
Visualizing Biological Information
Clifford A. Pickover(Editor)
World Scientific Publishing Co Pte Ltd
Will be published approx. on 1. December 1995
Book
Hardback
240 pages
978-981-02-1427-2 (ISBN)
Description
Biological data of all kinds is proliferating at an incredible rate. If humans attempt to read such data in the form of numbers and letters, they will take in the information at a snail's pace. If the information is rendered graphically, however, human analysts can assimilate it and gain insight at a much faster rate. The emphasis of this book is on the graphic representation of information-containing sequences such as DNA and amino acid sequences in order to help the human analyst find interesting and biologically relevant patterns. The editor's goal is to make this voyage through molecular biology, genetics and computer graphics as accessible to a broad audience as possible, with the inclusion of glossaries at the end of most chapters and program outlines where applicable. The book will be of most interest to biologists and computer scientists and the various large reference lists should be of interest to beginners and advanced students of biology, graphic art and computer science. Contributors have sought to find pattern and meaning in the cacophony of genetic and protein sequence data using unusual computer graphics and musical techniques.
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
ISBN-13
978-981-02-1427-2 (9789810214272)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Content
Diagnosing malignancies and AIDS using computer graphics, J.P. Robinson; gene music - tonal assignments of bases and amino acids, N. Munakata and K. Hayashi; visual analysis of nucleic acid sequences, J. Ninio; gel analysis with computer graphics, P. Lemkin; barograms - a transforming function to generate unidimensional fractals from nucleotide sequences, J. Campione-Piccardo; hydroflakes - protein hydrophilicity represented by symmetrized dot patterns and computer drawn cartoon faces representing protein sequences, M. Campbell; mutability patterns in protein coding genes, D. Graur; RNA patterns, P. Hackett; hidden Markov chains and the analysis of genome structure, G. Churchill; a protein visualization programme, D.A. Kuznetsov and H.A. Lim; RNA and protein structure prediction by neural nets, E. Steeg; a space-efficient representation of amino acid sequences, A. Williams et al; DNA and protein patterns with HGRAMS, Y.K. Huen; RNA folding, K. Yamamoto.