Now in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people. Books on bioinformatics have traditionally served gene-hunters, and biologists who wish to construct family trees showing tidy lines of descent. While dealing extensively with the exciting topics of gene discovery and database-searching, such books have hardly considered genomes as information channels through which multiple forms and levels of information have passed through the generations. This "new bioinformatics" contrasts with the "old" gene-based bioinformatics that so preoccupies previous texts. Forms of information that we are familiar with (mental, textual) are related to forms with which we are less familiar (hereditary). The book extends a line of evolutionary thought that leads from the nineteenth century (Darwin, Butler, Romanes, Bateson), through the twentieth (Goldschmidt, White), and into the twenty first (the final works of the late Stephen Jay Gould). Long an area of controversy, diverging views may now be reconciled.

William Bateson brought the work of Mendel (and much more) to the attention of the English-speaking world. He commanded the biological sciences in the decades after Darwin's death in 1882. To understand these years we must first understand Bateson. Through examination of the life of a major contributor to the turn-of-the-century revolution in biology, the authors of this volume reconcile the genocentrism of George Williams and Richard Dawkins with the hierarchical thinking of Richard Goldschmidt and Stephen Jay Gould. The anti-Darwinian arguments of Bateson are only now, a century later, gaining recognition. At last, Evolutionists can present a unified front to their creationist opponents.

This biography provides an understanding of William Bateson as well as a reconciliation of diverging views (e.g. the hierarchical thinking of Gould and the genocentrism of George Williams and Richard Dawkins). Evolutionists may thus, at long last, present a unified front to their creationist opponents. The pressing need for this text is apparent from the high percentages reported not to believe in evolution and the growth of the so-called "intelligent design" movement.

Now in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people. Books on bioinformatics have traditionally served gene-hunters, and biologists who wish to construct family trees showing tidy lines of descent. While dealing extensively with the exciting topics of gene discovery and database-searching, such books have hardly considered genomes as information channels through which multiple forms and levels of information have passed through the generations. This "new bioinformatics" contrasts with the "old" gene-based bioinformatics that so preoccupies previous texts. Forms of information that we are familiar with (mental, textual) are related to forms with which we are less familiar (hereditary). The book extends a line of evolutionary thought that leads from the nineteenth century (Darwin, Butler, Romanes, Bateson), through the twentieth (Goldschmidt, White), and into the twenty first (the final works of the late Stephen Jay Gould). Long an area of controversy, diverging views may now be reconciled.

Books on bioinformatics which began appearing in the mid 80s primarily served gene-hunters, and biologists who wished to construct family trees showing tidy lines of descent. Given the great pharmaceutical industry interest in genes, this trend has continued in most subsequent texts. These deal extensively with the exciting topic of gene discovery and searching databases, but hardly consider genomes as information channels through which multiple forms and levels of information, including genic information, have passed through the generations.

Discussing laws in the current research funding decision process, this fascinating work will be an invaluable tool to researchers and health care workers as well as to anyone interested in current trends in this area, including patients.