Search For:

Displaying 1-7 out of 7 total
A fast and practical approach to genotype phasing and imputation on a pedigree with erroneous and incomplete information
Found in: Computational Advances in Bio and Medical Sciences, IEEE International Conference on
By Yuri Pirola,Gianluca Della Vedova,Stefano Biffani,Alessandra Stella,Paola Bonizzoni
Issue Date:February 2012
pp. 1-6
In this work, we propose the MIN-RECOMBINANT HAPLOTYPE CONFIGURATION WITH BOUNDED ERRORS problem (MRHCE), which extends the original MIN-RECOMBINANT HAPLOTYPE CONFIGURATION formulation by incorporating two common characteristics of real data: errors and mi...
 
PIntron: A fast method for gene structure prediction via maximal pairings of a pattern and a text
Found in: Computational Advances in Bio and Medical Sciences, IEEE International Conference on
By Paola Bonizzoni, Gianluca Della Vedova, Yuri Pirola, Raffaella Rizzi
Issue Date:February 2011
pp. 33-39
A challenging issue in designing computational methods for predicting the gene structure into exons and introns from a cluster of transcript (EST, mRNA) sequences, is guaranteeing both accuracy and efficiency in time and space, when large clusters of over ...
 
Pure Parsimony Xor Haplotyping
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Paola Bonizzoni, Gianluca Della Vedova, Riccardo Dondi, Yuri Pirola, Romeo Rizzi
Issue Date:October 2010
pp. 598-610
The haplotype resolution from xor-genotype data has been recently formulated as a new model for genetic studies [1]. The xor-genotype data is a cheaply obtainable type of data distinguishing heterozygous from homozygous sites without identifying the homozy...
 
A Fast and Practical Approach to Genotype Phasing and Imputation on a Pedigree with Erroneous and Incomplete Information
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Alessandra Stella, Gianluca Della Vedova, Paola Bonizzoni, Stefano Biffani, Yuri Pirola
Issue Date:November 2012
pp. 1582-1594
HASH(0x4f1716c)
     
An Efficient Algorithm for Haplotype Inference on Pedigrees with Recombinations and Mutations
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Paola Bonizzoni, Tao Jiang, Yuri Pirola
Issue Date:January 2012
pp. 12-25
Haplotype Inference (HI) is a computational challenge of crucial importance in a range of genetic studies. Pedigrees allow to infer haplotypes from genotypes more accurately than population data, since Mendelian inheritance restricts the set of possible so...
     
Pure Parsimony Xor Haplotyping
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Gianluca Della Vedova, Paola Bonizzoni, Riccardo Dondi, Romeo Rizzi, Yuri Pirola
Issue Date:October 2010
pp. 598-610
The haplotype resolution from xor-genotype data has been recently formulated as a new model for genetic studies [1]. The xor-genotype data is a cheaply obtainable type of data distinguishing heterozygous from homozygous sites without identifying the homozy...
     
A quantitative study of neutrality in GP boolean landscapes
Found in: Proceedings of the 8th annual conference on Genetic and evolutionary computation (GECCO '06)
By Leonardo Vanneschi, Philippe Collard, Yuri Pirola
Issue Date:July 2006
pp. 895-902
Neutrality of some boolean parity fitness landscapes is investigated in this paper. Compared with some well known contributions on the same issue, we define some new measures that help characterizing neutral landscapes, we use a new sampling methodology, w...
     
 1