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JournalISSN: 1176-9343

Evolutionary Bioinformatics 

SAGE Publishing
About: Evolutionary Bioinformatics is an academic journal published by SAGE Publishing. The journal publishes majorly in the area(s): Gene & Genome. It has an ISSN identifier of 1176-9343. It is also open access. Over the lifetime, 557 publications have been published receiving 25496 citations. The journal is also known as: Evolutionary Bioinformatics Online.
Topics: Gene, Genome, Phylogenetic tree, Medicine, Genomics


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Journal ArticleDOI
TL;DR: Arlequin ver 3.0 as discussed by the authors is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.
Abstract: Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework. Arlequin 3 introduces a completely new graphical interface written in C++, a more robust semantic analysis of input files, and two new methods: a Bayesian estimation of gametic phase from multi-locus genotypes, and an estimation of the parameters of an instantaneous spatial expansion from DNA sequence polymorphism. Arlequin can handle several data types like DNA sequences, microsatellite data, or standard multi-locus genotypes. A Windows version of the software is freely available on http://cmpg.unibe.ch/software/arlequin3.

14,271 citations

Journal ArticleDOI
TL;DR: The present study estimates the intraspecific ITS variability in all fungi presently available to the mycological community through the international sequence databases and cautions against simplified approaches to automated ITS-based species delimitation and reiterate the need for taxonomic expertise in the translation of sequence data into species names.
Abstract: The internal transcribed spacer (ITS) region of the nuclear ribosomal repeat unit is the most popular locus for species identification and subgeneric phylogenetic inference in sequence-based mycological research. The region is known to show certain variability even within species, although its intraspecific variability is often held to be limited and clearly separated from interspecific variability. The existence of such a divide between intra- and interspecific variability is implicitly assumed by automated approaches to species identification, but whether intraspecific variability indeed is negligible within the fungal kingdom remains contentious. The present study estimates the intraspecific ITS variability in all fungi presently available to the mycological community through the international sequence databases. Substantial differences were found within the kingdom, and the results are not easily correlated to the taxonomic affiliation or nutritional mode of the taxa considered. No single unifying yet stringent upper limit for intraspecific variability, such as the canonical 3% threshold, appears to be applicable with the desired outcome throughout the fungi. Our results caution against simplified approaches to automated ITS-based species delimitation and reiterate the need for taxonomic expertise in the translation of sequence data into species names.

791 citations

Journal ArticleDOI
TL;DR: LASER is a package for the R programming environment that implements maximum likelihood methods based on the birth-death process to test whether diversification rates have changed over time to alternative models where rates have remained constant over time.
Abstract: Rates of species origination and extinction can vary over time during evolutionary radiations, and it is possible to reconstruct the history of diversifi cation using molecular phylogenies of extant taxa only. Maximum likelihood methods pro- vide a useful framework for inferring temporal variation in diversifi cation rates. LASER is a package for the R programming environment that implements maximum likelihood methods based on the birth-death process to test whether diversifi cation rates have changed over time. LASER contrasts the likelihood of phylogenetic data under models where diversifi cation rates have changed over time to alternative models where rates have remained constant over time. Major strengths of the package include the ability to detect temporal increases in diversifi cation rates and the inference of diversifi cation parameters under multiple rate-variable models of diversifi cation. The program and associated documentation are freely available from the R package archive at http://cran.r-project.org.

396 citations

Journal ArticleDOI
TL;DR: Phylogenetic lineages, often corresponding to new, “cryptic”, taxa, are restricted to a small number of stream localities, and this molecular-based phylogenetic pattern supports the use of DNA barcoding programs for biodiversity conservation planning.
Abstract: Biodiversity conservation addresses information challenges through estimations encapsulated in measures of diversity. A quantitative measure of phylogenetic diversity, “PD”, has been defined as the minimum total length of all the phylogenetic branches required to span a given set of taxa on the phylogenetic tree (Faith 1992a). While a recent paper incorrectly characterizes PD as not including information about deeper phylogenetic branches, PD applications over the past decade document the proper incorporation of shared deep branches when assessing the total PD of a set of taxa. Current PD applications to macroinvertebrate taxa in streams of New South Wales, Australia illustrate the practical importance of this definition. Phylogenetic lineages, often corresponding to new, “cryptic”, taxa, are restricted to a small number of stream localities. A recent case of human impact causing loss of taxa in one locality implies a higher PD value for another locality, because it now uniquely represents a deeper branch. This molecular-based phylogenetic pattern supports the use of DNA barcoding programs for biodiversity conservation planning. Here, PD assessments side-step the contentious use of barcoding-based “species” designations. Bio-informatics challenges include combining different phylogenetic evidence, optimization problems for conservation planning, and effective integration of phylogenetic information with environmental and socio-economic data.

375 citations

Journal ArticleDOI
TL;DR: The CIP RES RESTful application programmer interface (CRA), a web service that provides programmatic access to all resources and services currently offered by the CIPRES Science Gateway, is described.
Abstract: The CIPRES Science Gateway is a community web application that provides public access to a set of parallel tree inference and multiple sequence alignment codes run on large computational resources. These resources are made available at no charge to users by the NSF Extreme Science and Engineering Discovery Environment (XSEDE) project. Here we describe the CIPRES RESTful application programmer interface (CRA), a web service that provides programmatic access to all resources and services currently offered by the CIPRES Science Gateway. Software developers can use the CRA to extend their web or desktop applications to include the ability to run MrBayes, BEAST, RAxML, MAFFT, and other computationally intensive algorithms on XSEDE. The CRA also makes it possible for individuals with modest scripting skills to access the same tools from the command line using curl, or through any scripting language. This report describes the CRA and its use in three web applications (Influenza Research Database – www.fludb.org, Virus Pathogen Resource – www.viprbrc.org, and MorphoBank – www.morphobank.org). The CRA is freely accessible to registered users at https://cipresrest.sdsc.edu/cipresrest/v1; supporting documentation and registration tools are available at https://www.phylo.org/restusers.

360 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20236
202229
202126
202049
201958
201832