A Computer Scientist's Guide to Cell Biology

A Computer Scientist's Guide to Cell Biology

Author: William W. Cohen

Publisher: Springer Science & Business Media

Published: 2007-07-23

Total Pages: 104

ISBN-13: 0387482784

DOWNLOAD EBOOK

This book is designed specifically as a guide for Computer Scientists needing an introduction to Cell Biology. The text explores three different facets of biology: biological systems, experimental methods, and language and nomenclature. The author discusses what biologists are trying to determine from their experiments, how various experimental procedures are used and how they relate to accepted concepts in computer science, and the vocabulary necessary to read and understand current literature in biology. The book is an invaluable reference tool and an excellent starting point for a more comprehensive examination of cell biology.


Automated Taxon Identification in Systematics

Automated Taxon Identification in Systematics

Author: Norman MacLeod

Publisher: CRC Press

Published: 2007-07-23

Total Pages: 370

ISBN-13: 1420008072

DOWNLOAD EBOOK

The automated identification of biological objects or groups has been a dream among taxonomists and systematists for centuries. However, progress in designing and implementing practical systems for fully automated taxon identification has been frustratingly slow. Regardless, the dream has never died. Recent developments in computer architectures an


Practical Taxonomic Computing

Practical Taxonomic Computing

Author: R. J. Pankhurst

Publisher:

Published: 1991

Total Pages: 202

ISBN-13: 9780521417600

DOWNLOAD EBOOK

The accurate identification of all kinds of plants and animals, their organization, and the theories proposed for their evolution are fundamental to the study of biology. Computers are revolutionizing taxonomic methodology, and this book provides a timely introduction to their use in this field. Simple methods are described, allowing those not familiar with computers to input, store, and organize biological information. The way in which computers can be used with the two major classification methods (phentic and cladistic) is described fully; database structure and organization are also explained clearly.


Advances in Computers

Advances in Computers

Author: Marvin Zelkowitz

Publisher: Elsevier

Published: 2006-12-11

Total Pages: 335

ISBN-13: 0080466346

DOWNLOAD EBOOK

The field of bioinformatics and computational biology arose due to the need to apply techniques from computer science, statistics, informatics, and applied mathematics to solve biological problems. Scientists have been trying to study biology at a molecular level using techniques derived from biochemistry, biophysics, and genetics. Progress has greatly accelerated with the discovery of fast and inexpensive automated DNA sequencing techniques. As the genomes of more and more organisms are sequenced and assembled, scientists are discovering many useful facts by tracing the evolution of organisms by measuring changes in their DNA, rather than through physical characteristics alone. This has led to rapid growth in the related fields of phylogenetics, the study of evolutionary relatedness among various groups of organisms, and comparative genomics, the study of the correspondence between genes and other genomic features in different organisms. Comparing the genomes of organisms has allowed researchers to better understand the features and functions of DNA in individual organisms, as well as provide insights into how organisms evolve over time. The first four chapters of Advances in Computers focus on algorithms for comparing the genomes of different organisms. Possible concrete applications include identifying the basis for genetic diseases and tracking the development and spread of different forms of Avian flu. As researchers begin to better understand the function of DNA, attention has begun shifting towards the actual proteins produced by DNA. The final two chapters explore proteomic techniques for analyzing proteins directly to identify their presence and understand their physical structure. Written by active PhD researchers in computational biology and bioinformatics