Journal
NUCLEIC ACIDS RESEARCH
Volume 44, Issue W1, Pages W142-W146Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkw298
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Funding
- Ghent University Multidisciplinary Research Partnership 'Bioinformatics: from nucleotides to networks'
- Fonds Wetenschappelijk Onderzoek-Vlaanderen (FWO) [G.0329.09, 3G042813, G.0A53.15N]
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT)
- Katholieke Universiteit Leuven [PF/10/010]
- International Center for Tropical Agriculture (CIAT)
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Identification of genomic regions associated with a phenotype of interest is a fundamental step toward solving questions in biology and improving industrial research. Bulk segregant analysis (BSA) combined with high-throughput sequencing is a technique to efficiently identify these genomic regions associated with a trait of interest. However, distinguishing true from spuriously linked genomic regions and accurately delineating the genomic positions of these truly linked regions requires the use of complex statistical models currently implemented in software tools that are generally difficult to operate for non-expert users. To facilitate the exploration and analysis of data generated by bulked segregant analysis, we present EXPLoRA-web, a web service wrapped around our previously published algorithm EXPLoRA, which exploits linkage disequilibrium to increase the power and accuracy of quantitative trait loci identification in BSA analysis. EXPLoRA-web provides a user friendly interface that enables easy data upload and parallel processing of different parameter configurations. Results are provided graphically and as BED file and/or text file and the input is expected in widely used formats, enabling straightforward BSA data analysis. The web server is available at http://bioinformatics.intec.ugent.be/explora-web/.
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