Computational genome analysis: an introduction
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
Springer
2005
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013173338&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013173338&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | XX, 534 S., [6] Bl. Ill., graph. Darst. |
| ISBN: | 0387987851 9780387987859 |
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Datensatz im Suchindex
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| adam_text | Contents
To the Student
1
1.1
1.2
1.3
1.3.1
1.3.2
1.3.3
1.3.4
1.3.5
1.4
1.4.1 DNA............................................ 20
1.4.2
1.4.3
1.4.4
1.5
1.5.1
1.5.2
1.5.3
References
2
2.1
2.2
2.3
2.3.1
2.3.2
2.3.3
2.3.4
2.4
Contents
2.5
2.6
2.6.1
2.6.2
2.6.3
2.7
2.8
2.9
References
Exercises
Word Distributions and Occurrences
3.1
3.1.1
3.1.2
3.2
3.2.1
3.2.2
3.2.3
3.2.4
3.2.5
3.3
3.4
3.4.1
3.4.2
3.5
3.5.1
3.5.2
3.6
References
Exercises
Physical Mapping of
4.1
4.2
4.2.1
4.2.2
4.2.3
4.2.4
4.3
4.4
4.5
4.5.1
4.5.2
4.5.3
Contents xv
4.6 Minimal
References
Exercises
5
5.1
5.1.1
5.1.2
5.2
5.2.1
5.2.2
5.2.3
Permutations
5.3
Segments
5.4
5.4.1
5.4.2
5.4.3
Genomes
References
Exercises
6
6.1
6.2
6.3
6.4
6.5
6.6
6.7
6.8
References
Exercises
7
7.1
7.2
7.2.1
7.2.2
7.2.3
7.3
7.3.1
7.3.2
7.4
xvi Contents
7.4.1
7.4.2
7.5
7.5.1
7.5.2
7.5.3
7.6
References
Exercises
8 DNA
8.1
8.2
8.2.1
8.2.2
8.2.3
8.3
Alignment
8.4
8.4.1
8.4.2
8.4.3
Genomes
References
Exercises
9
9.1
9.1.1
Experimentally?
9.1.2
9.1.3
9.2
9.2.1
9.2.2
9.3
9.4
9.5
9.6
References
Exercises
Contents xvii
10
10.1
10.2
10.3
10.3.1
Continuous Scales
10.3.2
10.4
10.4.1
10.4.2
Clustering
10.5
10.6
References
Exercises
11
11.1
11.2
11.3
11.3.1
11.3.2
11.4
11.4.1
11.4.2
11.4.3
11.5
11.5.1
11.5.2
11.5.3
11.6
11.6.1
11.6.2
11.6.3
11.6.4
11.7
11.7.1
11.7.2
11.8
References
Exercises
xviii Contents
12
12.1
12.1.1
12.1.2
12.1.3
12.2
12.2.1
12.2.2
12.3
12.3.1
12.3.2
12.4
12.4.1
12.4.2
12.5
12.5.1
12.5.2
12.5.3
12.5.4
12.6
References
Exercises
13
13.1
13.2
13.3
13.3.1
13.3.2
13.4
13.4.1
13.4.2
13.5
13.5.1
13.5.2
13.5.3
13.6
13.7
13.7.1
13.7.2
13.7.3
13.8
13.8.1
13.8.2
Sequences
Contents xix
13.8.3
13.8.4
13.9
References
Exercises
14
14.1
14.2
14.3
14.3.1
14.3.2
Segmental
14.3.3
14.4
14.4.1
14.4.2
14.4.3
14.4.4
14.5
14.5.1
14.5.2
14.5.3
14.6
References
Glossary
A A Brief Introduction to R
A.I Obtaining R and Documentation
A.2 First Steps
A.2.1 Starting, Stopping, and Getting Help
A.2.2 Objects
A.3 Types of Objects
A.4 Computations
A.
A.6 Functions
A.6.1 Writing Functions
A.6.2 Loops
A.6.3 Libraries
A.7 Graphics
A.7.1 Basic Plotting
A.7.2 Histograms
References
Contents
Internet Bioinformatics Resources.........................499
B.l General
B.l.l National Center
B.l.2
B.l.3 Science Magazine
B.2 Databases..............................................501
B.3 Applications............................................504
B.4
Miscellaneous Data
Cl IUPAC-IUB
C.2
C.3
C.4
C.5 Preprocessing of Microarray Data
References
Computational Genome Analysis: An Introduction presents the foundations of key problems in com¬
putational molecular biology and bioinformatics. It focuses on computational and statistical princi¬
ples applied to genomes, and introduces the mathematics and statistics that are crucial for under¬
standing these applications. This book is appropriate for a one-semester course for advanced under¬
graduate or beginning graduate students, and it can also introduce computational biology to com¬
puter scientists, mathematicians, or biologists who are extending their interests into this exciting field.
This book features:
•
nals, analysis of gene expression, and human genetic variation.
•
•
package.
•
•More than
results from the primary literature.
•
Richard C. Deonier is Professor Emeritus in the Molecular and Computational Biology Section of
the Department of Biological Sciences at the University of Southern California. Originally trained
as a physical biochemist, his major research has been in areas of molecular genetics, with particular
interests in physical methods for gene mapping, bacterial transposable elements, and conjugative
plasmids. During
biology at both the undergraduate and graduate levels.
Simon
Professor of Biological Sciences, Mathematics, and Preventive Medicine at the University of
Southern California. Professor
specifically focusing on problems arising in molecular biology, human genetics, population genet¬
ics, molecular evolution, and bioinformatics. His statistical interests focus on stochastic computa¬
tion. Among the applications are linkage disequilibrium mapping, stem cell evolution, and inference
in the fossil record. Dr.
of Cambridge, England, where his group concentrates on cancer
Michael
Professor of Biological Sciences, Computer Science, and Mathematics at the University of Southern
California. A member of the National Academy of Sciences and the American Academy of Arts and
Sciences, Professor Waterman is Founding Editor and Co-Editor in Chief of the Journal of
Computational Biology. His research has focused on computational analysis of molecular sequence
data. His best-known work is the co-development of the local alignment Smith—Waterman algo¬
rithm, which has become the foundational tool for database search methods. His interests have also
encompassed physical mapping, as exemplified by the Lander-Waterman formulas, and genome
sequence assembly using an Eulerian path method.
|
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| indexdate | 2024-12-20T12:07:11Z |
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| isbn | 0387987851 9780387987859 |
| language | English |
| lccn | 2004059191 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-013173338 |
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| spellingShingle | Deonier, Richard C. Tavaré, Simon Waterman, Michael S. Computational genome analysis an introduction Computers gtt Genetica gtt Génétique - Mathématiques Moleculaire biologie gtt Statistische methoden gtt aGenetics xMathematics Bioinformatik (DE-588)4611085-9 gnd Mathematische Methode (DE-588)4155620-3 gnd Genanalyse (DE-588)4200230-8 gnd |
| subject_GND | (DE-588)4611085-9 (DE-588)4155620-3 (DE-588)4200230-8 |
| title | Computational genome analysis an introduction |
| title_auth | Computational genome analysis an introduction |
| title_exact_search | Computational genome analysis an introduction |
| title_full | Computational genome analysis an introduction Richard C. Deonier ; Simon Tavaré ; Michael S. Waterman |
| title_fullStr | Computational genome analysis an introduction Richard C. Deonier ; Simon Tavaré ; Michael S. Waterman |
| title_full_unstemmed | Computational genome analysis an introduction Richard C. Deonier ; Simon Tavaré ; Michael S. Waterman |
| title_short | Computational genome analysis |
| title_sort | computational genome analysis an introduction |
| title_sub | an introduction |
| topic | Computers gtt Genetica gtt Génétique - Mathématiques Moleculaire biologie gtt Statistische methoden gtt aGenetics xMathematics Bioinformatik (DE-588)4611085-9 gnd Mathematische Methode (DE-588)4155620-3 gnd Genanalyse (DE-588)4200230-8 gnd |
| topic_facet | Computers Genetica Génétique - Mathématiques Moleculaire biologie Statistische methoden aGenetics xMathematics Bioinformatik Mathematische Methode Genanalyse |
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Teilbibliothek Weihenstephan
| Signatur: |
1002 BIO 110f 2005 A 7248 Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |