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    <title>Variant-Effect-Prediction on BIOCOMPUTER</title>
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    <description>Recent content in Variant-Effect-Prediction on BIOCOMPUTER</description>
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      <title>AlphaGenome: DeepMind&#39;s AI Decodes the 98% Non-Coding Genome, Supercharging CRISPR for Genetic Diseases</title>
      <link>https://biocomputer.com/blog/alphagenome-deepmind-non-coding-genome-crispr/</link>
      <pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://biocomputer.com/blog/alphagenome-deepmind-non-coding-genome-crispr/</guid>
      <description>&lt;p&gt;On April 7, 2026, Demis Hassabis explained publicly why CRISPR — despite being able to target nearly any DNA sequence — still struggles to cure most genetic diseases: we don&amp;rsquo;t know which mutation is actually driving the problem, especially in the 98% of the genome that doesn&amp;rsquo;t code for proteins.&lt;/p&gt;&#xA;&lt;p&gt;That&amp;rsquo;s the bottleneck. Not the scissors. The map.&lt;/p&gt;&#xA;&lt;p&gt;Enter &lt;strong&gt;AlphaGenome&lt;/strong&gt;, DeepMind&amp;rsquo;s new unified DNA sequence model. It takes up to 1 megabase of raw DNA and predicts thousands of functional genomic tracks at single-base-pair resolution — reliably flagging which non-coding variants are likely driving disease. CRISPR just got a targeting system worthy of it.&lt;/p&gt;</description>
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