Discovering the secrets of DNA

Authors:
Peter Friedland;Laurence H. Kedes
Affiliations:
Stanford Univ., Palo Alto, CA;Stanford Univ., Palo Alto, CA
Venue:
Communications of the ACM - Special issue: computing in the frontiers of science and engineering
Year:
1985

Citing 0
Cited 5

DNA vectorgrams: representation of cancer genes as movements on a 2D cellular lattice

IBM Journal of Research and Development
How DENDRAL was conceived and born

A history of medical informatics
Biomedical informatics training at Stanford in the 21st century

Journal of Biomedical Informatics
Review: At a glance: Cellular biology for engineers

Computational Biology and Chemistry
A bibliography on computational molecular biology and genetics

Mathematical and Computer Modelling: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Sophisticated software tools are becoming increasingly important in helping biologists understand how nature operates. Symbolic pattern-recognition and artificial-intelligence methodologies are contributing to the development of such software.