This article reviews machine learning methods for bioinformatics. It presents modelling
methods, such as supervised classification, clustering and probabilistic graphical models for …

The human genome is diploid, which requires assigning heterozygous single nucleotide
polymorphisms (SNPs) to the two copies of the genome. The resulting haplotypes, lists of …

Motivation: Single nucleotide polymorphisms are the most common form of variation in
human DNA, and are involved in many research fields, from molecular biology to medical …

Motivation: The goal of the haplotype assembly problem is to reconstruct the two haplotypes
(chromosomes) for an individual using a mix of sequenced fragments from the two …

Motivation: Haplotype inference is an important step for many types of analyses of genetic
variation in the human genome. Traditional approaches for obtaining haplotypes involve …

Background The goal of haplotype assembly is to infer haplotypes of an individual from a
mixture of sequenced chromosome fragments. Limited lengths of paired-end sequencing …

Haplotypes are the units of inheritance in an organism, and many genetic analyses depend
on their precise determination. Methods for haplotyping single individuals use the phasing …

Motivation: Some economically important plants including wheat and cotton have more than
two copies of each chromosome. With the decreasing cost and increasing read length of …

Motivation: Haplotypes play a crucial role in genetic analysis and have many applications
such as gene disease diagnoses, association studies, ancestry inference and so forth. The …

Background In order to fully characterize the genome of an individual, the reconstruction of
the two distinct copies of each chromosome, called haplotypes, is essential. The …