<P>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 e
Evolutionary Bioinformatics
β Scribed by Donald R. Forsdyke (auth.)
- Publisher
- Springer International Publishing
- Year
- 2016
- Tongue
- English
- Leaves
- 494
- Edition
- 3
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 βnew bioinformaticsβ 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.
β¦ Table of Contents
Front Matter....Pages i-xxxiv
Front Matter....Pages 1-1
Memory: A Phenomenon of Arrangement....Pages 3-24
Chargaffβs First Parity Rule....Pages 25-42
Information Levels and Barriers....Pages 43-60
Front Matter....Pages 61-61
Chargaffβs Second Parity Rule....Pages 63-82
Stems and Loops....Pages 83-101
Chargaffβs Cluster Rule....Pages 103-118
Front Matter....Pages 119-119
Mutation....Pages 121-140
Species Survival and Arrival....Pages 141-156
The Weak Point....Pages 157-173
Chargaffβs GC rule....Pages 175-192
Homostability....Pages 193-206
Front Matter....Pages 207-207
Conflict Resolution....Pages 209-234
Exons and Introns....Pages 235-252
Complexity....Pages 253-276
Front Matter....Pages 277-277
Self/Not-Self?....Pages 279-303
The Crowded Cytosol....Pages 305-323
Front Matter....Pages 325-325
Rebooting the Genome....Pages 327-350
The Fifth Letter....Pages 351-363
Front Matter....Pages 365-365
Memory: What Is Arranged and Where?....Pages 367-380
Certainty Now Uncertain....Pages 381-394
Back Matter....Pages 395-471
β¦ Subjects
Evolutionary Biology; Systems Biology; Proteomics; Statistics for Life Sciences, Medicine, Health Sciences; Human Genetics
π SIMILAR VOLUMES
<p>Evolutionary Bioinformatics 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
Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In particular, there are many problems in biology that are too large to solve with standard methods. Researche
Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In particular, there are many problems in biology that are too large to solve with standard methods. Researche