Biological Identification with Computers
Author : R. J. Pankhurst
Publisher : Academic Press
Page : 356 pages
File Size : 32,70 MB
Release : 1975
Category : Science
ISBN :
Author : R. J. Pankhurst
Publisher : Academic Press
Page : 356 pages
File Size : 32,70 MB
Release : 1975
Category : Science
ISBN :
Author :
Publisher :
Page : pages
File Size : 39,41 MB
Release :
Category :
ISBN :
Author :
Publisher :
Page : 333 pages
File Size : 29,61 MB
Release : 1975
Category :
ISBN : 9780125448505
Author : Richard John Pankhurst
Publisher :
Page : pages
File Size : 14,7 MB
Release : 1973
Category :
ISBN :
Author : William W. Cohen
Publisher : Springer Science & Business Media
Page : 104 pages
File Size : 14,45 MB
Release : 2007-07-23
Category : Computers
ISBN : 0387482784
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.
Author : Norman MacLeod
Publisher : CRC Press
Page : 370 pages
File Size : 20,49 MB
Release : 2007-07-23
Category : Computers
ISBN : 1420008072
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
Author : Marvin Zelkowitz
Publisher : Elsevier
Page : 335 pages
File Size : 23,16 MB
Release : 2006-12-11
Category : Computers
ISBN : 0080466346
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
Author : Paolo Remagnino
Publisher : Springer
Page : 117 pages
File Size : 42,9 MB
Release : 2016-12-09
Category : Technology & Engineering
ISBN : 3662537451
This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species. Adopting a multidisciplinary approach, it explores the problem of plant species identification, covering both the concepts of taxonomy and morphology. It then provides an overview of morphometrics, including the historical background and the main steps in the morphometric analysis of leaves together with a number of applications. The core of the book focuses on novel diagnostic methods for plant species identification developed from a computer scientist’s perspective. It then concludes with a chapter on the characterization of botanists' visions, which highlights important cognitive aspects that can be implemented in a computer system to more accurately replicate the human expert’s fixation process. The book not only represents an authoritative guide to advanced computational tools for plant identification, but provides experts in botany, computer science and pattern recognition with new ideas and challenges. As such it is expected to foster both closer collaborations and further technological developments in the emerging field of automatic plant identification.
Author : R. J. Pankhurst
Publisher :
Page : 120 pages
File Size : 12,48 MB
Release : 1978
Category : Science
ISBN :
Author : National Research Council
Publisher : National Academies Press
Page : 469 pages
File Size : 14,90 MB
Release : 2006-01-01
Category : Science
ISBN : 030909612X
Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress. To help take advantage of these opportunities, this study was requested of the NRC by the National Science Foundation, the Department of Defense, the National Institutes of Health, and the Department of Energy. The report provides the basis for establishing cross-disciplinary collaboration between biology and computing including an analysis of potential impediments and strategies for overcoming them. The report also presents a wealth of examples that should encourage students in the biological sciences to look for ways to enable them to be more effective users of computing in their studies.