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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Methylated DNA immunoprecipitation sequencing (MeDIP-Seq) is used to study 5-mC genome-wide. In this assay, specific antibodies against 5-mC are used to capture methylated DNA regions using an immunoprecipitation assay. The enrichment of methylated DNA in the immunoprecipitated fraction is determined by sequencing to assess the methylation state of individual regions.
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QC of the genomic DNA |
|
|
Preparation of MeDIP-seq libraries* |
|
|
Deep sequencing |
|
*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 |
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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. 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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. In order to achieve this, we offer biological interpretation services and pathway mining analyses for your data.</p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label1' => 'Data mining modules ', 'info1' => '<ol> <li><strong>Feasibility study</strong></li> </ol> <ul> <li>Assessment of data characteristics and <span></span>applicability of different machine learning (ML)</li> <li>Prototypic analyses:</li> <li>Initial feasibility report</li> </ul> <p></p> <ol start="2"> <li><strong>Data Mining</strong></li> </ol> <ul> <li>Machine learning on data</li> <li>Data evaluation and validation</li> <li>Report generation</li> </ul> <p> </p> <ol start="3"> <li><strong>Data Interpretation</strong></li> </ol> <ul> <li>Integration of background knowledge</li> <li>Functional interpretation / pathway mining</li> <li>Scientific reporting</li> </ul> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label2' => 'Integration with wet lab services and bioinformatics', 'info2' => '<p>A clear advantage of <strong>Diagenode’s data mining services</strong> is the close connection with<span> </span>other service offerings like <strong>wet lab analysis services</strong> and <strong>bioinformatics services</strong>. 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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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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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(SA)</option><option value="SH">Schleswig-Holstein (SH)</option><option value="TH">Thüringen</option></select>'); $("#Quote-3022 #state-3022").parent().parent().show(); } else { $("#Quote-3022 #state-3022").parent().parent().hide(); $("#Quote-3022 #state-3022").replaceWith('<input name="data[Quote][state]" maxlength="255" type="text" id="state-3022" value="">'); } }); </script> <a class="close-reveal-modal" aria-label="Close">×</a></div><!-- END: QUOTE MODAL --><a href="#" id="data-mining-service" data-reveal-id="quoteModal-3022" class="quote_btn" style="color:#B21329"><i class="fa fa-info-circle"></i></a> </div> </div> <div class="small-12 columns" > <h6 style="height:60px">Bioinformatics Data Mining Service</h6> </div> </div> </li> ' $related = array( 'id' => '3022', 'antibody_id' => 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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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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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. 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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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Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p> </div> </div> <form action="/en/quotes/quote?id=3022" id="Quote-3022" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="3022" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="TzRYa09MSlJRSmlNdTJ5SnptbmV2UT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="data-mining-service" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/> <div class="row collapse"> <h2>Contact Information</h2> <div class="small-3 large-2 columns"> <span class="prefix">First name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][first_name]" placeholder="john" maxlength="255" type="text" id="QuoteFirstName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Last name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][last_name]" placeholder="doe" maxlength="255" type="text" id="QuoteLastName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][company]" placeholder="Organisation / Institute" maxlength="255" type="text" id="QuoteCompany" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Phone number</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][phone_number]" placeholder="+1 862 209-4680" maxlength="255" type="text" id="QuotePhoneNumber"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">City</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][city]" placeholder="Denville" maxlength="255" type="text" id="QuoteCity"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Country <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <select name="data[Quote][country]" required="required" class="triggers" id="country_selector_quote-3022"> <option value="">-- select a country --</option> <option value="AF">Afghanistan</option> <option value="AX">Åland Islands</option> <option value="AL">Albania</option> <option value="DZ">Algeria</option> <option value="AS">American Samoa</option> <option value="AD">Andorra</option> <option 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value="CU">Cuba</option> <option value="CW">Curaçao</option> <option value="CY">Cyprus</option> <option value="CZ">Czech Republic</option> <option value="DK">Denmark</option> <option value="DJ">Djibouti</option> <option value="DM">Dominica</option> <option value="DO">Dominican Republic</option> <option value="EC">Ecuador</option> <option value="EG">Egypt</option> <option value="SV">El Salvador</option> <option value="GQ">Equatorial Guinea</option> <option value="ER">Eritrea</option> <option value="EE">Estonia</option> <option value="ET">Ethiopia</option> <option value="FK">Falkland Islands (Malvinas)</option> <option value="FO">Faroe Islands</option> <option value="FJ">Fiji</option> <option value="FI">Finland</option> <option value="FR">France</option> <option value="GF">French Guiana</option> <option value="PF">French Polynesia</option> <option value="TF">French Southern Territories</option> <option value="GA">Gabon</option> <option value="GM">Gambia</option> <option 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id="QuoteComment"></textarea> </div> </div> <!------------SERVICES PARTICULAR FORM START----------------> <!------------DATA TO POPULATE REGARDING SPECIFIC SERVICES-----> <div class="row collapse"> <div class="small-3 large-2 columns"> </div> <div class="small-9 large-10 columns"> <div class="recaptcha"><div id="recaptcha6740133c147f9"></div></div> </div> </div> <br /> <div class="row collapse"> <div class="small-3 large-2 columns"> </div> <div class="small-9 large-10 columns"> <button id="submit_btn-3022" class="alert button expand" form="Quote-3022" type="submit">Contact me</button> </div> </div> </form><script> var pardotFormHandlerURL = 'https://go.diagenode.com/l/928883/2022-10-10/36b1c'; function postToPardot(formAction, id) { $('#pardot-form-handler').load(function(){ $('#Quote-' + id).attr('action', formAction); $('#Quote-' + id).submit(); }); $('#pardot-form-handler').attr('src', pardotFormHandlerURL + '?' + $('#Quote-' + id).serialize()); } $(document).ready(function() { 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(SA)</option><option value="SH">Schleswig-Holstein (SH)</option><option value="TH">Thüringen</option></select>'); $("#Quote-3022 #state-3022").parent().parent().show(); } else { $("#Quote-3022 #state-3022").parent().parent().hide(); $("#Quote-3022 #state-3022").replaceWith('<input name="data[Quote][state]" maxlength="255" type="text" id="state-3022" value="">'); } }); </script> <a class="close-reveal-modal" aria-label="Close">×</a></div><!-- END: QUOTE MODAL --><a href="#" id="data-mining-service" data-reveal-id="quoteModal-3022" class="quote_btn" style="color:#B21329"><i class="fa fa-info-circle"></i></a> </div> </div> <div class="small-12 columns" > <h6 style="height:60px">Bioinformatics Data Mining Service</h6> </div> </div> </li> ' $related = array( 'id' => '3022', 'antibody_id' => 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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