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Inference of reticulate evolutionary histories by maximum likelihood: the performance of information criteria
(BioMed Central, 2012)
Background: Maximum likelihood has been widely used for over three decades to infer phylogenetic trees from
molecular data. When reticulate evolutionary events occur, several genomic regions may have conflicting
evolutionary histories, and a phylogenetic network may provide a more adequate model for representing the
evolutionary history of the ...
Bayesian Inference of Reticulate Phylogenies under the Multispecies Network Coalescent
(Public Library of Science, 2016)
The multispecies coalescent (MSC) is a statistical framework that models how gene genealogies grow within the branches of a species tree. The field of computational phylogenetics has witnessed an explosion in the development of methods for species tree inference under MSC, owing mainly to the accumulating evidence of incomplete lineage sorting in ...
An Evaluation of Methods for Inferring Boolean Networks from Time-Series Data
(Public Library of Science, 2013)
Regulatory networks play a central role in cellular behavior and decision making. Learning these regulatory networks is a
major task in biology, and devising computational methods and mathematical models for this task is a major endeavor in
bioinformatics. Boolean networks have been used extensively for modeling regulatory networks. In this model, ...
Computational approaches to species phylogeny inference and gene tree reconciliation
(Elsevier, 2013)
An intricate relationship exists between gene trees and species phylogenies, due to evolutionary processes that act on the genes within and across the branches of the species phylogeny. From an analytical perspective, gene trees serve as character states for inferring accurate species phylogenies, and species phylogenies serve as a backdrop against ...
Towards accurate characterization of clonal heterogeneity based on structural variation
(BioMed Central, 2014)
Recent advances in deep digital sequencing have unveiled an unprecedented degree of clonal heterogeneity within a single tumor DNA sample. Resolving such heterogeneity depends on accurate estimation of fractions of alleles that harbor somatic mutations. Unlike substitutions or small indels, structural variants such as deletions, duplications, inversions ...
Exploring phylogenetic hypotheses via Gibbs sampling on evolutionary networks
(BioMed Central, 2016)
Abstract
Background
Phylogenetic networks are leaf-labeled graphs used to model and display complex evolutionary relationships that do not fit a single tree. There are two classes of phylogenetic networks: Data-display networks and evolutionary networks. While data-display networks are very commonly ...
Reticulate evolutionary history and extensive introgression in mosquito species revealed by phylogenetic network analysis
(Wiley, 2016)
The role of hybridization and subsequent introgression has been demonstrated in an increasing number of species. Recently, Fontaine et al. (Science, 347, 2015, 1258524) conducted a phylogenomic analysis of six members of the Anopheles gambiae species complex. Their analysis revealed a reticulate evolutionary history and pointed to extensive introgression ...
Stranger in a strange land: the experiences of immigrant researchers
(BMC, 2017)
Continuing with our Q&A series discussing issues of diversity in STEM fields, Genome Biology spoke with three researchers on their experiences as immigrants.
Matrilysin/MMP-7 Cleavage of Perlecan/HSPG2 Complexed with Semaphorin 3A Supports FAK-Mediated Stromal Invasion by Prostate Cancer Cells
(Springer Nature, 2018)
Interrupting the interplay between cancer cells and extracellular matrix (ECM) is a strategy to halt tumor progression and stromal invasion. Perlecan/heparan sulfate proteoglycan 2 (HSPG2) is an extracellular proteoglycan that orchestrates tumor angiogenesis, proliferation, differentiation and invasion. Metastatic prostate cancer (PCa) cells degrade ...
Bayesian inference of phylogenetic networks from bi-allelic genetic markers
(Public Library of Science, 2018)
Phylogenetic networks are rooted, directed, acyclic graphs that model reticulate evolutionary histories. Recently, statistical methods were devised for inferring such networks from either gene tree estimates or the sequence alignments of multiple unlinked loci. Bi-allelic markers, most notably single nucleotide polymorphisms (SNPs) and amplified ...