<a href="#">CV</a>
<ul>
<li><a href="CV.pdf" target="_blank">CV.pdf</a></li>
</ul>
</li> <!--<a> 하면 마우스 커서로 클릭 가능 아니면 문서처럼 됨-->
<li>
<a href="#">CONTACT</a>
<ul>
</ul>
</li>
</ul>
</div>
<div class="introtext1">
<div></div>
</div>
<div class="introtext">
<div>
<ul>
<li>
<h1> Thanks for visitng :) </h1>
<li>
<h3> I am Jooyoung Park,</h3>
<br><h3> an undergraduate student majoring Bioinformatics and Bioengeneering in Soongsil University.</h3>
</li>
<li>
<h3>Taking lectures during undergraduate course and working as a research intern,</h3> <br> <h3>I got interested in </h3> <h3 class="italic">in silico</h3> <h3>genomic data analysis, next generation sequencing (NGS), Genetic features and diseases association</h3> <h5>(especially Immune diseases and Cancer)</h5> <h3>and Immunology.</h3>
</li>
<li>
<h3>Through graduate course, I am expecting to figure out association between genetic features and diseases via </h3><h3 class="italic">in silico</h3> <h3> genomic data analysis, and contribute to developing novel immunotherapy by relating it with immunology.
</h3>
</li>
</ul>
</div>
</div>
</div>
</div>
</body>
<!------------------------------------------------------------------------------>
<body>
<div class="wrap">
<div class="abouth">
<div class="about" id="link_interest">
<h1 >RESEARCH INTEREST</h1>
</div>
<div class="main1">
<ul>
<li>
<h2>Bioinformatics -</h2><h4 class="italic">in silico</h4><h4>analysis of biological data, NGS, Single cell analysis</h4>
</li>
<li>
<h2>Genomics -</h2><h4>Discovering genetic features related to diseases</h4><h6>(Cancer, Various types of immune disease)</h6>
</li>
<li>
<h2>Immunotherapy -</h2><h4 >Relating abberent genetic features with human immune system to find novel therapy</h4>
</li>
</ul>
</div>
<!------------------------------------------------------------------------------->
<div class="SA">
<div class="top" id="link_sa">
<h1 >SCORE & ABILITY </h1>
</div>
<div class="main2">
<ul>
<li>
<h2>GPA : </h2><h3>3.87/4.5 </h3>
</li>
<li>
<h2 class="a">Percentage equivalent : </h2><h3>91.00/100</h3>
</li>
<li>
<h2>IBT TOEFL : </h2><h3>102/120</h3><h4>available until 2021.08.03</h4>
</li>
<li>
<h2>Software Language : </h2><h3>R Python</h3>
</li>
<li>
<h2>Linux
</li>
</ul>
</div>
<div class="bot" id="link_project">
<h1 >PERSONAL PROJECTS</h1><h3>Click to view</h3>
</div>
<div class="main3">
<ul>
<li>
<h2>Biostatics : </h2><h5><a href= "Expression quantitative loci for TLR6 which leads cytokine secretion important in pathogenesis of AD.pdf" target="_blank"> Expression quantitative loci for TLR6 which leads cytokine secretion important in pathogenesis of Atopic Dermatitis</a></h5>
</li>
<li>
<h2>Computational Biology : </h2><h5><a href= "Discovering Novel ligand for CBG (Corticosteroid Binding Globulin) using Smina Docking.pdf" target="_blank"> Discovering Novel ligand for CBG (Corticosteroid Binding Globulin) using Smina Docking</a></h5>
</li>
</ul>
</div>
</div>
<!------------------------------------------------------------------------------->
<div class="exp">
<div class="exptop" id="link_ep">
<h1 >EXPERIENCE </h1>
</div>
<div class="main4">
<ul>
<li>
<h2>Insilicogen, 人 CoINTERNSHIP</h2><h4>2020.01.06 ~ 2020.02.14</h4>
</li>
<li class="samsung">
<h2>SGI ( Samsung Genome Institute ) Research Intern</h2> <h5>Advisor : 정제균 박사님</h5>
<br><h4>2020.07.01 ~ 2021.01.31</h4>
<ul>
<li>
<h3>Multi-regional Prostate cancer data analysis</h3><h6>with WTS, WES data</h6>
<br><h5> Multi-region mutation clonal analysis (phylip, R clonevol), CNV, Gene mutation analysis, signature analysis (TCGA), immune profiling</h5>
</li>
<li>
<h3>Small intestine cancer TCR analysis</h3><h6>with RNA-seq data case : 8 normal : 5</h6>
<br><h5>TCR clonotyping (Mixcr, VDJ tools), TCR analysis (R immunarch), CDR3 region (R sqlf, WebLogo), DEG analysis (R edgeR)</h5>
</li>
<li>
<h3>Prostate cancer intra-heterogeneity 국문 review 논문 작성</h3> <h5>( Submit 예정예정. 다듬는 작업 중)</h5>
</li>
<li>
<h3>Single-cell data machine learning</h3><h6>with Published lung cancer single-cell data (doi:10.1038/s41467-020-16164-1)</h6>
<br><h5> DEG analysis (R Seurat), WEKA (machine learning tool)</h5>
</li>
<li>
</li>
</ul>
</li>
<li>
</li>
</ul>
</div>
</div>
</div>
</div>
</body>
</html>