<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Training | Tanigawa Lab</title><link>https://tanigawalab.org/tags/training/</link><atom:link href="https://tanigawalab.org/tags/training/index.xml" rel="self" type="application/rss+xml"/><description>Training</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en</language><lastBuildDate>Fri, 10 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://tanigawalab.org/media/logo_hu_6ec5cb994dd998e6.png</url><title>Training</title><link>https://tanigawalab.org/tags/training/</link></image><item><title>Yosuke presents at CGSI 2026</title><link>https://tanigawalab.org/blog/2026/cgsi-2026/</link><pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate><guid>https://tanigawalab.org/blog/2026/cgsi-2026/</guid><description>&lt;p&gt;Yosuke presented at CGSI 2026, the Computational Genomics Summer Institute 2026. We are grateful to the CGSI organizers and participants for the opportunity to share our recent work.&lt;/p&gt;
&lt;h2 id="slides"&gt;Slides&lt;/h2&gt;
&lt;iframe src="https://docs.google.com/presentation/d/e/2PACX-1vSZUwxdFV3cZ6911eh7oyh_1u2MknquF9rWVA6CTbLU3R-XeF6BIR373sZu33G5R7b5kpWYC00RPald/pubembed?start=false&amp;loop=false&amp;delayms=3000" frameborder="0" width="640" height="500" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"&gt;&lt;/iframe&gt;
&lt;h2 id="related-papers"&gt;Related Papers&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Tian, X., Fabiha, T., Li, W. F., Dey, K. K., Kellis, M., &amp;amp; Tanigawa, Y. (2025). PRISM: ancestry-aware integration of tissue-specific genomic annotations enhances the transferability of polygenic scores. bioRxiv.
&lt;/li&gt;
&lt;li&gt;Tanigawa, Y., &amp;amp; Kellis, M. (2023). Power of inclusion: Enhancing polygenic prediction with admixed individuals. American Journal of Human Genetics, 110(11), 1888–1902.
&lt;/li&gt;
&lt;li&gt;Kachuri, L., Chatterjee, N., Hirbo, J., Schaid, D. J., Martin, I., Kullo, I. J., Kenny, E. E., Pasaniuc, B., Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group, Witte, J. S., &amp;amp; Ge, T. (2024). Principles and methods for transferring polygenic risk scores across global populations. Nature Reviews. Genetics, 25(1), 8–25.
&lt;/li&gt;
&lt;li&gt;Fabiha, T., Evergreen, I., Kundu, S., Pampari, A., Abramov, S., Boytsov, A., Strouse, K., Dura, K., Fang, W., Kerner, G., Butts, J., Ali, T., Gschwind, A., Mualim, K. S., Moore, J. E., Weng, Z., Ulirsch, J., Ji, H. E., Vierstra, J., … Dey, K. (2024). A consensus variant-to-function score to functionally prioritize variants for disease. bioRxiv.
&lt;/li&gt;
&lt;/ul&gt;
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&lt;h3 class="recruiting-callout-heading"&gt;📣 Recruiting&lt;/h3&gt;
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We are recruiting at all levels. Please check the &lt;a href="https://tanigawalab.org/join-us/"&gt;Join Us&lt;/a&gt; page for more information.
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