By Fabian Amman, Stephan H. Bernhart (auth.), João C. Setubal, Nalvo F. Almeida (eds.)
This e-book constitutes the refereed complaints of the eighth Brazilian Symposium on Bioinformatics, BSB 2013, held in Recife, Brazil, in November 2013. The 18 common papers awarded have been rigorously reviewed and chosen for inclusion during this e-book. The papers disguise all points of bioinformatics and computational biology.
Read or Download Advances in Bioinformatics and Computational Biology: 8th Brazilian Symposium on Bioinformatics, BSB 2013, Recife, Brazil, November 3-7, 2013, Proceedings PDF
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Additional info for Advances in Bioinformatics and Computational Biology: 8th Brazilian Symposium on Bioinformatics, BSB 2013, Recife, Brazil, November 3-7, 2013, Proceedings
A markov chain approach to reconstruction of long haplotypes. In: Paciﬁc Symposium on Biocomputing, pp. 104–115 (2004) 18. : A new statistical method for haplotype reconstruction from population data. American Journal of Human Genetics 68, 59–62 (2001) 19. : A fast and ﬂexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase. American Journal of Human Genetics 78, 629–644 (2006) 20. The International HapMap Consortium: The international hapmap project.
Springer, Heidelberg (2005) 8. : Inference of haplotypes from samples of diploids populations: Complexity and algorithms. Journal of Computational Biology 8, 305–324 (2001) HybHap: A Fast and Accurate Hybrid Approach 35 9. : Haplotype inference by pure parsimony. , Crochemore, M. ) CPM 2003. LNCS, vol. 2676, pp. 144–155. Springer, Heidelberg (2003) 10. : Haplotyping populations by pure parsimony: Complex of exact and approximation algorithms. INFORMS J. Computing 16, 348–359 (2004) 11. : A survey of computational methods for determining haplotypes.
Modify S1 by moving the insertions up and the deletions down, as shown in , obtaining a scenario S2 = S2ins ++S2DCJ ++S2del . 3. Use S2ins to transform A into a linear genome A . 4. Use S2DCJ to transform A into a linear genome B (A and B have the same content G = G ∪ A ∪ B). 5. Apply the restricted DCJ algorithm from  to obtain a restricted DCJ scenario R sorting A into B . 6. Concatenate the three parts to obtain the scenario S3 = S2ins ++R ++S2del , that is a restricted DCJ-indel scenario sorting A into B.