Visualzing Biological Information

cliff cliff at watson.ibm.com
Tue Apr 30 09:58:31 EST 1996

   I notice that www.amazon.com lists the following book which may
be of interest to this newsgroup. 
Pickover, C (1995) Visualizing Biological Information.
World Scientific: River Edge, NJ.

Table of Contents: 
A Picture of the Genetic Code - Rosemarie Swanson and Stanley Swanson 
Graphic Representations of Amino Acid Sequences 
  - Ann Williams, Kelly D. Chenault, and Ulrich Melcher 
Representing Protein Sequence and Three-Dimensional Structure in Two Dimensions   - Rosemarie Swanson 
Visual Display of Sequence Conservation as an Aid to Taxonomic Classification Using PCR Amplification 
 - Peter K. Rogan, Joseph J. Salvo, R, Michael Stephens, and Thomas D. Schneider
Perceptible Features in Graphical Representation of Nucleic Acid Sequences 
 - Jacques Ninio and Eduardo Mizraji 
Representations of Protein Patterns From 2D Gel Electrophoresis Databases
 - Peter K. Lemkin 
A Protein Visualization Program - D. A. Kuznetsov and H.A. Lim 
Gene Music: Tonal Assignments of Bases and Amino Acids
 - Nobou Munakata and Kenshi Hayashi 
Diagrammatic Representation of Base Composition in DNA Sequences 
 - Chun-Ting Zhang 
A Transforming Function for the Generation of Fractal Functions from Nucleotide Sequences - Jose Campione-Piccardo 
Visualization of Open Reading Frames in mRNA Sequences 
  - Perry B. Hackett, Mark W. Dalton, Darrin P.Johnson, and Melvin R. Duvall 
Visualization of Protein Sequences using the 2D Hydrophobic Cluster
 Analysis Method (HCA)
  - Michel T. Semertzidis, Etienne Thoreau, Anne Tasso, Bernard Henrissat,
    Isabelle Callebaut, and Jean Paul Mornon 
Diagnosis of Complex Patterns in Protein Sequences 
  - T. K. Attwood and D. J. Parry-Smith 
RNA Folding and Evolution - Kenji Yamamoto and Hiroshi Yoshikura 
Representation of Biological Sequences Using Point Geometry Analysis 
 - Y. K. Huen 

   From the jacket blurb: Biological data of all kinds are 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. Pickover'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 find pattern and meaning in the cacophony of sequence
data using both computer graphics, fractals, and musical techniques.

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