PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations

Jaroslav Bendl; Jan Stourac; Ondrej Salanda; Antonin Pavelka; Eric D. Wieben; Jaroslav Zendulka; Jan Brezovsky; Jiri Damborsky

doi:10.1371/journal.pcbi.1003440

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Open Access

Peer-reviewed

Research Article

PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations

Jaroslav Bendl,

Affiliations Loschmidt Laboratories, Department of Experimental Biology and Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Brno, Czech Republic, Department of Information Systems, Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic, Center of Biomolecular and Cellular Engineering, International Centre for Clinical Research, St. Anne's University Hospital Brno, Brno, Czech Republic
⨯
Jan Stourac,

Affiliations Loschmidt Laboratories, Department of Experimental Biology and Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Brno, Czech Republic, Center of Biomolecular and Cellular Engineering, International Centre for Clinical Research, St. Anne's University Hospital Brno, Brno, Czech Republic
⨯
Ondrej Salanda,

Affiliation Department of Information Systems, Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic
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Antonin Pavelka,

Current address: Human-Computer Interaction Laboratory, Department of Computer Graphics and Design, Faculty of Informatics, Masaryk University, Brno, Czech Republic.

Affiliation Loschmidt Laboratories, Department of Experimental Biology and Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Brno, Czech Republic
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Eric D. Wieben,

Affiliation Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, New York, United States of America
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Jaroslav Zendulka,

Affiliation Department of Information Systems, Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic
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Jan Brezovsky ,

* E-mail: briza@chemi.muni.cz (JB); jiri@chemi.muni.cz (JD)

Affiliation Loschmidt Laboratories, Department of Experimental Biology and Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Brno, Czech Republic
⨯
Jiri Damborsky

* E-mail: briza@chemi.muni.cz (JB); jiri@chemi.muni.cz (JD)

Affiliations Loschmidt Laboratories, Department of Experimental Biology and Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Brno, Czech Republic, Center of Biomolecular and Cellular Engineering, International Centre for Clinical Research, St. Anne's University Hospital Brno, Brno, Czech Republic
⨯

PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations

Jaroslav Bendl,
Jan Stourac,
Ondrej Salanda,
Antonin Pavelka,
Eric D. Wieben,
Jaroslav Zendulka,
Jan Brezovsky,
Jiri Damborsky

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Published: January 16, 2014
https://doi.org/10.1371/journal.pcbi.1003440

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Mutation databases
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Point mutation
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Deletion mutation
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Web-based applications
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Sequence alignment
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Machine learning
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