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  2. Matching Content Categories
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  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
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We are analyzing https://link.springer.com/article/10.1186/1471-2105-14-s3-s7.

Title:
Homology-based inference sets the bar high for protein function prediction | BMC Bioinformatics
Description:
Background Any method that de novo predicts protein function should do better than random. More challenging, it also ought to outperform simple homology-based inference. Methods Here, we describe a few methods that predict protein function exclusively through homology. Together, they set the bar or lower limit for future improvements. Results and conclusions During the development of these methods, we faced two surprises. Firstly, our most successful implementation for the baseline ranked very high at CAFA1. In fact, our best combination of homology-based methods fared only slightly worse than the top-of-the-line prediction method from the Jones group. Secondly, although the concept of homology-based inference is simple, this work revealed that the precise details of the implementation are crucial: not only did the methods span from top to bottom performers at CAFA, but also the reasons for these differences were unexpected. In this work, we also propose a new rigorous measure to compare predicted and experimental annotations. It puts more emphasis on the details of protein function than the other measures employed by CAFA and may best reflect the expectations of users. Clearly, the definition of proper goals remains one major objective for CAFA.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Insurance
  • TV

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 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {💸}

The income method remains a mystery to us.

Some websites aren't about earning revenue; they're built to connect communities or raise awareness. There are numerous motivations behind creating websites. This might be one of them. Link.springer.com might be making money, but it's not detectable how they're doing it.

Keywords {🔍}

methods, terms, cafa, threshold, measure, leaf, term, protein, prediction, function, score, method, priors, annotations, predicted, set, top, article, psiblast, figure, proteins, recall, experimental, hits, pubmed, annotation, data, predictions, bpo, precision, blast, performance, google, scholar, measures, mfo, leaves, swissprot, homologybased, number, postcafa, gotcha, reliability, target, inference, baseline, scores, table, studenta, ontology,

Topics {✒️}

biological process ontology marti-renom ma florian auer rule-based protein annotator homology-based inference sets /bmcbioinformatics/supplements/14/s3 simple homology-based inference biological process membrane protein structure open access article article number s7 functional keywords diverse nearest-neighbor methods k-nearest-neighbor approach basic homology-inference methods maintaining excellent databases article download pdf homology-based methods fared meta classifier [13] single-function aldolase enzyme returned psi-blast e-values homology-based inference predict protein function homology-based method ranks author information authors post-cafa parameter optimization full size image random swiss-prot protein nearest-neighbor principles protein function assessed optimization process protein function prediction protein function prediction typical swiss-prot annotations multiple psi-blast hits privacy choices/manage cookies entire psi-blast query imply high accuracy/precision nucleic acids research artificial intelligence research homology-based methods homology-based predictors molecular function ontology post-cafa optimization baseline background full size table universal protein resource author correspondence cellular component ontology top psi-blast hits

Questions {❓}

  • Edu/viewdoc/summary?

Schema {🗺️}

WebPage:
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         headline:Homology-based inference sets the bar high for protein function prediction
         description:Any method that de novo predicts protein function should do better than random. More challenging, it also ought to outperform simple homology-based inference. Here, we describe a few methods that predict protein function exclusively through homology. Together, they set the bar or lower limit for future improvements. During the development of these methods, we faced two surprises. Firstly, our most successful implementation for the baseline ranked very high at CAFA1. In fact, our best combination of homology-based methods fared only slightly worse than the top-of-the-line prediction method from the Jones group. Secondly, although the concept of homology-based inference is simple, this work revealed that the precise details of the implementation are crucial: not only did the methods span from top to bottom performers at CAFA, but also the reasons for these differences were unexpected. In this work, we also propose a new rigorous measure to compare predicted and experimental annotations. It puts more emphasis on the details of protein function than the other measures employed by CAFA and may best reflect the expectations of users. Clearly, the definition of proper goals remains one major objective for CAFA.
         datePublished:2013-02-28T00:00:00Z
         dateModified:2013-02-28T00:00:00Z
         pageStart:1
         pageEnd:10
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         keywords:
            Threshold Measure
            Experimental Annotation
            Predict Protein Function
            Biological Process Ontology
            Baseline Classifier
            Bioinformatics
            Microarrays
            Computational Biology/Bioinformatics
            Computer Appl. in Life Sciences
            Algorithms
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                        name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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                        name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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                     address:
                        name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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                     address:
                        name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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                        type:PostalAddress
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                     name:New York Consortium on Membrane Protein Structure (NYCOMPS) & Department of Biochemistry and Molecular Biophysics Columbia University
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ScholarlyArticle:
      headline:Homology-based inference sets the bar high for protein function prediction
      description:Any method that de novo predicts protein function should do better than random. More challenging, it also ought to outperform simple homology-based inference. Here, we describe a few methods that predict protein function exclusively through homology. Together, they set the bar or lower limit for future improvements. During the development of these methods, we faced two surprises. Firstly, our most successful implementation for the baseline ranked very high at CAFA1. In fact, our best combination of homology-based methods fared only slightly worse than the top-of-the-line prediction method from the Jones group. Secondly, although the concept of homology-based inference is simple, this work revealed that the precise details of the implementation are crucial: not only did the methods span from top to bottom performers at CAFA, but also the reasons for these differences were unexpected. In this work, we also propose a new rigorous measure to compare predicted and experimental annotations. It puts more emphasis on the details of protein function than the other measures employed by CAFA and may best reflect the expectations of users. Clearly, the definition of proper goals remains one major objective for CAFA.
      datePublished:2013-02-28T00:00:00Z
      dateModified:2013-02-28T00:00:00Z
      pageStart:1
      pageEnd:10
      license:https://creativecommons.org/licenses/by/2.0
      sameAs:https://doi.org/10.1186/1471-2105-14-S3-S7
      keywords:
         Threshold Measure
         Experimental Annotation
         Predict Protein Function
         Biological Process Ontology
         Baseline Classifier
         Bioinformatics
         Microarrays
         Computational Biology/Bioinformatics
         Computer Appl. in Life Sciences
         Algorithms
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2105-14-S3-S7/MediaObjects/12859_2013_Article_5696_Fig2_HTML.jpg
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      isPartOf:
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         issn:
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            PublicationVolume
      publisher:
         name:BioMed Central
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Tobias Hamp
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Rebecca Kassner
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Stefan Seemayer
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Esmeralda Vicedo
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Christian Schaefer
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
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            type:Person
            name:Dominik Achten
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Ariane Boehm
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Tatjana Braun
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Maximilian Hecht
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Mark Heron
            affiliation:
                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Peter Hönigschmid
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                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Thomas A Hopf
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                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
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            name:Stefanie Kaufmann
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                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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            name:Denis Krompass
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                  name:TUM, Department of Informatics, Bioinformatics & Computational Biology
                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
                     type:PostalAddress
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            name:Yannick Mahlich
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                  address:
                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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                     name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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                  name:New York Consortium on Membrane Protein Structure (NYCOMPS) & Department of Biochemistry and Molecular Biophysics Columbia University
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         name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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         name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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         name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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         name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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         name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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         name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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      name:TUM, Department of Informatics, Bioinformatics & Computational Biology
      address:
         name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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      address:
         name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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      name:TUM, Department of Informatics, Bioinformatics & Computational Biology
      address:
         name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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            address:
               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
               type:PostalAddress
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            name:TUM, Department of Informatics, Bioinformatics & Computational Biology
            address:
               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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            address:
               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
               type:PostalAddress
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            name:TUM, Department of Informatics, Bioinformatics & Computational Biology
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            address:
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               type:PostalAddress
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            name:TUM, Department of Informatics, Bioinformatics & Computational Biology
            address:
               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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            name:TUM, Department of Informatics, Bioinformatics & Computational Biology
            address:
               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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            address:
               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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            name:TUM, Department of Informatics, Bioinformatics & Computational Biology
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            address:
               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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            name:TUM, Department of Informatics, Bioinformatics & Computational Biology
            address:
               name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
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            name:New York Consortium on Membrane Protein Structure (NYCOMPS) & Department of Biochemistry and Molecular Biophysics Columbia University
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      email:[email protected]
PostalAddress:
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:TUM, Department of Informatics, Bioinformatics & Computational Biology, Garching/Munich, Germany
      name:Institute of Advanced Study (TUM-IAS) Lichtenbergstr. 2a, Garching/Munich, Germany
      name:New York Consortium on Membrane Protein Structure (NYCOMPS) & Department of Biochemistry and Molecular Biophysics Columbia University, New York, USA

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