Human geneticists working on systems for which it is possible to make a strong case for a
set of candidate genes face the problem of whether it is necessary to consider the variation …

Molecular markers and genetic maps are available for most important food crops. Marker‐
trait associations have been established for a diverse array of traits in these crops, and …

The idea that all life on earth traces back to a common origin dates back at least to Charles
Darwin's Origin of Species. Ever since, biologists have tried to piece together parts of this …

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 …

The enormous complexity of biological systems at the molecular level must be answered
with powerful computational methods. Computational biology is a young field, but has seen …

Cancer has long been understood as a somatic evolutionary process, but many details of
tumor progression remain elusive. Here, we present BitPhylogeny, a probabilistic framework …

Combinatorial structure and algorithms for deducing genetic recombination history,
represented by ancestral recombination graphs and other networks, and their role in the …

Critical to the understanding of the genetic basis for complex diseases is the modeling of
human variation. Most of this variation can be characterized by single nucleotide …

Thoroughly Describes Biological Applications, Computational Problems, and Various
Algorithmic Solutions Developed from the author's own teaching material, Algorithms in …

The abundance of genotype data generated by individual and international efforts carries
the promise of revolutionizing disease studies and the association of phenotypes with …