Here's how BMCBIOINFORMATICS.BIOMEDCENTRAL.COM makes money* and how much!

*Please read our disclaimer before using our estimates.
Loading...

BMCBIOINFORMATICS . BIOMEDCENTRAL . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Bmcbioinformatics.biomedcentral.com Make Money
  6. How Much Does Bmcbioinformatics.biomedcentral.com Make
  7. Keywords
  8. Topics
  9. Schema
  10. Social Networks
  11. External Links
  12. Analytics And Tracking
  13. Libraries

We are analyzing https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-13-s13-s7.

Title:
Identification of markers associated with global changes in DNA methylation regulation in cancers | BMC Bioinformatics | Full Text
Description:
DNA methylation exhibits different patterns in different cancers. DNA methylation rates at different genomic loci appear to be highly correlated in some samples but not in others. We call such phenomena conditional concordant relationships (CCRs). In this study, we explored DNA methylation patterns in 12 common cancers using data of 2434 patient samples collected by The Cancer Genome Atlas project. We developed an exploratory method to characterize CCRs in the methylation data and identified the 200 gene markers whose on-and-off statuses in DNA methylation are most significantly associated with drastic changes in CCRs throughout the genome. Clustering analysis of the methylation data of the 200 markers showed that they are tightly associated with cancer subtypes. We also generated a library of the significant CCRs that may be of interest to future studies of the regulation network of DNA methylation in cancer.
Website Age:
25 years and 11 months (reg. 1999-08-06).

Matching Content Categories {📚}

  • Education
  • Social Networks
  • Science

Content Management System {📝}

What CMS is bmcbioinformatics.biomedcentral.com built with?

Custom-built

No common CMS systems were detected on Bmcbioinformatics.biomedcentral.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of bmcbioinformatics.biomedcentral.com audience?

🚀 Good Traffic: 50k - 100k visitors per month


Based on our best estimate, this website will receive around 53,076 visitors per month in the current month.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Bmcbioinformatics.biomedcentral.com Make Money? {💸}


Display Ads {🎯}


The website utilizes display ads within its content to generate revenue. Check the next section for further revenue estimates.

Ads are managed by yourbow.com. Particular relationships are as follows:

Direct Advertisers (3)
yourbow.com, google.com, doceree.com

How Much Does Bmcbioinformatics.biomedcentral.com Make? {💰}


Display Ads {🎯}

$730 per month
Our calculations suggest that Bmcbioinformatics.biomedcentral.com earns between $488 and $1,342 monthly online from display advertisements.

Keywords {🔍}

methylation, samples, probes, cancer, data, article, correlation, pubmed, dna, google, scholar, clustering, figure, markers, cas, ccrassociated, analysis, ccrs, probe, gene, group, gbm, cancers, patterns, genes, types, esr, groups, size, cluster, central, bmc, bioinformatics, study, status, sample, methylated, number, genome, full, top, genomic, subtypes, expression, type, observed, shows, cpg, information, similar,

Topics {✒️}

springer nature references ballestar state privacy rights conditional mutual information results genomic patterns /~pqiu/projects/tcgamethdata/index efficiently finding genome-wide genome-wide methylation measurements author correspondence high-dimensional cytometry data cluster diagram generated uncover context-dependent relationships introduction cancer-dependent methylation correlation rights results appeared bmc bioinformatics 13 article qiu privacy choices/manage cookies authors scientific editing cancer genome atlas tmem173 expression gene expression data null entries merge results gene-expression signatures protein-dna/rna interactions [6 underlying regulatory network full size image module-module correlation matrices method seeks markers 1186/1471-2105-13-s13-s7 share content information clustering diagram dynamic nature genome-wide identification dna methylation data cell cycle progression downloaded methylation data dna methylation epigenotypes genomic network studies biomed central method data profiling epigenetic alterations genome methylation pattern li zhang van den berg cancer-induced methylation previous research found

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Identification of markers associated with global changes in DNA methylation regulation in cancers
         description:DNA methylation exhibits different patterns in different cancers. DNA methylation rates at different genomic loci appear to be highly correlated in some samples but not in others. We call such phenomena conditional concordant relationships (CCRs). In this study, we explored DNA methylation patterns in 12 common cancers using data of 2434 patient samples collected by The Cancer Genome Atlas project. We developed an exploratory method to characterize CCRs in the methylation data and identified the 200 gene markers whose on-and-off statuses in DNA methylation are most significantly associated with drastic changes in CCRs throughout the genome. Clustering analysis of the methylation data of the 200 markers showed that they are tightly associated with cancer subtypes. We also generated a library of the significant CCRs that may be of interest to future studies of the regulation network of DNA methylation in cancer.
         datePublished:2012-08-24T00:00:00Z
         dateModified:2012-08-24T00:00:00Z
         pageStart:1
         pageEnd:11
         license:http://creativecommons.org/licenses/by/2.0
         sameAs:https://doi.org/10.1186/1471-2105-13-s13-s7
         keywords:
            Methylation Data
            Methylation Rate
            Cluster Diagram
            TMEM173 Expression
            Null Entry
            Bioinformatics
            Microarrays
            Computational Biology/Bioinformatics
            Computer Appl. in Life Sciences
            Algorithms
         image:
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig1_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig2_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig3_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig4_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig5_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig6_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig7_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig8_HTML.jpg
         isPartOf:
            name:BMC Bioinformatics
            issn:
               1471-2105
            volumeNumber:13
            type:
               Periodical
               PublicationVolume
         publisher:
            name:BioMed Central
            logo:
               url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
               type:ImageObject
            type:Organization
         author:
               name:Peng Qiu
               affiliation:
                     name:The University of Texas MD Anderson Cancer Center
                     address:
                        name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Li Zhang
               affiliation:
                     name:The University of Texas MD Anderson Cancer Center
                     address:
                        name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
                        type:PostalAddress
                     type:Organization
               email:[email protected]
               type:Person
         isAccessibleForFree:1
         type:ScholarlyArticle
      context:https://schema.org
ScholarlyArticle:
      headline:Identification of markers associated with global changes in DNA methylation regulation in cancers
      description:DNA methylation exhibits different patterns in different cancers. DNA methylation rates at different genomic loci appear to be highly correlated in some samples but not in others. We call such phenomena conditional concordant relationships (CCRs). In this study, we explored DNA methylation patterns in 12 common cancers using data of 2434 patient samples collected by The Cancer Genome Atlas project. We developed an exploratory method to characterize CCRs in the methylation data and identified the 200 gene markers whose on-and-off statuses in DNA methylation are most significantly associated with drastic changes in CCRs throughout the genome. Clustering analysis of the methylation data of the 200 markers showed that they are tightly associated with cancer subtypes. We also generated a library of the significant CCRs that may be of interest to future studies of the regulation network of DNA methylation in cancer.
      datePublished:2012-08-24T00:00:00Z
      dateModified:2012-08-24T00:00:00Z
      pageStart:1
      pageEnd:11
      license:http://creativecommons.org/licenses/by/2.0
      sameAs:https://doi.org/10.1186/1471-2105-13-s13-s7
      keywords:
         Methylation Data
         Methylation Rate
         Cluster Diagram
         TMEM173 Expression
         Null Entry
         Bioinformatics
         Microarrays
         Computational Biology/Bioinformatics
         Computer Appl. in Life Sciences
         Algorithms
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig1_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig2_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig3_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig4_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig5_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig6_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig7_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-13-s13-s7/MediaObjects/12859_2012_Article_5292_Fig8_HTML.jpg
      isPartOf:
         name:BMC Bioinformatics
         issn:
            1471-2105
         volumeNumber:13
         type:
            Periodical
            PublicationVolume
      publisher:
         name:BioMed Central
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Peng Qiu
            affiliation:
                  name:The University of Texas MD Anderson Cancer Center
                  address:
                     name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Li Zhang
            affiliation:
                  name:The University of Texas MD Anderson Cancer Center
                  address:
                     name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
      isAccessibleForFree:1
["Periodical","PublicationVolume"]:
      name:BMC Bioinformatics
      issn:
         1471-2105
      volumeNumber:13
Organization:
      name:BioMed Central
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:The University of Texas MD Anderson Cancer Center
      address:
         name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
         type:PostalAddress
      name:The University of Texas MD Anderson Cancer Center
      address:
         name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Peng Qiu
      affiliation:
            name:The University of Texas MD Anderson Cancer Center
            address:
               name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
               type:PostalAddress
            type:Organization
      name:Li Zhang
      affiliation:
            name:The University of Texas MD Anderson Cancer Center
            address:
               name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
      name:Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA

Social Networks {👍}(2)

External Links {🔗}(113)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Prism.js

4.16s.