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'description' => '<h2 class="text-center"><span class="diacol">New!</span></h2>
<h2 style="text-align: center;">ユニークなエピジェネティックなデータ洞察に（AI）を使用したデータマイニング</h2>
<h2 class="text-center"><img src="https://www.diagenode.com/img/product/data-mining-long.png" style="color: #222222; font-family: 'Helvetica Neue', Helvetica, Roboto, Arial, sans-serif; font-size: 16px;" /></h2>
<p></p>
<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
</div>
<center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center>
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<p>Diagenodeの新しいデータマイニングサービスは、先端技術のAI（機械学習）、統計、およびデータベースシステムの方法を利用しています。 この拡張サービスは、大規模なデータセットのパターンを分析して有益な新しい洞察を提供することにより、これまでにない新たな発見をサポートします。</p>
<p>患者コホート、単一細胞解析、または他の異種シナリオからのデータがある場合も、最新のデータマイニング機能を使用した最適なデータ分析により徹底したサポートを提供します。AI（機械学習技術）を採用することで、データセット内およびデータセット間で未発見または不明確な関係を見つけ出す可能性が大幅に広がります。この高度なテクノロジーにより、無駄骨を折ることなく大量のデータから有益な機能を発見できます。</p>
<p>Diagenodeのこのサービスは複数のアルゴリズムを使用して高度なデータマイニングを実現し、データ固有の最適なアルゴリズムの組み合わせを利用します。関連データに応じてデータを2つ以上のクラスまたはグループに分離する強力な分類子の構築を目標としています。</p>
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<td><strong>Transcriptomic data</strong></td>
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<p>ATAC-seq</p>
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<p>Small and long non coding RNA</p>
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<p><strong>Biological Interpretation</strong></p>
<p>機械学習分類子は、クラス間の基本的な生物学的差異を反映するだけでなく、作業中の分子プロセスを明らかにするために使用されます。これに伴いデータの生物学的解釈サービスと経路マイニング解析を提供しています。</p>
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<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px;">WHITE PAPERS</span>
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<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
</ul>
</nav></div>
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<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo" class="alert small button">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo?app_note=23" class="alert small button">Read more</a></div>
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<p><a href="https://www.diagenode.com/en/categories/Services">Read about our wetlab services</a></p>
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<h2 style="text-align: center;">ユニークなエピジェネティックなデータ洞察に（AI）を使用したデータマイニング</h2>
<h2 class="text-center"><img src="https://www.diagenode.com/img/product/data-mining-long.png" style="color: #222222; font-family: 'Helvetica Neue', Helvetica, Roboto, Arial, sans-serif; font-size: 16px;" /></h2>
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<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
</div>
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<p>Diagenodeの新しいデータマイニングサービスは、先端技術のAI（機械学習）、統計、およびデータベースシステムの方法を利用しています。 この拡張サービスは、大規模なデータセットのパターンを分析して有益な新しい洞察を提供することにより、これまでにない新たな発見をサポートします。</p>
<p>患者コホート、単一細胞解析、または他の異種シナリオからのデータがある場合も、最新のデータマイニング機能を使用した最適なデータ分析により徹底したサポートを提供します。AI（機械学習技術）を採用することで、データセット内およびデータセット間で未発見または不明確な関係を見つけ出す可能性が大幅に広がります。この高度なテクノロジーにより、無駄骨を折ることなく大量のデータから有益な機能を発見できます。</p>
<p>Diagenodeのこのサービスは複数のアルゴリズムを使用して高度なデータマイニングを実現し、データ固有の最適なアルゴリズムの組み合わせを利用します。関連データに応じてデータを2つ以上のクラスまたはグループに分離する強力な分類子の構築を目標としています。</p>
<p>異なる複数の-omicsデータクラスを同時にマイニングや、表現型および/または臨床データとの統合も可能です。以下を含む複数のデータクラスのデータマイニングサービスを提供しています。</p>
<table class="extra-spaced">
<tbody>
<tr>
<td><strong>Epigenetic data</strong></td>
<td><strong>Transcriptomic data</strong></td>
</tr>
<tr>
<td>
<p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p>
<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
</td>
<td>
<p>mRNA-sequencing</p>
<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
</td>
</tr>
</tbody>
</table>
<p></p>
<p><strong>Biological Interpretation</strong></p>
<p>機械学習分類子は、クラス間の基本的な生物学的差異を反映するだけでなく、作業中の分子プロセスを明らかにするために使用されます。これに伴いデータの生物学的解釈サービスと経路マイニング解析を提供しています。</p>
<div class="row">
<div class="small-12 medium-12 large-12 columns">
<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px;">WHITE PAPERS</span>
<div id="portal" class="main-portal">
<div class="portal-inner"><nav class="portal-nav" style="text-align: left;">
<ul data-tab="" class="tips-menu">
<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
</ul>
</nav></div>
</div>
<div class="tabs-content">
<div class="content active" id="panel1">
<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo" class="alert small button">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo?app_note=23" class="alert small button">Read more</a></div>
</div>
</blockquote>
</div>
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<li>Prototypic analyses:</li>
<li>Initial feasibility report</li>
</ul>
<p></p>
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<li><strong>Data Mining</strong></li>
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<li>Data evaluation and validation</li>
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<h2 style="text-align: center;">ユニークなエピジェネティックなデータ洞察に（AI）を使用したデータマイニング</h2>
<h2 class="text-center"><img src="https://www.diagenode.com/img/product/data-mining-long.png" style="color: #222222; font-family: 'Helvetica Neue', Helvetica, Roboto, Arial, sans-serif; font-size: 16px;" /></h2>
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<p>患者コホート、単一細胞解析、または他の異種シナリオからのデータがある場合も、最新のデータマイニング機能を使用した最適なデータ分析により徹底したサポートを提供します。AI（機械学習技術）を採用することで、データセット内およびデータセット間で未発見または不明確な関係を見つけ出す可能性が大幅に広がります。この高度なテクノロジーにより、無駄骨を折ることなく大量のデータから有益な機能を発見できます。</p>
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<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px;">WHITE PAPERS</span>
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<ul data-tab="" class="tips-menu">
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<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
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<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo" class="alert small button">Read more</a></div>
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<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
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<a href="https://www.diagenode.com/jp/pages/form-bioinfo?app_note=23" class="alert small button">Read more</a></div>
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<h2 class="text-center"><img src="https://www.diagenode.com/img/product/data-mining-long.png" style="color: #222222; font-family: 'Helvetica Neue', Helvetica, Roboto, Arial, sans-serif; font-size: 16px;" /></h2>
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<p>患者コホート、単一細胞解析、または他の異種シナリオからのデータがある場合も、最新のデータマイニング機能を使用した最適なデータ分析により徹底したサポートを提供します。AI（機械学習技術）を採用することで、データセット内およびデータセット間で未発見または不明確な関係を見つけ出す可能性が大幅に広がります。この高度なテクノロジーにより、無駄骨を折ることなく大量のデータから有益な機能を発見できます。</p>
<p>Diagenodeのこのサービスは複数のアルゴリズムを使用して高度なデータマイニングを実現し、データ固有の最適なアルゴリズムの組み合わせを利用します。関連データに応じてデータを2つ以上のクラスまたはグループに分離する強力な分類子の構築を目標としています。</p>
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<p><strong>Biological Interpretation</strong></p>
<p>機械学習分類子は、クラス間の基本的な生物学的差異を反映するだけでなく、作業中の分子プロセスを明らかにするために使用されます。これに伴いデータの生物学的解釈サービスと経路マイニング解析を提供しています。</p>
<div class="row">
<div class="small-12 medium-12 large-12 columns">
<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px;">WHITE PAPERS</span>
<div id="portal" class="main-portal">
<div class="portal-inner"><nav class="portal-nav" style="text-align: left;">
<ul data-tab="" class="tips-menu">
<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
</ul>
</nav></div>
</div>
<div class="tabs-content">
<div class="content active" id="panel1">
<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo" class="alert small button">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo?app_note=23" class="alert small button">Read more</a></div>
</div>
</blockquote>
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<p><a href="https://www.diagenode.com/en/categories/Services">Read about our wetlab services</a></p>
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'description' => '<h2 class="text-center"><span class="diacol">New!</span></h2>
<h2 style="text-align: center;">ユニークなエピジェネティックなデータ洞察に（AI）を使用したデータマイニング</h2>
<h2 class="text-center"><img src="https://www.diagenode.com/img/product/data-mining-long.png" style="color: #222222; font-family: 'Helvetica Neue', Helvetica, Roboto, Arial, sans-serif; font-size: 16px;" /></h2>
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<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
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<center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center>
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<p>Diagenodeの新しいデータマイニングサービスは、先端技術のAI（機械学習）、統計、およびデータベースシステムの方法を利用しています。 この拡張サービスは、大規模なデータセットのパターンを分析して有益な新しい洞察を提供することにより、これまでにない新たな発見をサポートします。</p>
<p>患者コホート、単一細胞解析、または他の異種シナリオからのデータがある場合も、最新のデータマイニング機能を使用した最適なデータ分析により徹底したサポートを提供します。AI（機械学習技術）を採用することで、データセット内およびデータセット間で未発見または不明確な関係を見つけ出す可能性が大幅に広がります。この高度なテクノロジーにより、無駄骨を折ることなく大量のデータから有益な機能を発見できます。</p>
<p>Diagenodeのこのサービスは複数のアルゴリズムを使用して高度なデータマイニングを実現し、データ固有の最適なアルゴリズムの組み合わせを利用します。関連データに応じてデータを2つ以上のクラスまたはグループに分離する強力な分類子の構築を目標としています。</p>
<p>異なる複数の-omicsデータクラスを同時にマイニングや、表現型および/または臨床データとの統合も可能です。以下を含む複数のデータクラスのデータマイニングサービスを提供しています。</p>
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<p><strong>Biological Interpretation</strong></p>
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<div class="row">
<div class="small-12 medium-12 large-12 columns">
<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px;">WHITE PAPERS</span>
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<ul data-tab="" class="tips-menu">
<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
</ul>
</nav></div>
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<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo" class="alert small button">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo?app_note=23" class="alert small button">Read more</a></div>
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<p><a href="https://www.diagenode.com/en/categories/Services">Read about our wetlab services</a></p>
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<h2 style="text-align: center;">ユニークなエピジェネティックなデータ洞察に（AI）を使用したデータマイニング</h2>
<h2 class="text-center"><img src="https://www.diagenode.com/img/product/data-mining-long.png" style="color: #222222; font-family: 'Helvetica Neue', Helvetica, Roboto, Arial, sans-serif; font-size: 16px;" /></h2>
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<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
</div>
<center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center>
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<p>Diagenodeの新しいデータマイニングサービスは、先端技術のAI（機械学習）、統計、およびデータベースシステムの方法を利用しています。 この拡張サービスは、大規模なデータセットのパターンを分析して有益な新しい洞察を提供することにより、これまでにない新たな発見をサポートします。</p>
<p>患者コホート、単一細胞解析、または他の異種シナリオからのデータがある場合も、最新のデータマイニング機能を使用した最適なデータ分析により徹底したサポートを提供します。AI（機械学習技術）を採用することで、データセット内およびデータセット間で未発見または不明確な関係を見つけ出す可能性が大幅に広がります。この高度なテクノロジーにより、無駄骨を折ることなく大量のデータから有益な機能を発見できます。</p>
<p>Diagenodeのこのサービスは複数のアルゴリズムを使用して高度なデータマイニングを実現し、データ固有の最適なアルゴリズムの組み合わせを利用します。関連データに応じてデータを2つ以上のクラスまたはグループに分離する強力な分類子の構築を目標としています。</p>
<p>異なる複数の-omicsデータクラスを同時にマイニングや、表現型および/または臨床データとの統合も可能です。以下を含む複数のデータクラスのデータマイニングサービスを提供しています。</p>
<table class="extra-spaced">
<tbody>
<tr>
<td><strong>Epigenetic data</strong></td>
<td><strong>Transcriptomic data</strong></td>
</tr>
<tr>
<td>
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<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
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<td>
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</td>
</tr>
</tbody>
</table>
<p></p>
<p><strong>Biological Interpretation</strong></p>
<p>機械学習分類子は、クラス間の基本的な生物学的差異を反映するだけでなく、作業中の分子プロセスを明らかにするために使用されます。これに伴いデータの生物学的解釈サービスと経路マイニング解析を提供しています。</p>
<div class="row">
<div class="small-12 medium-12 large-12 columns">
<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px;">WHITE PAPERS</span>
<div id="portal" class="main-portal">
<div class="portal-inner"><nav class="portal-nav" style="text-align: left;">
<ul data-tab="" class="tips-menu">
<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
</ul>
</nav></div>
</div>
<div class="tabs-content">
<div class="content active" id="panel1">
<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo" class="alert small button">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo?app_note=23" class="alert small button">Read more</a></div>
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'description' => '<h2 class="text-center"><span class="diacol">New!</span></h2>
<h2 style="text-align: center;">ユニークなエピジェネティックなデータ洞察に（AI）を使用したデータマイニング</h2>
<h2 class="text-center"><img src="https://www.diagenode.com/img/product/data-mining-long.png" style="color: #222222; font-family: 'Helvetica Neue', Helvetica, Roboto, Arial, sans-serif; font-size: 16px;" /></h2>
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<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
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<p>Diagenodeの新しいデータマイニングサービスは、先端技術のAI（機械学習）、統計、およびデータベースシステムの方法を利用しています。 この拡張サービスは、大規模なデータセットのパターンを分析して有益な新しい洞察を提供することにより、これまでにない新たな発見をサポートします。</p>
<p>患者コホート、単一細胞解析、または他の異種シナリオからのデータがある場合も、最新のデータマイニング機能を使用した最適なデータ分析により徹底したサポートを提供します。AI（機械学習技術）を採用することで、データセット内およびデータセット間で未発見または不明確な関係を見つけ出す可能性が大幅に広がります。この高度なテクノロジーにより、無駄骨を折ることなく大量のデータから有益な機能を発見できます。</p>
<p>Diagenodeのこのサービスは複数のアルゴリズムを使用して高度なデータマイニングを実現し、データ固有の最適なアルゴリズムの組み合わせを利用します。関連データに応じてデータを2つ以上のクラスまたはグループに分離する強力な分類子の構築を目標としています。</p>
<p>異なる複数の-omicsデータクラスを同時にマイニングや、表現型および/または臨床データとの統合も可能です。以下を含む複数のデータクラスのデータマイニングサービスを提供しています。</p>
<table class="extra-spaced">
<tbody>
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<td><strong>Epigenetic data</strong></td>
<td><strong>Transcriptomic data</strong></td>
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<tr>
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<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
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<td>
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<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
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<p></p>
<p><strong>Biological Interpretation</strong></p>
<p>機械学習分類子は、クラス間の基本的な生物学的差異を反映するだけでなく、作業中の分子プロセスを明らかにするために使用されます。これに伴いデータの生物学的解釈サービスと経路マイニング解析を提供しています。</p>
<div class="row">
<div class="small-12 medium-12 large-12 columns">
<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px;">WHITE PAPERS</span>
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<div class="portal-inner"><nav class="portal-nav" style="text-align: left;">
<ul data-tab="" class="tips-menu">
<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
</ul>
</nav></div>
</div>
<div class="tabs-content">
<div class="content active" id="panel1">
<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo" class="alert small button">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo?app_note=23" class="alert small button">Read more</a></div>
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<p><a href="https://www.diagenode.com/en/categories/Services">Read about our wetlab services</a></p>
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'description' => '<h2 class="text-center"><span class="diacol">New!</span></h2>
<h2 style="text-align: center;">ユニークなエピジェネティックなデータ洞察に（AI）を使用したデータマイニング</h2>
<h2 class="text-center"><img src="https://www.diagenode.com/img/product/data-mining-long.png" style="color: #222222; font-family: 'Helvetica Neue', Helvetica, Roboto, Arial, sans-serif; font-size: 16px;" /></h2>
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<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
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<p></p>
<p>Diagenodeの新しいデータマイニングサービスは、先端技術のAI（機械学習）、統計、およびデータベースシステムの方法を利用しています。 この拡張サービスは、大規模なデータセットのパターンを分析して有益な新しい洞察を提供することにより、これまでにない新たな発見をサポートします。</p>
<p>患者コホート、単一細胞解析、または他の異種シナリオからのデータがある場合も、最新のデータマイニング機能を使用した最適なデータ分析により徹底したサポートを提供します。AI（機械学習技術）を採用することで、データセット内およびデータセット間で未発見または不明確な関係を見つけ出す可能性が大幅に広がります。この高度なテクノロジーにより、無駄骨を折ることなく大量のデータから有益な機能を発見できます。</p>
<p>Diagenodeのこのサービスは複数のアルゴリズムを使用して高度なデータマイニングを実現し、データ固有の最適なアルゴリズムの組み合わせを利用します。関連データに応じてデータを2つ以上のクラスまたはグループに分離する強力な分類子の構築を目標としています。</p>
<p>異なる複数の-omicsデータクラスを同時にマイニングや、表現型および/または臨床データとの統合も可能です。以下を含む複数のデータクラスのデータマイニングサービスを提供しています。</p>
<table class="extra-spaced">
<tbody>
<tr>
<td><strong>Epigenetic data</strong></td>
<td><strong>Transcriptomic data</strong></td>
</tr>
<tr>
<td>
<p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p>
<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
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<td>
<p>mRNA-sequencing</p>
<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
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<p></p>
<p><strong>Biological Interpretation</strong></p>
<p>機械学習分類子は、クラス間の基本的な生物学的差異を反映するだけでなく、作業中の分子プロセスを明らかにするために使用されます。これに伴いデータの生物学的解釈サービスと経路マイニング解析を提供しています。</p>
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<div class="small-12 medium-12 large-12 columns">
<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px;">WHITE PAPERS</span>
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<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
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<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo" class="alert small button">Read more</a></div>
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<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/jp/pages/form-bioinfo?app_note=23" class="alert small button">Read more</a></div>
</div>
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