<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Non-Coding Variants on Hakim Bouazzaoui</title><link>https://hakim.bouazzaoui.fr/tags/non-coding-variants/</link><description>Recent content in Non-Coding Variants on Hakim Bouazzaoui</description><generator>Hugo</generator><language>en-US</language><copyright>Copyright Hakim Bouazzaoui. Tous droits réservés sauf mention contraire.</copyright><lastBuildDate>Sun, 31 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://hakim.bouazzaoui.fr/tags/non-coding-variants/index.xml" rel="self" type="application/rss+xml"/><item><title>MobiDeep</title><link>https://hakim.bouazzaoui.fr/projects/mobideep/</link><pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate><guid>https://hakim.bouazzaoui.fr/projects/mobideep/</guid><description>&lt;p&gt;MobiDeep is a project focused on prioritizing non-coding variants from whole-genome sequencing data. The underlying problem is central in rare diseases: non-coding regions represent a large part of the genome, remain difficult to interpret and may contribute to diagnostic delay.&lt;/p&gt;</description></item><item><title>MobiDeep: an AI-based meta-score for scoring non-coding DNA variations</title><link>https://hakim.bouazzaoui.fr/publications/mobideep-ai-meta-score-non-coding-variants/</link><pubDate>Wed, 11 Mar 2026 00:00:00 +0000</pubDate><guid>https://hakim.bouazzaoui.fr/publications/mobideep-ai-meta-score-non-coding-variants/</guid><description>&lt;p&gt;Preprint about &lt;a href="https://hakim.bouazzaoui.fr/projects/mobideep/"&gt;MobiDeep&lt;/a&gt;, an artificial intelligence meta-score designed to improve prioritization of non-coding variants in whole-genome sequencing data.&lt;/p&gt;
&lt;h2 id="links"&gt;Links&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;DOI: &lt;a href="https://doi.org/10.21203/rs.3.rs-8823759/v1"&gt;10.21203/rs.3.rs-8823759/v1&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Europe PMC: &lt;a href="https://europepmc.org/article/PPR/PPR1164933"&gt;PPR1164933&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Sciety: &lt;a href="https://sciety.org/articles/activity/10.21203/rs.3.rs-8823759/v1"&gt;MobiDeep article activity&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>MobiDeep: A Benchmark-Driven Ensemble Learning Approach</title><link>https://hakim.bouazzaoui.fr/talks/seminaire-genetique-ouest-mobideep/</link><pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate><guid>https://hakim.bouazzaoui.fr/talks/seminaire-genetique-ouest-mobideep/</guid><description>&lt;p&gt;Recorded talk on &lt;a href="https://hakim.bouazzaoui.fr/projects/mobideep/"&gt;MobiDeep&lt;/a&gt;, benchmarking prioritization tools and developing a meta-score for non-coding variants.&lt;/p&gt;
&lt;figure class="media-embed"&gt;
 &lt;div class="video-frame"&gt;
 &lt;iframe src="https://www.youtube-nocookie.com/embed/inRlS_mNq8o" title="MobiDeep A Benchmark Driven Ensemble Learning Approach - Abdelhakim Bouazzaoui" loading="lazy" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen&gt;&lt;/iframe&gt;
 &lt;/div&gt;
 &lt;figcaption&gt;MobiDeep A Benchmark Driven Ensemble Learning Approach - Abdelhakim Bouazzaoui&lt;/figcaption&gt;
 &lt;/figure&gt;</description></item><item><title>ANPGM Michel Goossens Grant</title><link>https://hakim.bouazzaoui.fr/grants/anpgm-michel-goossens-2025/</link><pubDate>Thu, 05 Jun 2025 00:00:00 +0000</pubDate><guid>https://hakim.bouazzaoui.fr/grants/anpgm-michel-goossens-2025/</guid><description>&lt;p&gt;Project selected in the 2025 ANPGM Michel Goossens call for projects: optimization of non-coding variant interpretation for the diagnosis of rare diseases identified by WGS.&lt;/p&gt;
&lt;h2 id="sources"&gt;Sources&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="https://anpgm.fr/toutes-les-actualit%C3%A9s/aap-michel-goossens-annonce-des-laur%C3%A9ats/"&gt;ANPGM announcement&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="https://anpgm.fr/media/documents/courrier_Laureats_AAP_Michel_Goossens.pdf"&gt;Awardee letter&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>