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	<title>de novo mutations detection &#8211; BIOENGINEER.ORG</title>
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		<title>Measuring How Filters Impact Detecting New Mutations</title>
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		<pubDate>Sat, 26 Apr 2025 11:12:02 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[computational filtering criteria]]></category>
		<category><![CDATA[de novo mutations detection]]></category>
		<category><![CDATA[evolutionary genetics]]></category>
		<category><![CDATA[mutation rate estimation]]></category>
		<category><![CDATA[sequencing depth impact]]></category>
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					<description><![CDATA[In recent years, the scientific community has witnessed remarkable advances in the study of spontaneous germline mutations—genetic alterations that arise anew in an organism’s egg or sperm cells. These de novo mutations are fundamental drivers of genetic diversity, playing a pivotal role in evolution and species adaptation. However, despite their importance, the precise rates at [&#8230;]]]></description>
		
		
		
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