|Author:||David Edwards,Jason Stajich,David Hansen|
|Publisher:||Springer; 2009 edition (September 22, 2009)|
|Category:||Math and Science|
|Other formats:||mbr lrf txt doc|
It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology.
It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially.
Tools and Applications Bioinformatics. Tools and Applications.
Tools and Applications. Details applied bioinformatics. David Edwards gained an Honours degree in agriculture from the University of Nottingham in 1989 and a PhD from the Department of Plant Science, University of Cambridge, UK in 1997.
Bioinformatics: Tools and Applications provides up-to-date descriptions of the various areas of applied bioinformatics, from the analysis of sequence, literature, and functional data to the function and evolution of organisms. The ability to process and interpret large volumes of data is essential with the application of new high throughput DNA sequencers providing an overload of sequence data.
Bioinformatics: Tools and Applications. David Edwards, Jason Stajich, David Hansen. Springer Science & Business Media, 3 сент.
This book helps understand applied bioinformatics. Описание: This book introduces bioinformatics techniques and programming using bacterial genomics. Описание: Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation.
xii + 451 . il. index. D Edwards, J Stajich, D Hansen.
Verifierad e-postadress på csiro. health informatics bioinformatics statistical physics. Artiklar Citeras av Medförfattare. Bioinformatics: tools and applications. Springer Science & Business Media, 2009. Springer-Verlag New York. David Edwards, David Hansen, Jason E. Stajich (auth. David Edwards, Jason Stajich, David Hansen (ed. Year: 2009. File: PDF, 1. 0 MB. 2. The Human Condition in Latin America.
Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially. At the same time, improved bioinformatics such as faster DNA sequence search methods have been combined with increasingly powerful computer systems to process this information. Methods are being developed for the ever more detailed quantification of gene expression, providing an insight into the function of the newly discovered genes, while molecular genetic tools provide a link between these genes and heritable traits. Genetic tests are now available to determine the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation of the genetic blueprint to the observed phenotype is being increasingly understood through proteome, metabolome and phenome analysis, all underpinned by advances in bioinformatics. Bioinformatics is becoming increasingly central to the study of biology, and a day at a computer can often save a year or more in the laboratory.
The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding.