Constructing Phylogenetic Networks Based on the Isomorphism of Datasets

Constructing rooted phylogenetic networks from rooted phylogenetic trees has become an important problem in molecular evolution. So far, many methods have been presented in this area, in which most efficient methods are based on the incompatible graph, such as the CASS, the LNETWORK, and the BIMLR. This paper will research the commonness of the methods based on the incompatible graph, the relationship between incompatible graph and the phylogenetic network, and the topologies of incompatible graphs. We can find out all the simplest datasets for a topology and construct a network for every dataset. For any one dataset C, we can compute a network from the network representing the simplest dataset which is isomorphic to C. This process will save more time for the algorithms when constructing networks

Bioinformatics

This book is divided into different research areas relevant in Bioinformatics such as biological networks, next generation sequencing, high performance computing, molecular modeling, structural bioinformatics, molecular modeling and intelligent data analysis. Each book section introduces the basic concepts and then explains its application to problems of great relevance, so both novice and expert readers can benefit from the information and research works presented here

XSEDE: eXtreme Science and Engineering Discovery Environment Third Quarter 2012 Report

The Extreme Science and Engineering Discovery Environment (XSEDE) is the most advanced, powerful, and robust collection of integrated digital resources and services in the world. It is an integrated cyberinfrastructure ecosystem with singular interfaces for allocations, support, and other key services that researchers can use to interactively share computing resources, data, and expertise.This a report of project activities and highlights from the third quarter of 2012.National Science Foundation, OCI-105357

Conserving Australia's iconic marsupials; one genome at a time

In the midst of a global sixth mass extinction event, conservation initiatives are now more crucial than ever. Australia houses the most diverse range of marsupial species in the world; however, the number that are threatened is growing every year. Genetic management of threatened populations is vital in species recovery, yet incorporation of genetic data in conservation management is currently limited. International and national genome sequencing consortia are currently producing reference genomes for a large variety of species, though there is currently a gap between the creation of these genomic resources and their downstream applications, particularly in conservation contexts. One of the major drivers of this gap is due to the bioinformatic expertise and resources that are required to analyse genomic datasets and to translate the findings into conservation management. This PhD employs a variety of bioinformatic and sequencing approaches to develop genomic resources for threatened Australian Marsupials and demonstrates how these resources can be used as a tool to assist species conservation. The value of genomic data for conservation is demonstrated for a range of species under varying scenarios including: i) using existing genomic datasets for the endangered Tasmanian devil to answer new conservation questions relating to reproduction, ii) creating a reference genome for the common brown antechinus, to act as a model species for its threatened congeneric counterparts and iii) generating and uniting a suite of genomic resources to assist in the management of the vulnerable greater bilby. In addition, ten simple rules for getting started with command-line bioinformatics are presented to facilitate the use of genomic data in wildlife conservation. Bridging the research-implementation gap is essential for harnessing the power of genomic resources for the conservation of threatened species. The findings from this PhD provide crucial steps into bridging this gap

PENSAMIENTO CRÍTICO EN LA INVESTIGACIÓN CIENTÍFICA Y ACADÉMICA COLECCIÓN CIENTÍFICA EDUCACIÓN, EMPRESA Y SOCIEDAD

PENSAMIENTO CRÍTICO EN LA INVESTIGACIÓN CIENTÍFICA Y ACADÉMICA COLECCIÓN CIENTÍFICA EDUCACIÓN, EMPRESA Y SOCIEDAD Primera Edición 2023 Vol. 21 Editorial EIDEC Sello Editorial EIDEC (978-958-53018) NIT 900583173-1 ISBN: 978-628-95884-1-5 Formato: Digital PDF (Portable Document Format) DOI: https://doi.org/10.34893/e1150-3660-8721-s Publicación: Colombia Fecha Publicación: 13/09/2023 Coordinación Editorial Escuela Internacional de Negocios y Desarrollo Empresarial de Colombia – EIDEC Centro de Investigación Científica, Empresarial y Tecnológica de Colombia – CEINCET Red de Investigación en Educación, Empresa y Sociedad – REDIEES Revisión y pares evaluadores Centro de Investigación Científica, Empresarial y Tecnológica de Colombia – CEINCET Red de Investigación en Educación, Empresa y Sociedad – REDIEE