By David Langenberger, Sebastian Bartschat, Jana Hertel, Steve Hoffmann, Hakim Tafer (auth.), Osmar Norberto de Souza, Guilherme P. Telles, Mathew Palakal (eds.)
This publication constitutes the complaints of the sixth Brazilian Symposium on Bioinformatics, BSB 2011, held in Brasília, Brazil, in August 2011.
The eight complete papers and four prolonged abstracts provided have been rigorously peer-reviewed and chosen for inclusion during this booklet. The BSB subject matters of curiosity hide many parts of bioinformatics that diversity from theoretical points of difficulties in bioinformatics to purposes in molecular biology, biochemistry, genetics, and linked subjects.
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Additional info for Advances in Bioinformatics and Computational Biology: 6th Brazilian Symposium on Bioinformatics, BSB 2011, Brasilia, Brazil, August 10-12, 2011. Proceedings
Antiviral Therapy 12(1), 15 (2007) 12. : Prediction of HIV mutation changes based on treatment history. American Medical Informatics Association (2006) 13. : A probabilistic approach to feature selection - a ﬁlter solution. In: Proc. of Int. Conf. on Machine Learning, pp. 319–327. Morgan Kaufmann, San Francisco (1996) 14. : MppS: An ensemble of support vector machine based on multiple physicochemical properties of amino acids. Neurocomputing 69(13-15), 1688–1690 (2006) 15. : HIV-host interactions: a map of viral perturbation of the host system.
2 Sorting by Transpositions As a transposition only moves genes across one chromosome, but never between chromosomes, we will focus our attention on the problem of comparing unichromosomal genomes. A chromosome with n genes is modeled by a permutation π = [π1 π2 . . πn ], where each element πi , which represents a gene, is an integer in the range 1 . . n, and no element is repeated. The size of a permutation is the number of elements in it; therefore, the size of π is |π| = n. A transposition t = (i, j, k), such that 1 ≤ i ≤ j ≤ k ≤ n + 1, is the operation that, applied to a permutation π = [π1 .
26–33, 2011. c Springer-Verlag Berlin Heidelberg 2011 Gene Prediction by Multiple Spliced Alignment 27 in eukaryotic genomes, due to a number of reasons. First of all, the genes of most eukaryotic organisms are neither continuous nor contiguous. They are separated by long stretches of intergenic DNA and their coding fragments, named exons, are interrupted by non-coding ones, the introns. Furthermore, there is not an evident pattern of bases that distinguishes the genes from the intergenic regions of a genomic sequence.