MeDIP sequencing services include:
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QC of the genomic DNA |
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Preparation of MeDIP-seq libraries* |
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Deep sequencing |
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*Full protocol details can be viewed in the MagMeDIP-seq Package manual
You are about to request a quote for our epigenomics services. Fill out the form below and we will be in touch with you very soon.
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5mCゲノム全体の研究に、メチル化DNA免疫沈降シーケンシング（MeDIP-Seq）を行います。このアッセイでは、免疫沈降の際の5-mCに対する特異的抗体を利用して、メチル化DNA領域を捕捉します。免疫沈降画分中のメチル化DNAの濃縮は、個々の領域のメチル化状態を評価する配列決定によって確定します。
DNAメチル化プロファイルの定性分析に優れた方法
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QC of the genomic DNA |
|
|
Preparation of MeDIP-seq libraries* |
|
|
Deep sequencing |
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*Full protocol details can be viewed in the MagMeDIP-seq Package manual
| Epigenomics Profiling Services FLYER Chromatin analysis DNA methylation services RNA-seq analysis | Download |
 How to properly cite this product in your workDiagenode strongly recommends using this: MeDIP-seq (Methylated DNA IP Sequencing) 受託サービス (Diagenode Cat# G02050000). Click here to copy to clipboard. Using our products in your publication? Let us know! |
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null, 'name' => 'Bioinformatics Data Mining Service', 'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2> <center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <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> <p></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; font-size: 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/en/pages/form-bioinfo" class="alert small button" target="_blank">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/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</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 class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. 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<center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <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> <p></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; font-size: 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/en/pages/form-bioinfo" class="alert small button" target="_blank">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/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</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 class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. 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lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">5mC</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">ゲノム全体の研究に、メチル化</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">DNA</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">免疫沈降シーケンシング（</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">MeDIP-Seq</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">）を行います。このアッセイでは、免疫沈降の際の</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">5-mC</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">に対する特異的抗体を利用して、メチル化</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">DNA</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">領域を捕捉します。免疫沈降画分中のメチル化</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">DNA</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">の濃縮は、個々の領域のメチル化状態を評価する配列決定によって確定します。</span></p> <p class="normal" style="margin-top: 12.0pt; line-height: 160%;"><span lang="EN" style="font-family: 'Arial Unicode MS'; color: #980000;">DNA</span><span lang="FR" style="font-family: 'Arial Unicode MS'; color: #980000;">メチル化プロファイルの定性分析に優れた方法</span></p> <ul> <ul style="list-style-type: disc;"> <li style="font-weight: 400;">100〜500 bpの解像度</li> <li style="font-weight: 400;">低密度および繰り返し頻度の高い領域での5mCカバレッジ</li> <li style="font-weight: 400;">特異性が高く、偏りの少ない配列などに影響を受けない抗体ベースのアプローチ</li> <li style="font-weight: 400;">専門の科学者がハイタッチコミュニケーションで顧客プロジェクトを管理</li> <li style="font-weight: 400;">包括的なサービス - 免疫沈降、ライブラリーの調製、配列決定、分析</li> </ul> </ul> <p><b></b></p> <p></p> <h4><span style="font-weight: 400;"> </span></h4> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <div id="gtx-trans" style="position: absolute; left: 301px; top: 93.4px;"> <div class="gtx-trans-icon"></div> </div>', 'label1' => '詳細', 'info1' => '<h4>MeDIP sequencing services include:</h4> <p></p> <table style="width: 942px;"> <tbody> <tr> <td style="width: 411px;"> <p><span style="font-weight: 400;">QC of the genomic DNA</span></p> </td> <td style="width: 523px;"> <ul> 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null, 'name' => 'Bioinformatics Data Mining Service', 'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2> <center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <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> <p></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; font-size: 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/en/pages/form-bioinfo" class="alert small button" target="_blank">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/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</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 class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. 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<center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <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> <p></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; font-size: 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/en/pages/form-bioinfo" class="alert small button" target="_blank">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/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</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 class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. 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Notice (8): Undefined variable: message [APP/View/Products/view.ctp, line 755]Code Context<!-- BEGIN: REQUEST_FORM MODAL --><div id="request_formModal" class="reveal-modal medium" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"><?= $this->element('Forms/simple_form', array('solution_of_interest' => $solution_of_interest, 'header' => $header, 'message' => $message, 'campaign_id' => $campaign_id)) ?>$viewFile = '/home/website-server/www/app/View/Products/view.ctp' $dataForView = array( 'language' => 'jp', 'meta_keywords' => 'MeDIP-seq service (Methylated DNA IP Sequencing)', 'meta_description' => 'MeDIP-seq service (Methylated DNA IP Sequencing)', 'meta_title' => 'MeDIP-seq service (Methylated DNA IP Sequencing)', 'product' => array( 'Product' => array( 'id' => '2990', 'antibody_id' => null, 'name' => 'MeDIP-seq (Methylated DNA IP Sequencing) 受託サービス ', 'description' => '<p class="normal" style="text-align: justify; line-height: 150%; background: white;"><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">5mC</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">ゲノム全体の研究に、メチル化</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">DNA</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">免疫沈降シーケンシング（</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">MeDIP-Seq</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">）を行います。このアッセイでは、免疫沈降の際の</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">5-mC</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">に対する特異的抗体を利用して、メチル化</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">DNA</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">領域を捕捉します。免疫沈降画分中のメチル化</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">DNA</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">の濃縮は、個々の領域のメチル化状態を評価する配列決定によって確定します。</span></p> <p class="normal" style="margin-top: 12.0pt; line-height: 160%;"><span lang="EN" style="font-family: 'Arial Unicode MS'; color: #980000;">DNA</span><span lang="FR" style="font-family: 'Arial Unicode MS'; color: #980000;">メチル化プロファイルの定性分析に優れた方法</span></p> <ul> <ul style="list-style-type: disc;"> <li style="font-weight: 400;">100〜500 bpの解像度</li> <li style="font-weight: 400;">低密度および繰り返し頻度の高い領域での5mCカバレッジ</li> <li style="font-weight: 400;">特異性が高く、偏りの少ない配列などに影響を受けない抗体ベースのアプローチ</li> <li style="font-weight: 400;">専門の科学者がハイタッチコミュニケーションで顧客プロジェクトを管理</li> <li style="font-weight: 400;">包括的なサービス - 免疫沈降、ライブラリーの調製、配列決定、分析</li> </ul> </ul> <p><b></b></p> <p></p> <h4><span style="font-weight: 400;"> </span></h4> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <div id="gtx-trans" style="position: absolute; left: 301px; top: 93.4px;"> <div class="gtx-trans-icon"></div> </div>', 'label1' => '詳細', 'info1' => '<h4>MeDIP sequencing services include:</h4> <p></p> <table style="width: 942px;"> <tbody> <tr> <td style="width: 411px;"> <p><span style="font-weight: 400;">QC of the genomic DNA</span></p> </td> <td style="width: 523px;"> <ul> 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null, 'name' => 'Bioinformatics Data Mining Service', 'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2> <center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <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> <p></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; font-size: 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/en/pages/form-bioinfo" class="alert small button" target="_blank">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/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</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 class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. 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<center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <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> <p></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; font-size: 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/en/pages/form-bioinfo" class="alert small button" target="_blank">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/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</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 class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. 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Notice (8): Undefined variable: campaign_id [APP/View/Products/view.ctp, line 755]Code Context<!-- BEGIN: REQUEST_FORM MODAL --><div id="request_formModal" class="reveal-modal medium" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"><?= $this->element('Forms/simple_form', array('solution_of_interest' => $solution_of_interest, 'header' => $header, 'message' => $message, 'campaign_id' => $campaign_id)) ?>$viewFile = '/home/website-server/www/app/View/Products/view.ctp' $dataForView = array( 'language' => 'jp', 'meta_keywords' => 'MeDIP-seq service (Methylated DNA IP Sequencing)', 'meta_description' => 'MeDIP-seq service (Methylated DNA IP Sequencing)', 'meta_title' => 'MeDIP-seq service (Methylated DNA IP Sequencing)', 'product' => array( 'Product' => array( 'id' => '2990', 'antibody_id' => null, 'name' => 'MeDIP-seq (Methylated DNA IP Sequencing) 受託サービス ', 'description' => '<p class="normal" style="text-align: justify; line-height: 150%; background: white;"><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">5mC</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">ゲノム全体の研究に、メチル化</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">DNA</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">免疫沈降シーケンシング（</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">MeDIP-Seq</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">）を行います。このアッセイでは、免疫沈降の際の</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">5-mC</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">に対する特異的抗体を利用して、メチル化</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">DNA</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">領域を捕捉します。免疫沈降画分中のメチル化</span><span lang="EN" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">DNA</span><span lang="FR" style="font-size: 12.0pt; line-height: 150%; font-family: 'Arial Unicode MS'; color: #222222;">の濃縮は、個々の領域のメチル化状態を評価する配列決定によって確定します。</span></p> <p class="normal" style="margin-top: 12.0pt; line-height: 160%;"><span lang="EN" style="font-family: 'Arial Unicode MS'; color: #980000;">DNA</span><span lang="FR" style="font-family: 'Arial Unicode MS'; color: #980000;">メチル化プロファイルの定性分析に優れた方法</span></p> <ul> <ul style="list-style-type: disc;"> <li style="font-weight: 400;">100〜500 bpの解像度</li> <li style="font-weight: 400;">低密度および繰り返し頻度の高い領域での5mCカバレッジ</li> <li 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null, 'name' => 'Bioinformatics Data Mining Service', 'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2> <center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <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> <p></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; font-size: 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/en/pages/form-bioinfo" class="alert small button" target="_blank">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/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</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 class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. 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<center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <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> <p></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; font-size: 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/en/pages/form-bioinfo" class="alert small button" target="_blank">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/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. 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