Abstract
Due to the high pace that algorithms for scanning genome-wide datasets are produced, most of the software is quickly released. As a consequence, they usually lack in system portability and only provide a text-based user interface. BioCASE is an open-source tool developed to assist bioinformaticians in the task of producing software to perform any kind of computationally-expensive genome-wide scanning. BioCASE will produce efficient software with some other added features such as to be portable, to have a graphical user interface (GUI) and to be easily set up. A first version of BioCASE (http://bios.ugr.es/biocase) has been completed and it is being currently used in the design of a genome- wide tool to perform variable selection of genotype data sets based on multivariate association and transmission-disequilibrium tests.
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References
Gentleman, R.C., et al.: Bioconductor: open software development for computational biology and bioinformatics. Genome Biology 5(5), 1–16 (2004)
Kim, T.M., Jung, Y.C., Rhyu, M.G., Jung, M.H., Chung, Y.J.: Gear: genomic enrichment analysis of regional dna copy number changes. Bioinformatics 24(3), 420–421 (2008)
Sebastiani, P., Abad-Grau, M.M.: Bayesian estimates of linkage disequilibrium. BMC Genetics 8, 1–13 (2007)
Scheet, P., Stephens, M.: A fast and flexible statistical model for large-scale population genotype. data: Applications to inferring missing genotypes and haplotypic phase. Am. J. Hum. Genet. 78, 629–644 (2006)
Abad-Grau, M.M., Montes, R., Sebastiani, P.: Building chromosome-wide LD maps. Bioinformatics 22(16), 1933–1934 (2006)
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Montes, R., Abad-Grau, M.M. (2009). BioCASE: Accelerating Software Development of Genome-Wide Filtering Applications. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_166
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DOI: https://doi.org/10.1007/978-3-642-02481-8_166
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