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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Schema
  9. External Links
  10. Analytics And Tracking
  11. Libraries
  12. CDN Services

We are analyzing https://link.springer.com/article/10.1186/1471-2164-10-98.

Title:
SiPaGene: A new repository for instant online retrieval, sharing and meta-analyses of GeneChip® expression data | BMC Genomics
Description:
Background Microarray expression profiling is becoming a routine technology for medical research and generates enormous amounts of data. However, reanalysis of public data and comparison with own results is laborious. Although many different tools exist, there is a need for more convenience and online analysis with restriction of access and user specific sharing options. Furthermore, most of the currently existing tools do not use the whole range of statistical power provided by the MAS5.0/GCOS algorithms. Description With a current focus on immunology, infection, inflammation, tissue regeneration and cancer we developed a database platform that can load preprocessed Affymetrix GeneChip expression data for immediate access. Group or subgroup comparisons can be calculated online, retrieved for candidate genes, transcriptional activity in various biological conditions and compared with different experiments. The system is based on Oracle 9i with algorithms in java and graphical user interfaces implemented as java servlets. Signals, detection calls, signal log ratios, change calls and corresponding p-values were calculated with MAS5.0/GCOS algorithms. MIAME information and gene annotations are provided via links to GEO and EntrezGene. Users access via https protocol their own, shared or public data. Sharing is comparison- and user-specific with different levels of rights. Arrays for group comparisons can be selected individually. Twenty-two different group comparison parameters can be applied in user-defined combinations on single or multiple group comparisons. Identified genes can be reviewed online or downloaded. Optimized selection criteria were developed and reliability was demonstrated with the "Latin Square" data set. Currently more than 1,000 arrays, 10,000 pairwise comparisons and 500 group comparisons are presented with public or restricted access by different research networks or individual users. Conclusion SiPaGene is a repository and a high quality tool for primary analysis of GeneChips. It exploits the MAS5.0/GCOS pairwise comparison algorithm, enables restricted access and user specific sharing. It does not aim for a complete representation of all public arrays but for high quality analysis with stepwise integration of reference signatures for detailed meta-analyses. Development of additional tools like functional annotation networks based on expression information will be future steps towards a systematic biological analysis of expression profiles.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Science
  • Social Networks

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

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

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 7,626,432 visitors per month in the current month.

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How Does Link.springer.com Make Money? {💸}

We see no obvious way the site makes money.

The purpose of some websites isn't monetary gain; they're meant to inform, educate, or foster collaboration. Everyone has unique reasons for building websites. This could be an example. Link.springer.com could be getting rich in stealth mode, or the way it's monetizing isn't detectable.

Keywords {🔍}

data, group, comparisons, comparison, information, arrays, probe, expression, analysis, article, access, set, array, pubmed, database, gene, google, scholar, sipagene, sharing, experiment, tools, pairwise, sets, public, number, experiments, genes, based, parameters, positives, signal, user, affymetrix, latin, square, cas, genechip, identified, figure, query, true, central, table, sam, calls, dchip, microarray, individual, software,

Topics {✒️}

genome-wide transcription profile article download pdf learn professional pre-processing /support/technical/whitepapers/sadd_whitepaper transcript affx-r2-tage_at full text search /support/technical/sample_data/datasets related subjects explore candidate genes disease profiling data dna-chip analyzer dchip open access data gene ontology annotations define expression-based annotations gene-specific standardization related raw data cobra preprint series bolstad bm german federal ministry integrated data-mining platform privacy choices/manage cookies coagulase-positive graphical user interfaces andreas grützkau & andreas radbruch gene expression omnibus dna-chip analyzer gene expression profiles latin square dataset minimize false discovery genechip® expression data gene expression data affx-r2-tage_at slr based t-tests gene expression analysis international genomics consortium false discovery rates authors’ original file latin square data current profiling experiments latin square group user-specific queries immediately previous sharing level high statistical variation pedant genome database affymetrix genechip data entrez gene entries affx-r2-tagh_at support vector machines thomas häupl latin square format

Schema {🗺️}

WebPage:
      mainEntity:
         headline:SiPaGene: A new repository for instant online retrieval, sharing and meta-analyses of GeneChip® expression data
         description:Microarray expression profiling is becoming a routine technology for medical research and generates enormous amounts of data. However, reanalysis of public data and comparison with own results is laborious. Although many different tools exist, there is a need for more convenience and online analysis with restriction of access and user specific sharing options. Furthermore, most of the currently existing tools do not use the whole range of statistical power provided by the MAS5.0/GCOS algorithms. With a current focus on immunology, infection, inflammation, tissue regeneration and cancer we developed a database platform that can load preprocessed Affymetrix GeneChip expression data for immediate access. Group or subgroup comparisons can be calculated online, retrieved for candidate genes, transcriptional activity in various biological conditions and compared with different experiments. The system is based on Oracle 9i with algorithms in java and graphical user interfaces implemented as java servlets. Signals, detection calls, signal log ratios, change calls and corresponding p-values were calculated with MAS5.0/GCOS algorithms. MIAME information and gene annotations are provided via links to GEO and EntrezGene. Users access via https protocol their own, shared or public data. Sharing is comparison- and user-specific with different levels of rights. Arrays for group comparisons can be selected individually. Twenty-two different group comparison parameters can be applied in user-defined combinations on single or multiple group comparisons. Identified genes can be reviewed online or downloaded. Optimized selection criteria were developed and reliability was demonstrated with the "Latin Square" data set. Currently more than 1,000 arrays, 10,000 pairwise comparisons and 500 group comparisons are presented with public or restricted access by different research networks or individual users. SiPaGene is a repository and a high quality tool for primary analysis of GeneChips. It exploits the MAS5.0/GCOS pairwise comparison algorithm, enables restricted access and user specific sharing. It does not aim for a complete representation of all public arrays but for high quality analysis with stepwise integration of reference signatures for detailed meta-analyses. Development of additional tools like functional annotation networks based on expression information will be future steps towards a systematic biological analysis of expression profiles.
         datePublished:2009-03-05T00:00:00Z
         dateModified:2009-03-05T00:00:00Z
         pageStart:1
         pageEnd:13
         license:http://creativecommons.org/licenses/by/2.0
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            Baseline Group
            Multiple Group Comparison
            Query Parameter
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            Life Sciences
            general
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            Proteomics
            Animal Genetics and Genomics
            Microbial Genetics and Genomics
            Plant Genetics and Genomics
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                     address:
                        name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
                        type:PostalAddress
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                        type:PostalAddress
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               affiliation:
                     name:German Arthritis Research Center (DRFZ)
                     address:
                        name:German Arthritis Research Center (DRFZ), Berlin, Germany
                        type:PostalAddress
                     type:Organization
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               name:Andreas Grützkau
               affiliation:
                     name:German Arthritis Research Center (DRFZ)
                     address:
                        name:German Arthritis Research Center (DRFZ), Berlin, Germany
                        type:PostalAddress
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                     name:German Arthritis Research Center (DRFZ)
                     address:
                        name:German Arthritis Research Center (DRFZ), Berlin, Germany
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Gerd-R Burmester
               affiliation:
                     name:Charité University Hospital
                     address:
                        name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Thomas Häupl
               affiliation:
                     name:Charité University Hospital
                     address:
                        name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
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      headline:SiPaGene: A new repository for instant online retrieval, sharing and meta-analyses of GeneChip® expression data
      description:Microarray expression profiling is becoming a routine technology for medical research and generates enormous amounts of data. However, reanalysis of public data and comparison with own results is laborious. Although many different tools exist, there is a need for more convenience and online analysis with restriction of access and user specific sharing options. Furthermore, most of the currently existing tools do not use the whole range of statistical power provided by the MAS5.0/GCOS algorithms. With a current focus on immunology, infection, inflammation, tissue regeneration and cancer we developed a database platform that can load preprocessed Affymetrix GeneChip expression data for immediate access. Group or subgroup comparisons can be calculated online, retrieved for candidate genes, transcriptional activity in various biological conditions and compared with different experiments. The system is based on Oracle 9i with algorithms in java and graphical user interfaces implemented as java servlets. Signals, detection calls, signal log ratios, change calls and corresponding p-values were calculated with MAS5.0/GCOS algorithms. MIAME information and gene annotations are provided via links to GEO and EntrezGene. Users access via https protocol their own, shared or public data. Sharing is comparison- and user-specific with different levels of rights. Arrays for group comparisons can be selected individually. Twenty-two different group comparison parameters can be applied in user-defined combinations on single or multiple group comparisons. Identified genes can be reviewed online or downloaded. Optimized selection criteria were developed and reliability was demonstrated with the "Latin Square" data set. Currently more than 1,000 arrays, 10,000 pairwise comparisons and 500 group comparisons are presented with public or restricted access by different research networks or individual users. SiPaGene is a repository and a high quality tool for primary analysis of GeneChips. It exploits the MAS5.0/GCOS pairwise comparison algorithm, enables restricted access and user specific sharing. It does not aim for a complete representation of all public arrays but for high quality analysis with stepwise integration of reference signatures for detailed meta-analyses. Development of additional tools like functional annotation networks based on expression information will be future steps towards a systematic biological analysis of expression profiles.
      datePublished:2009-03-05T00:00:00Z
      dateModified:2009-03-05T00:00:00Z
      pageStart:1
      pageEnd:13
      license:http://creativecommons.org/licenses/by/2.0
      sameAs:https://doi.org/10.1186/1471-2164-10-98
      keywords:
         Group Comparison
         Baseline Group
         Multiple Group Comparison
         Query Parameter
         Baseline Array
         Life Sciences
         general
         Microarrays
         Proteomics
         Animal Genetics and Genomics
         Microbial Genetics and Genomics
         Plant Genetics and Genomics
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         name:BioMed Central
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            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
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      author:
            name:Adriane Menßen
            affiliation:
                  name:Charité University Hospital
                  address:
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                     type:PostalAddress
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            email:[email protected]
            type:Person
            name:Götz Edinger
            affiliation:
                  name:Charité University Hospital
                  address:
                     name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Joachim R Grün
            affiliation:
                  name:German Arthritis Research Center (DRFZ)
                  address:
                     name:German Arthritis Research Center (DRFZ), Berlin, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Ulrike Haase
            affiliation:
                  name:Charité University Hospital
                  address:
                     name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Ria Baumgrass
            affiliation:
                  name:German Arthritis Research Center (DRFZ)
                  address:
                     name:German Arthritis Research Center (DRFZ), Berlin, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Andreas Grützkau
            affiliation:
                  name:German Arthritis Research Center (DRFZ)
                  address:
                     name:German Arthritis Research Center (DRFZ), Berlin, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Andreas Radbruch
            affiliation:
                  name:German Arthritis Research Center (DRFZ)
                  address:
                     name:German Arthritis Research Center (DRFZ), Berlin, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Gerd-R Burmester
            affiliation:
                  name:Charité University Hospital
                  address:
                     name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Thomas Häupl
            affiliation:
                  name:Charité University Hospital
                  address:
                     name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
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      name:BioMed Central
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      name:Charité University Hospital
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         name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
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      address:
         name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
         type:PostalAddress
      name:German Arthritis Research Center (DRFZ)
      address:
         name:German Arthritis Research Center (DRFZ), Berlin, Germany
         type:PostalAddress
      name:Charité University Hospital
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         name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
         type:PostalAddress
      name:German Arthritis Research Center (DRFZ)
      address:
         name:German Arthritis Research Center (DRFZ), Berlin, Germany
         type:PostalAddress
      name:German Arthritis Research Center (DRFZ)
      address:
         name:German Arthritis Research Center (DRFZ), Berlin, Germany
         type:PostalAddress
      name:German Arthritis Research Center (DRFZ)
      address:
         name:German Arthritis Research Center (DRFZ), Berlin, Germany
         type:PostalAddress
      name:Charité University Hospital
      address:
         name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
         type:PostalAddress
      name:Charité University Hospital
      address:
         name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Adriane Menßen
      affiliation:
            name:Charité University Hospital
            address:
               name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Götz Edinger
      affiliation:
            name:Charité University Hospital
            address:
               name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
               type:PostalAddress
            type:Organization
      name:Joachim R Grün
      affiliation:
            name:German Arthritis Research Center (DRFZ)
            address:
               name:German Arthritis Research Center (DRFZ), Berlin, Germany
               type:PostalAddress
            type:Organization
      name:Ulrike Haase
      affiliation:
            name:Charité University Hospital
            address:
               name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
               type:PostalAddress
            type:Organization
      name:Ria Baumgrass
      affiliation:
            name:German Arthritis Research Center (DRFZ)
            address:
               name:German Arthritis Research Center (DRFZ), Berlin, Germany
               type:PostalAddress
            type:Organization
      name:Andreas Grützkau
      affiliation:
            name:German Arthritis Research Center (DRFZ)
            address:
               name:German Arthritis Research Center (DRFZ), Berlin, Germany
               type:PostalAddress
            type:Organization
      name:Andreas Radbruch
      affiliation:
            name:German Arthritis Research Center (DRFZ)
            address:
               name:German Arthritis Research Center (DRFZ), Berlin, Germany
               type:PostalAddress
            type:Organization
      name:Gerd-R Burmester
      affiliation:
            name:Charité University Hospital
            address:
               name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
               type:PostalAddress
            type:Organization
      name:Thomas Häupl
      affiliation:
            name:Charité University Hospital
            address:
               name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
      name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
      name:German Arthritis Research Center (DRFZ), Berlin, Germany
      name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
      name:German Arthritis Research Center (DRFZ), Berlin, Germany
      name:German Arthritis Research Center (DRFZ), Berlin, Germany
      name:German Arthritis Research Center (DRFZ), Berlin, Germany
      name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany
      name:Department of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany

External Links {🔗}(143)

Analytics and Tracking {📊}

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Libraries {📚}

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  • Crossref

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