Evolutionary Bioinformatics

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Forsdyke, Donald R. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2006.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03584nam a22005415i 4500
001 978-0-387-33419-6
003 DE-He213
005 20151204155537.0
007 cr nn 008mamaa
008 100525s2006 xxu| s |||| 0|eng d
020 |a 9780387334196  |9 978-0-387-33419-6 
024 7 |a 10.1007/978-0-387-33419-6  |2 doi 
040 |d GrThAP 
050 4 |a QH324.2-324.25 
072 7 |a PSD  |2 bicssc 
072 7 |a UB  |2 bicssc 
072 7 |a SCI056000  |2 bisacsh 
082 0 4 |a 570.285  |2 23 
100 1 |a Forsdyke, Donald R.  |e author. 
245 1 0 |a Evolutionary Bioinformatics  |h [electronic resource] /  |c by Donald R. Forsdyke. 
264 1 |a Boston, MA :  |b Springer US,  |c 2006. 
300 |a XX, 424 p. 86 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Information and DNA -- Memory — A Phenomenon of Arrangement -- Chargaff’s First Parity Rule -- Information Levels and Barriers -- Parity and Non-Parity -- Chargaff’s Second Parity Rule -- Stems and Loops -- Chargaff’s Cluster Rule -- Mutation and Speciation -- Species Survival and Arrival -- Chargaff’s GC rule -- Conflict within Genomes -- Conflict Resolution -- Exons and Introns -- Complexity -- Conflict between Genomes -- Self/Not-Self? -- The Crowded Cytosol -- Sex and Error-Correction -- Rebooting the Genome -- The Fifth Letter -- Epilogue To Perceive is Not To Select. 
520 |a 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 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. Evolutionary Bioinformatics 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. The book is unique in emphasising non-genic aspects of bioinformatics, and linking modern evolutionary biology to a history that extends back to the nineteenth century. Forms of information that we are familiar with (mental, textual) are related to forms we are less familiar with (hereditary). 
650 0 |a Life sciences. 
650 0 |a Human genetics. 
650 0 |a Proteomics. 
650 0 |a Bioinformatics. 
650 0 |a Evolutionary biology. 
650 0 |a Animal genetics. 
650 0 |a Statistics. 
650 1 4 |a Life Sciences. 
650 2 4 |a Bioinformatics. 
650 2 4 |a Evolutionary Biology. 
650 2 4 |a Animal Genetics and Genomics. 
650 2 4 |a Proteomics. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
650 2 4 |a Human Genetics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780387334189 
856 4 0 |u http://dx.doi.org/10.1007/978-0-387-33419-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBL 
950 |a Biomedical and Life Sciences (Springer-11642)