Sentence examples for methods for haplotype from inspiring English sources

Stephens, M. & Donnelly, P. A comparison of Bayesian methods for haplotype reconstruction from population genotype data.

One of these challenges is haplotype inference; methods for haplotype inference designed for small data sets from candidate-gene studies do not scale well to the large number of individuals genotyped in whole-genome association studies.

The most frequently used methods for haplotype reconstruction are based either on the maximum likelihood-based expectation-maximization (EM) algorithm [7] or on a Bayesian framework incorporating the coalescent model [8], [9].

Theory and methods for haplotype discovery have well been established for natural populations [13] in which the non-random association among different single nucleotide polymorphims (SNP), specified by the coefficients of linkage disequilibria, lays a foundation for the mixture model of haplotyping a quantitative trait.

Different methods for haplotype reconstruction have different strengths and weaknesses.

Fast, accurate, and scalable methods for haplotype assembly of diploid and polyploid organisms are needed.

Methods for haplotyping and DNA copy-number typing of single cells are paramount for studying genomic heterogeneity and enabling genetic diagnosis.

TV, MZE and JRV are co-inventors on a submitted patent application PCT/EP2011/060211 (Methods for haplotyping single cells - KU Leuven).

Stephens, M., Smith, N.J. & Donnelly, P. A new statistical method for haplotype reconstruction from population data.

Stephens, M., Smith, N. J. & Donnelly, P. A new statistical method for haplotype reconstruction from population data.

One of the challenges of large disease-association studies is developing a fast and accurate computing method for haplotype inference from genotype data.