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An Integrated Approach for Microprotein Identification and Sequence Analysis
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Bio-TDS: bioscience query tool discovery system.

Etienne Z Gnimpieba1,2, Menno S VanDiermen3, Shayla M Gustafson3

  • 1Biomedical Engineering Department, University of South Dakota, 4800 North Career Ave, Sioux Falls, SD 57107, USA Etienne.Gnimpieba@usd.edu.

Nucleic Acids Research
|December 8, 2016
PubMed
Summary
This summary is machine-generated.

Bioinformatics tools are essential for bioscience research. The Bio-TDS (Bioscience Query Tool Discovery Systems) helps researchers find relevant analytic tools for biological data analysis using natural language queries.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Bioscience Research

Background:

  • Bioinformatics and computational biology are vital for bioscience and biomedical research.
  • A key challenge for researchers is identifying appropriate bioinformatics toolkits for data analysis and knowledge discovery.

Purpose of the Study:

  • To introduce the Bio-TDS (Bioscience Query Tool Discovery Systems) as a solution for retrieving relevant bioinformatics tools.
  • To enable researchers to query over 12,000 analytic tool descriptions using free-text natural language questions.

Main Methods:

  • Developed the Bio-TDS system utilizing an ontology and natural language processing workflow.
  • Integrated over 12,000 analytic tool descriptions from community repositories.
  • Evaluated Bio-TDS performance using sample research questions from Biostars.

Main Results:

  • The Bio-TDS system allows users from diverse bioscience domains (genomic, proteomic, bio-imaging) to query tool descriptions.
  • Compared to five similar systems, Bio-TDS demonstrated superior relevance and completeness in retrieving analytic tools.
  • The system facilitates associating bioscience questions with the most suitable computational toolsets.

Conclusions:

  • Bio-TDS effectively assists researchers in discovering relevant bioinformatics tools for their data analysis needs.
  • The system enhances knowledge discovery by connecting research questions with appropriate computational toolsets.