Paper Info
Title
Xor perfect phylogeny haplotyping in pedigrees
Abstract
Haplotype analysis plays an important role in the association study between genomes and some common diseases. Unfortunately, acquiring haplotype data from biological experiments is usually very time consuming and expensive. Genotype is a different type of biological data, which contain the blended information of two paired haplotypes in homologous chromosomes. Because genotypes are much easier to gain, some computational methods were developed to infer haplotypes from genotypes. Recently some new experimental methods such as DHPLC were developed to generate a different type of biological data named xor-genotype. Compared with traditional genotype data, xor-genotype is more economic but less informative. Inferring haplotypes from xorgenotypes becomes a new problem in bioinformatics. Some studies have been performed on the haplotype inference based on xor-genotypes in population data. However, the related study within pedigree is rare according our knowledge. In this paper, we proposed an algorithm to solve this problem in pedigree and made a comparison between the uniqueness of the haplotyping solution in pedigree and population.
Year
DOI
Venue
2010
10.1007/978-3-642-14932-0_4
ICIC (2)
Keywords
Field
DocType
xor perfect phylogeny,inferring haplotypes,new experimental method,haplotype data,traditional genotype data,haplotype inference,biological data,biological experiment,association study,population data,different type
Genome,Biological data,Genotype,Population,Computer science,Artificial intelligence,Computational biology,Haplotype estimation,Pedigree chart,Haplotype,Bioinformatics,Machine learning,Perfect phylogeny
Conference
Volume
ISSN
ISBN
6216
0302-9743
3-642-14931-6
Citations 
PageRank 
References 
0
0.34
11
Authors
5
Name
Order
Citations
PageRank
YuZhong Zhao1725.21
Yun Xu216719.13
Xiaohui Yao341.41
Ying Wang42417.22
Guoliang Chen530546.48