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A web service wrapped around our previously published algorithm EXPLoRA, which exploits linkage disequilibrium (LD) to increase the power and accuracy of quantitative trait loci identification in bulk segregant analysis (BSA). EXPLoRA-web enables easy data upload and parallel processing of different parameter configurations.

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EXPLoRA-web classification

EXPLoRA-web specifications

Software type:
Package
Restrictions to use:
None
Computer skills:
Medium
Interface:
Web service
Programming languages:
Java
Stability:
Stable

Credits

Publications

  • (Pulido-Tamayo et al., 2016) EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis. Nucleic Acids Research.
    PMID: 27105844

Institution(s)

Department of Information Technology, iGent Toren, Gent, Belgium; Department of Plant Biotechnology and Bioinformatics, UGent, Gent, Belgium; Bioinformatics Institute Ghent, Gent, Belgium; Department of Microbial and Molecular Systems, KU Leuven, Leuven, Belgium; Agrobiodiversity Research Area, International Center for Tropical Agriculture, Cali, Colombia; Department of Genetics, University of Pretoria, Hatfield Campus, Pretoria, South Africa

Funding source(s)

This work was supported by the Ghent University Multidisciplinary Research Partnership ‘Bioinformatics: from nucleotides to networks’, the Fonds Wetenschappelijk Onderzoek-Vlaanderen (grants n°G.0329.09, 3G042813, G.0A53.15N), the Agentschap voor Innovatie door Wetenschap en Technologie (NEMOA), the Katholieke Universiteit Leuven (PF/10/010) and the International Center for Tropical Agriculture.

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