Schlagwort(e):
Animation (Cinematography).
;
Cinematography -- Special effects.
;
Electronic books.
Beschreibung / Inhaltsverzeichnis:
Are we related to Neanderthals? Where did SARS come from? Such questions are answered by statistical and computational analysis of genetic data, and are the vehicle for this entertaining introduction to computational genomics. The case-studies approach with Matlab demos provides an enjoyable way to learn how to analyze genomic data first-hand.
Materialart:
Online-Ressource
Seiten:
1 online resource (202 pages)
Ausgabe:
1st ed.
ISBN:
9780511259425
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=281734
DDC:
572.86072
Sprache:
Englisch
Anmerkung:
Cover -- Half-title -- Title -- Copyright -- Contents -- Preface -- Nothing in biology makes sense except in the light of evolution. -- Prologue In praise of cells -- Why bioinformatics? -- A bit of biology -- The future of biology -- A roadmap to this book -- Reading list -- Chapter 1 The first look at a genome -- 1.1 Genomic era, year zero -- 1.2 The anatomy of a genome -- 1.3 Probabilistic models of genome sequences -- 1.4 Annotating a genome: statistical sequence analysis -- 1.5 Finding data: GenBank, EMBL, and DDBJ -- 1.6 Exercises -- 1.7 Reading list -- Chapter 2 All the sequence's men -- 2.1 The human genome sweepstakes -- 2.2 An introduction to genes and proteins -- 2.3 Genome annotation: gene finding -- 2.4 Detecting spurious signals: hypothesis testing -- 2.5 Exercises -- 2.6 Reading list -- Chapter 3 All in the family -- 3.1 Eye of the tiger -- 3.2 On sequence alignment -- 3.3 On sequence similarity -- 3.4 Sequence alignment: global and local -- 3.4.1 Global alignment -- 3.4.2 Local alignment -- 3.5 Statistical analysis of alignments -- 3.6 BLAST: fast approximate local alignment -- 3.7 Multiple sequence alignment -- 3.8 Computing the alignments -- 3.8.1 Needleman-Wunsch algorithm -- 3.8.2 Smith-Waterman algorithm -- 3.9 Exercises -- 3.10 Reading list -- Chapter 4 The boulevard of broken genes -- 4.1 The nose knows -- 4.2 Hidden Markov models -- 4.3 Profile HMMs -- 4.4 Finding genes with hidden Markov models -- 4.5 Case study: odorant receptors -- 4.5.1 Profile HMMs for odorant receptors -- 4.5.2 Segmenting odorant receptors -- 4.6 Algorithms for HMM computations -- 4.7 Exercises -- 4.8 Reading list -- Chapter 5 Are Neanderthals among us? -- 5.1 Variation in DNA sequences -- 5.2 Mitochondrial DNA: a model for the analysis of variation -- 5.3 Variation between species -- 5.4 Estimating genetic distance -- 5.4.1 The Jukes-Cantor model.
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Jukes-Cantor derivation -- 5.4.2 The Kimura two-parameter model -- 5.4.3 Further models of nucleotide evolution -- 5.5 Case study: are Neanderthals still among us? -- 5.6 Exercises -- 5.7 Reading list -- Chapter 6 Fighting HIV -- 6.1 A mysterious disease -- 6.2 Evolution and natural selection -- 6.3 HIV and the human immune system -- 6.4 Quantifying natural selection on DNA sequences -- 6.5 Estimating K A/K S -- 6.6 Case study: natural selection and the HIV genome -- 6.7 Exercises -- 6.8 Reading list -- Chapter 7 SARS-A post-genomic epidemic -- 7.1 Outbreak -- 7.2 On trees and evolution -- 7.3 Inferring trees -- 7.3.1 Introduction to phylogenetic inference -- 7.3.2 Inferring trees from distance data -- 7.3.3 The neighbor-joining algorithm -- 7.4 Case study: phylogenetic analysis of the SARS epidemic -- 7.4.1 The SARS genome -- 7.4.2 Reconstructing the epidemic -- 7.5 The Newick format -- 7.6 Exercises -- 7.7 Reading list -- Chapter 8 Welcome to the Hotel Chlamydia -- 8.1 Uninvited guests -- 8.2 By leaps and bounds: patterns of genome evolution -- 8.3 Beanbag genomics -- 8.4 Synteny -- 8.5 Exercises -- 8.6 Reading list -- Chapter 9 The genomics of wine-making -- 9.1 Chateau Hajji Feruz Tepe -- 9.2 Monitoring cellular communication -- 9.3 Microarray technologies -- 9.4 Case study: the diauxic shift and yeast gene expression -- 9.4.1 Data description -- 9.4.2 Data clustering -- 9.4.3 Visualization -- 9.5 Bonus case study: cell-cycle regulated genes -- 9.6 Exercises -- 9.7 Reading list -- Chapter 10 A bed-time story -- 10.1 The circadian clock -- 10.2 Basic mechanisms of gene expression -- 10.3 Motif-finding strategies -- 10.4 Case study: the clock again -- 10.5 Exercises -- 10.6 Reading list -- Bibliography -- Index.
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