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Data Mining Techniques for the Life Sciences pp 257–267Cite as

Integrated Tools for Biomolecular Sequence-Based Function Prediction as Exemplified by the ANNOTATOR Software Environment

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 609))

Abstract

Given the amount of sequence data available today, in silico function prediction, which often includes detecting distant evolutionary relationships, requires sophisticated bioinformatic workflows. The algorithms behind these workflows exhibit complex data structures; they need the ability to spawn subtasks and tend to demand large amounts of resources. Performing sequence analytic tasks by manually invoking individual function prediction algorithms having to transform between differing input and output formats has become increasingly obsolete. After a period of linking individual predictors using ad hoc scripts, a number of integrated platforms are finally emerging. We present the ANNOTATOR software environment as an advanced example of such a platform.

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Author information

Authors and Affiliations

  1. Bioinformatics Institute (BII), Agency for Science, Technology, and Research(A*STAR), Singapore, Singapore

    Georg Schneider, Fernanda L. Sirota, Sebastian Maurer-Stroh & Frank Eisenhaber

  2. Google Switzerland GmbH, Zürich, Switzerland

    Michael Wildpaner

  3. Experimental Therapeutic Centre (ETC), Bioinformatics Institute (BII),Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore

    Birgit Eisenhaber

Authors
  1. Georg Schneider
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  2. Michael Wildpaner
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  3. Fernanda L. Sirota
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  4. Sebastian Maurer-Stroh
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  5. Birgit Eisenhaber
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  6. Frank Eisenhaber
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Editors and Affiliations

  1. Max F. Perutz Laboratories GmbH, Universität Wien, Dr. Bohr-Gasse 9, Wien, 1030, Austria

    Oliviero Carugo

  2. Research (A*STAR), Agency for Science & Technology, Biopolis Street 30, Singapore, 138671, Singapore

    Frank Eisenhaber

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Schneider, G., Wildpaner, M., Sirota, F.L., Maurer-Stroh, S., Eisenhaber, B., Eisenhaber, F. (2010). Integrated Tools for Biomolecular Sequence-Based Function Prediction as Exemplified by the ANNOTATOR Software Environment. In: Carugo, O., Eisenhaber, F. (eds) Data Mining Techniques for the Life Sciences. Methods in Molecular Biology, vol 609. Humana Press. https://doi.org/10.1007/978-1-60327-241-4_15

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  • DOI: https://doi.org/10.1007/978-1-60327-241-4_15

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