Genomics And Computational Science For Virus Research
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Genomics and computational science for virus research
A biologically striking and clinically important feature of viruses is their rapid evolutionary dynamics in nature. The continual interactions between viruses and host organisms promote quick changes in virus populations, eventually leading to co-evolution of viruses and hosts for their survival. The structural and functional information on the interactions between viruses and hosts should provide a molecular and biological basis to understand infection, replication, cell/host-tropism, immune escape, pathogenesis, and direction of evolution of viruses. The information is also essential to develop methods to control transmission and replication of pathogenic viruses. However, the integrated information on the structure, function, and evolution of viruses and hosts has remained poorly accumulated, partly due to the limitation of analytical methods. Recent progress in genome science and computational approach may open up a new avenue of research of the interactions between viruses and hosts by integrating information on the structures, functions, and evolution. In this Research Topic, we welcome papers concerning the computer-assisted structural and functional studies based on genomic information, with theoretical or in combination with experimental approaches, for understanding molecules, infection, replication, cell/host-tropism, immune escape, pathogenesis, and evolution of viruses in nature.
Virus Bioinformatics
Virus bioinformatics is evolving and succeeding as an area of research in its own right, representing the interface of virology and computer science. Bioinformatic approaches to investigate viral infections and outbreaks have become central to virology research, and have been successfully used to detect, control, and treat infections of humans and animals. As part of the Third Annual Meeting of the European Virus Bioinformatics Center (EVBC), we have published this Special Issue on Virus Bioinformatics.
Computing for Comparative Microbial Genomics
Author: David Wayne Ussery
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-02-26
Overview and Goals This book describes how to visualize and compare bacterial genomes. Sequencing technologies are becoming so inexpensive that soon going for a cup of coffee will be more expensive than sequencing a bacterial genome. Thus, there is a very real and pressing need for high-throughput computational methods to compare hundreds and thousands of bacterial genomes. It is a long road from molecular biology to systems biology, and in a sense this text can be thought of as a path bridging these ? elds. The goal of this book is to p- vide a coherent set of tools and a methodological framework for starting with raw DNA sequences and producing fully annotated genome sequences, and then using these to build up and test models about groups of interacting organisms within an environment or ecological niche. Organization and Features The text is divided into four main parts: Introduction, Comparative Genomics, Transcriptomics and Proteomics, and ? nally Microbial Communities. The ? rst ? ve chapters are introductions of various sorts. Each of these chapters represents an introduction to a speci? c scienti? c ? eld, to bring all readers up to the same basic level before proceeding on to the methods of comparing genomes. First, a brief overview of molecular biology and of the concept of sequences as biological inf- mation are given.