1.4 The Organization of This Book
7
Fig. 1.2 Another (partial) ontology for bioinformatics. Information flows are shown by dashed
lines. Note that behaviour can also influence genotype, by determining the selection of mating
partners
1.4
The Organization of This Book
The book is organized into five main parts. Part I essentially expands and continues
this introductory chapter, dealing with the big themes of genome, phenotype and
environment and their interrelationships; regulation (i.e., how the phenotype and
ultimately the genome survive in their environment); evolution (i.e., phylogenetic
adaptation); and the history of life, on Earth and possibly elsewhere, back to its
inception on Earth.
Part II covers, largely heuristically, the concept of information and some essen-
tial basic knowledge associated with it—what one needs to know in order to make
sense of the application of information theory to biology—including elements of
combinatorics and probability theory, pattern recognition, clustering, and so forth.
Complementary to that is Part III, a compact primer on biology, both organismal
and molecular. Part IV covers “omics” and regulatory networks; finally Part V deals
with applications, mainly in the medical field, and concludes with a chapter on the
structure of knowledge, big data and the automation of research. 6
For various reasons, including experimental ones, the usual procedure in the phys-
ical sciences, which is first to assign numbers to the phenomenon under investigation
and then to manipulate the numbers according to the usual rules of mathematics, both
operations being publicly declared and publicly accessible, is often confounded in
6 Practical programming and database handling are left out since many books already cover these
topics; even more pertinently, new resources are continually appearing online and the reader would
be well advised to search for appropriate tools when they are required.