Bioinformatics: an introductory textbook
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Springer
[2023]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | IX, 357 Seiten Illustrationen |
| ISBN: | 9783662650356 |
Internformat
MARC
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| 008 | 220706s2023 gw a||| |||| 00||| eng d | ||
| 016 | 7 | |a 1250595045 |2 DE-101 | |
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| 100 | 1 | |a Dandekar, Thomas |d 1960- |e Verfasser |0 (DE-588)120961059 |4 aut | |
| 240 | 1 | 0 | |a Bioinformatik |
| 245 | 1 | 0 | |a Bioinformatics |b an introductory textbook |c Thomas Dandekar, Meik Kunz |
| 264 | 1 | |a Berlin |b Springer |c [2023] | |
| 300 | |a IX, 357 Seiten |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Bioinformatik |0 (DE-588)4611085-9 |2 gnd |9 rswk-swf |
| 653 | |a Bioinformatics | ||
| 653 | |a Biomedicine | ||
| 653 | |a Computer | ||
| 653 | |a Information | ||
| 653 | |a Life | ||
| 653 | |a Systems Biology | ||
| 655 | 7 | |0 (DE-588)4123623-3 |a Lehrbuch |2 gnd-content | |
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| 700 | 1 | |a Kunz, Meik |e Verfasser |0 (DE-588)1154721302 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-662-65036-3 |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033696571&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033696571 | ||
| 883 | 1 | |8 1\p |a vlb |d 20220129 |q DE-101 |u https://d-nb.info/provenance/plan#vlb | |
Datensatz im Suchindex
| _version_ | 1804184172012503041 |
|---|---|
| adam_text | PART
I
HOW
DOES
BIOINFORMATICS
WORK?
1
1
SEQUENCE
ANALYSIS:
DECIPHERING
THE
LANGUAGE
OF
LIFE
3
1.1
HOW
DO
I
START
MY
BIOINFORMATICS
ANALYSIS?
USEFUL
LINKS
AND
TOOLS.
...
7
1.2
PROTEIN
ANALYSIS
IS
EASY
WITH
THE
RIGHT
TOOL
............................................
13
1.3
EXERCISES
FOR
CHAP.
1
..................................................................................
18
LITERATURE
..............................................................................................................
21
2
MAGIC
RNA
23
2.1
RNA
SEQUENCES
ARE
BIOLOGICALLY
ACTIVE
....................................................
23
2.2
ANALYSIS
OF
RNA
SEQUENCE,
STRUCTURE
AND
FUNCTION
..................................
25
2.3
EXERCISES
FOR
CHAP.
2
..................................................................................
28
LITERATURE
..............................................................................................................
32
3
GENOMES:
MOLECULAR
MAPS
OF
LIVING
ORGANISMS
35
3.1
SEQUENCING
GENOMES:
SPELLING
GENOMES
..................................................
35
3.2
DECIPHERING
THE
HUMAN
GENOME
................................................................
38
3.3
A
PROFILE
OF
THE
HUMAN
GENOME
................................................................
39
3.4
EXERCISES
FOR
CHAP.
3
..................................................................................
41
LITERATURE
..............................................................................................................
44
4
MODELING
METABOLISM
AND
FINDING
NEW
ANTIBIOTICS
47
4.1
HOW
CAN
I
MODEL
METABOLISM
BIOINFORMATICALLY
?
....................................
48
4.2
USEFUL
TOOLS
FOR
METABOLIC
MODELLING
........................................................
51
4.3
EXERCISES
FOR
CHAP.
4
..................................................................................
53
LITERATURE
..............................................................................................................
54
5
SYSTEMS
BIOLOGY
HELPS
TO
DISCOVER
CAUSES
OF
DISEASE
57
5.1
APPLICATION
EXAMPLE:
HOW
DOES
PHOSPHORYLATION
CAUSE
HEART
FAILURE?
.
58
5.2
GENERALIZATION:
HOW
TO
BUILD
A
SYSTEMS
BIOLOGY
MODEL?
........................
63
5.3
EXERCISES
FOR
CHAP.
5
..................................................................................
68
LITERATURE
..............................................................................................................
72
V
VI
CONTENTS
PART
II
HOW
DO
I
UNDERSTAND
BIOINFORMATICS?
75
6
EXTREMELY
FAST
SEQUENCE
COMPARISONS
IDENTIFY
ALL
THE
MOLECULES
THAT
ARE
PRESENT
IN
THE
CELL
77
6.1
FAST
SEARCH:
BLAST
AS
AN
EXAMPLE
FOR
A
HEURISTIC
SEARCH
......................
78
6.2
MAINTENANCE
OF
DATABASES
AND
ACCELERATION
OF
PROGRAMS
..........................
79
6.3
EXERCISES
FOR
CHAP.
6
..................................................................................
83
LITERATURE
..............................................................................................................
84
7
HOW
TO
BETTER
UNDERSTAND
SIGNAL
CASCADES
AND
MEASURE
THE
ENCODED
INFORMATION
85
7.1
CODING
WITH
BITS
........................................................................................
85
7.2
THE
DIFFERENT
LEVELS
OF
CODING
..................................................................
86
7.3
UNDERSTANDING
CODING
BETTER
....................................................................
87
7.4
EXERCISES
FOR
CHAP.
7
..................................................................................
90
LITERATURE
..............................................................................................................
91
8
WHEN
DOES
THE
COMPUTER
STOP
CALCULATING?
93
8.1
WHEN
DOES
IT
BECOME
A
CHALLENGE
FOR
THE
COMPUTER?
...............................
94
8.2
COMPLEXITY
AND
COMPUTING
TIME
OF
SOME
ALGORITHMS
.............................
95
8.3
INFORMATIC
SOLUTIONS
FOR
COMPUTATIONALLY
INTENSIVE
BIOINFORMATICS
PROBLEMS
....................................................................................................
97
8.4
NP
PROBLEMS
ARE
NOT
EASY
TO
GRASP
...........................................................
99
8.5
EXERCISES
FOR
CHAP.
8
.....................................................................................
101
LITERATURE
.................................................................................................................
102
9
COMPLEX
SYSTEMS
BEHAVE
FUNDAMENTALLY
IN
A
SIMILAR
WAY
103
9.1
COMPLEX
SYSTEMS
AND
THEIR
BEHAVIOUR
........................................................
103
9.2
OPENING
UP
COMPLEX
SYSTEMS
USING
OMICS
TECHNIQUES
............................
107
9.3
TYPICAL
BEHAVIOUR
OF
SYSTEMS
......................................................................
110
9.4
SYSTEM CREDENTIALS:
EMERGENCE,
MODULAR
CONSTRUCTION,
POSITIVE
AND
NEGATIVE
SIGNAL
RETURN
LOOPS
...................................................
112
9.5
PIONEERS
OF
SYSTEMS
SCIENCE
.........................................................................
114
9.6
WHICH
SYSTEMS
BIOLOGY
SOFTWARE
CAN
I
USE?
.............................................
117
9.7
EXERCISES
FOR
CHAP.
9
.....................................................................................
119
LITERATURE
.................................................................................................................
120
10
UNDERSTAND
EVOLUTION
BETTER
APPLYING
THE
COMPUTER
123
10.1
A
BRIEF
OVERVIEW
OF
EVOLUTION
FROM
THE
ORIGIN
OF
LIFE
TO
THE
PRESENT
DAY
.................................................................................................
124
10.2
CONSIDERING
EVOLUTION:
CONSERVED
AND
VARIABLE
AREAS
...............................
128
10.3
MEASURING
EVOLUTION:
SEQUENCE
AND
SECONDARY
STRUCTURE
.........................
128
10.4
DESCRIBING
EVOLUTION:
PHYLOGENETIC
TREES
...................................................
130
10.5
PROTEIN
EVOLUTION:
RECOGNIZING
DOMAINS
...................................................
132
CONTENTS
VII
10.6
EXERCISES
FOR
CHAP.
10
.................................................................................
135
LITERATURE
................................................................................................................
136
11
DESIGN
PRINCIPLES
OF
A
CELL
139
11.1
BIOINFORMATICS
PROVIDES
AN
OVERVIEW
OF
THE
DESIGN
OF
A
CELL
...................
140
11.2
BIOINFORMATICS
PROVIDES
DETAILED
INSIGHTS
INTO
THE
MOLECULAR
BIOLOGY
OF
THE
CELL
............................................................................
140
11.3
EXERCISES
FOR
CHAP.
11
.................................................................................
147
LITERATURE
................................................................................................................
152
PART
III
WHAT
IS
CATCHING
AND
FASCINATING
ABOUT
BIOINFORMATICS?
155
12
LIFE
CONTINUOUSLY
ACQUIRES
NEW
INFORMATION
IN DIALOGUE WITH
THE
ENVIRONMENT
159
12.1
MOLECULAR
WORDS
ONLY
EVER
MAKE
SENSE
IN
THE
CONTEXT
OF
THE
CELL
....
160
12.2
PRINTING
ERRORS
ARE
CONSTANTLY
SELECTED
AWAY
IN
THE
CELL
.........................
164
12.3
EXERCISES
FOR
CHAP.
12
................................................................................
169
LITERATURE
................................................................................................................
169
13
LIFE
INVENTS
EVER
NEW
LEVELS
OF
LANGUAGE
171
13.1
THE
DIFFERENT
LANGUAGES
AND
CODES
IN
A
CELL
............................................
172
13.2
NEW
MOLECULAR,
CELLULAR
AND
INTERCELLULAR
LEVELS
AND
TYPES
OF
LANGUAGE
ARE
EMERGING
ALL
THE
TIME
....................................................
174
13.3
INNOVATION:
SYNTHETIC
BIOLOGY
.....................................................................
177
13.4
NEW
LEVELS
OF
COMMUNICATION
THROUGH
TECHNOLOGY
.................................
178
13.5
THE
INTERNET
-
A
NEW
LEVEL
OF
COMMUNICATION
.........................................
179
13.6
A
PARALLEL
LANGUAGE
LEVEL:
NATURAL
AND
ANALOGUE
COMPUTATION
.............
181
13.7
FUTURE
LEVEL
OF
COMMUNICATION:
THE
NANOCELLULOSE
CHIP
.........................
182
13.8
USING
THE
LANGUAGE
OF
LIFE
TECHNICALLY
WITH
THE
HELP
OF
SYNTHETIC
BIOLOGY
........................................................................................................
185
13.9
EXERCISES
FOR
CHAP.
13
................................................................................
192
LITERATURE
................................................................................................................
193
14
WE
CAN
THINK
ABOUT
OURSELVES
-
THE
COMPUTER
CANNOT
197
14.1
PEOPLE
QUESTION,
COMPUTERS
FOLLOW
PROGRAMS
...........................................
198
14.2
ARTIFICIAL
INTELLIGENCE
..............................................................................
200
14.3
CURRENT
APPLICATIONS
OF
ARTIFICIAL
INTELLIGENCE
IN
BIOINFORMATICS
............
203
14.4
BIOLOGICAL
INTELLIGENCE
................................................................................
207
14.5
EXERCISES
FOR
CHAP.
14
................................................................................
208
LITERATURE
................................................................................................................
209
VIII
CONTENTS
15
HOW
IS
OUR
OWN
EXTREMELY
POWERFUL
BRAIN
CONSTRUCTED?
213
15.1
MODULAR
CONSTRUCTION LEADS
TO
EVER
NEW
PROPERTIES
-
UP
TO
CONSCIOUSNESS
.............................................................................................
214
15.2
BIOINFORMATICS
HELPS
TO
BETTER DESCRIBE
THE
BRAIN
....................................
217
15.3
BRAIN
BLUEPRINTS
..........................................................................................
219
15.4
POSSIBLE
OBJECTIVES
....................................................................................
220
15.5
EXERCISES
FOR
CHAP.
15
.................................................................................
222
LITERATURE
.................................................................................................................
223
16
BIOINFORMATICS
CONNECTS
LIFE
WITH
THE
UNIVERSE
AND
ALL
THE
REST
225
16.1
SOLVING
PROBLEMS
USING
BIOINFORMATICS
.....................................................
226
16.2
MODEL
AND
MITIGATE
GLOBAL
PROBLEMS
.........................................................
229
16.3
GLOBAL
DIGITALISATION
AND
PERSONAL
SPACE
...................................................
233
16.4
WHAT
ARE
THE
TASKS
FOR
MODERN
BIOINFORMATICS
IN
THE
INTERNET
AGE?
....
237
16.5
EXERCISES
FOR
CHAP.
16
.................................................................................
239
LITERATURE
.................................................................................................................
240
17
CONCLUSION
AND
SUMMARY
243
PART
IV
GLOSSARY,
TUTORIAL,
SOLUTIONS
AND
WEB
LINKS
247
18
GLOSSARY
249
19
TUTORIAL:
AN
OVERVIEW
OF
IMPORTANT
DATABASES
AND
PROGRAMS
267
19.1
GENOMIC
DATA:
FROM
SEQUENCE
TO
STRUCTURE
AND
FUNCTION
.........................
267
19.2
RNA:
SEQUENCE,
STRUCTURE
ANALYSIS
AND
CONTROL
OF
GENE
EXPRESSION
...
278
19.3
PROTEINS:
INFORMATION,
STRUCTURE,
DOMAINS,
LOCALIZATION,
SECRETION
AND
TRANSPORT
...............................................................................
282
19.4
CELLULAR
COMMUNICATION,
SIGNALLING
CASCADES,
METABOLISM,
SHANNON
ENTROPY
.........................................................................................
289
19.5
LIFE
ALWAYS
INVENTS
NEW
LEVELS
OF
LANGUAGE
...........................................
295
19.6
INTRODUCTION
TO
PROGRAMMING
(META
TUTORIAL)
.............................................
20
SOLUTIONS
TO
THE
EXERCISES
307
20.1
SEQUENCE
ANALYSIS:
DECIPHERING
THE
LANGUAGE
OF
LIFE
...............................
307
20.2
MAGIC
RNA
.................................................................................................
309
20.3
GENOMES
-
MOLECULAR
MAPS
OF
LIVING
ORGANISMS
.....................................
314
20.4
MODELING
METABOLISM
AND
FINDING
NEW
ANTIBIOTICS
...................................
318
20.5
SYSTEMS
BIOLOGY
HELPS
TO
DISCOVER
THE
CAUSES
OF
DISEASE
.........................
319
20.6
EXTREMELY
FAST
SEQUENCE
COMPARISONS
IDENTIFY
ALL
THE
MOLECULES
THAT
ARE
PRESENT
IN
THE
CELL
..............................................................
322
20.7
HOW
TO
BETTER
UNDERSTAND
SIGNAL
CASCADES
AND MEASURE
THE
ENCODED
INFORMATION
.............................................................................
325
20.8
WHEN
DOES
THE
COMPUTER
STOP
CALCULATING?
.............................................
330
CONTENTS
IX
20.9
COMPLEX
SYSTEMS
BEHAVE
FUNDAMENTALLY
IN
A
SIMILAR
WAY
....................
331
20.10 UNDERSTAND
EVOLUTION
BETTER
APPLYING
THE
COMPUTER
..............................
333
20.11
DESIGN
PRINCIPLES
OF
A
CELL
......................................................................
336
20.12
LIFE
CONTINUOUSLY
ACQUIRES
NEW
INFORMATION
IN
DIALOGUE
WITH
THE
ENVIRONMENT
..............................................................................................
341
20.13
LIFE
ALWAYS
INVENTS
NEW
LEVELS
OF
LANGUAGE
........................................
342
20.14
WE
CAN
THINK
ABOUT
OURSELVES
-
THE
COMPUTER
CANNOT
........................
347
20.15
HOW
IS
OUR
OWN
EXTREMELY
POWERFUL
BRAIN
CONSTRUCTED?
......................
349
20.16
BIOINFORMATICS
CONNECTS
LIFE
WITH
THE
UNIVERSE
AND
ALL
THE
REST
.........
350
LITERATURE
................................................................................................................
351
OVERVIEW
OF
IMPORTANT
DATABASES
AND
PROGRAMS
AND
THEIR
GENERAL
USE
353
|
| adam_txt |
PART
I
HOW
DOES
BIOINFORMATICS
WORK?
1
1
SEQUENCE
ANALYSIS:
DECIPHERING
THE
LANGUAGE
OF
LIFE
3
1.1
HOW
DO
I
START
MY
BIOINFORMATICS
ANALYSIS?
USEFUL
LINKS
AND
TOOLS.
.
7
1.2
PROTEIN
ANALYSIS
IS
EASY
WITH
THE
RIGHT
TOOL
.
13
1.3
EXERCISES
FOR
CHAP.
1
.
18
LITERATURE
.
21
2
MAGIC
RNA
23
2.1
RNA
SEQUENCES
ARE
BIOLOGICALLY
ACTIVE
.
23
2.2
ANALYSIS
OF
RNA
SEQUENCE,
STRUCTURE
AND
FUNCTION
.
25
2.3
EXERCISES
FOR
CHAP.
2
.
28
LITERATURE
.
32
3
GENOMES:
MOLECULAR
MAPS
OF
LIVING
ORGANISMS
35
3.1
SEQUENCING
GENOMES:
SPELLING
GENOMES
.
35
3.2
DECIPHERING
THE
HUMAN
GENOME
.
38
3.3
A
PROFILE
OF
THE
HUMAN
GENOME
.
39
3.4
EXERCISES
FOR
CHAP.
3
.
41
LITERATURE
.
44
4
MODELING
METABOLISM
AND
FINDING
NEW
ANTIBIOTICS
47
4.1
HOW
CAN
I
MODEL
METABOLISM
BIOINFORMATICALLY
?
.
48
4.2
USEFUL
TOOLS
FOR
METABOLIC
MODELLING
.
51
4.3
EXERCISES
FOR
CHAP.
4
.
53
LITERATURE
.
54
5
SYSTEMS
BIOLOGY
HELPS
TO
DISCOVER
CAUSES
OF
DISEASE
57
5.1
APPLICATION
EXAMPLE:
HOW
DOES
PHOSPHORYLATION
CAUSE
HEART
FAILURE?
.
58
5.2
GENERALIZATION:
HOW
TO
BUILD
A
SYSTEMS
BIOLOGY
MODEL?
.
63
5.3
EXERCISES
FOR
CHAP.
5
.
68
LITERATURE
.
72
V
VI
CONTENTS
PART
II
HOW
DO
I
UNDERSTAND
BIOINFORMATICS?
75
6
EXTREMELY
FAST
SEQUENCE
COMPARISONS
IDENTIFY
ALL
THE
MOLECULES
THAT
ARE
PRESENT
IN
THE
CELL
77
6.1
FAST
SEARCH:
BLAST
AS
AN
EXAMPLE
FOR
A
HEURISTIC
SEARCH
.
78
6.2
MAINTENANCE
OF
DATABASES
AND
ACCELERATION
OF
PROGRAMS
.
79
6.3
EXERCISES
FOR
CHAP.
6
.
83
LITERATURE
.
84
7
HOW
TO
BETTER
UNDERSTAND
SIGNAL
CASCADES
AND
MEASURE
THE
ENCODED
INFORMATION
85
7.1
CODING
WITH
BITS
.
85
7.2
THE
DIFFERENT
LEVELS
OF
CODING
.
86
7.3
UNDERSTANDING
CODING
BETTER
.
87
7.4
EXERCISES
FOR
CHAP.
7
.
90
LITERATURE
.
91
8
WHEN
DOES
THE
COMPUTER
STOP
CALCULATING?
93
8.1
WHEN
DOES
IT
BECOME
A
CHALLENGE
FOR
THE
COMPUTER?
.
94
8.2
COMPLEXITY
AND
COMPUTING
TIME
OF
SOME
ALGORITHMS
.
95
8.3
INFORMATIC
SOLUTIONS
FOR
COMPUTATIONALLY
INTENSIVE
BIOINFORMATICS
PROBLEMS
.
97
8.4
NP
PROBLEMS
ARE
NOT
EASY
TO
GRASP
.
99
8.5
EXERCISES
FOR
CHAP.
8
.
101
LITERATURE
.
102
9
COMPLEX
SYSTEMS
BEHAVE
FUNDAMENTALLY
IN
A
SIMILAR
WAY
103
9.1
COMPLEX
SYSTEMS
AND
THEIR
BEHAVIOUR
.
103
9.2
OPENING
UP
COMPLEX
SYSTEMS
USING
OMICS
TECHNIQUES
.
107
9.3
TYPICAL
BEHAVIOUR
OF
SYSTEMS
.
110
9.4
SYSTEM CREDENTIALS:
EMERGENCE,
MODULAR
CONSTRUCTION,
POSITIVE
AND
NEGATIVE
SIGNAL
RETURN
LOOPS
.
112
9.5
PIONEERS
OF
SYSTEMS
SCIENCE
.
114
9.6
WHICH
SYSTEMS
BIOLOGY
SOFTWARE
CAN
I
USE?
.
117
9.7
EXERCISES
FOR
CHAP.
9
.
119
LITERATURE
.
120
10
UNDERSTAND
EVOLUTION
BETTER
APPLYING
THE
COMPUTER
123
10.1
A
BRIEF
OVERVIEW
OF
EVOLUTION
FROM
THE
ORIGIN
OF
LIFE
TO
THE
PRESENT
DAY
.
124
10.2
CONSIDERING
EVOLUTION:
CONSERVED
AND
VARIABLE
AREAS
.
128
10.3
MEASURING
EVOLUTION:
SEQUENCE
AND
SECONDARY
STRUCTURE
.
128
10.4
DESCRIBING
EVOLUTION:
PHYLOGENETIC
TREES
.
130
10.5
PROTEIN
EVOLUTION:
RECOGNIZING
DOMAINS
.
132
CONTENTS
VII
10.6
EXERCISES
FOR
CHAP.
10
.
135
LITERATURE
.
136
11
DESIGN
PRINCIPLES
OF
A
CELL
139
11.1
BIOINFORMATICS
PROVIDES
AN
OVERVIEW
OF
THE
DESIGN
OF
A
CELL
.
140
11.2
BIOINFORMATICS
PROVIDES
DETAILED
INSIGHTS
INTO
THE
MOLECULAR
BIOLOGY
OF
THE
CELL
.
140
11.3
EXERCISES
FOR
CHAP.
11
.
147
LITERATURE
.
152
PART
III
WHAT
IS
CATCHING
AND
FASCINATING
ABOUT
BIOINFORMATICS?
155
12
LIFE
CONTINUOUSLY
ACQUIRES
NEW
INFORMATION
IN DIALOGUE WITH
THE
ENVIRONMENT
159
12.1
MOLECULAR
WORDS
ONLY
EVER
MAKE
SENSE
IN
THE
CONTEXT
OF
THE
CELL
.
160
12.2
PRINTING
ERRORS
ARE
CONSTANTLY
SELECTED
AWAY
IN
THE
CELL
.
164
12.3
EXERCISES
FOR
CHAP.
12
.
169
LITERATURE
.
169
13
LIFE
INVENTS
EVER
NEW
LEVELS
OF
LANGUAGE
171
13.1
THE
DIFFERENT
LANGUAGES
AND
CODES
IN
A
CELL
.
172
13.2
NEW
MOLECULAR,
CELLULAR
AND
INTERCELLULAR
LEVELS
AND
TYPES
OF
LANGUAGE
ARE
EMERGING
ALL
THE
TIME
.
174
13.3
INNOVATION:
SYNTHETIC
BIOLOGY
.
177
13.4
NEW
LEVELS
OF
COMMUNICATION
THROUGH
TECHNOLOGY
.
178
13.5
THE
INTERNET
-
A
NEW
LEVEL
OF
COMMUNICATION
.
179
13.6
A
PARALLEL
LANGUAGE
LEVEL:
NATURAL
AND
ANALOGUE
COMPUTATION
.
181
13.7
FUTURE
LEVEL
OF
COMMUNICATION:
THE
NANOCELLULOSE
CHIP
.
182
13.8
USING
THE
LANGUAGE
OF
LIFE
TECHNICALLY
WITH
THE
HELP
OF
SYNTHETIC
BIOLOGY
.
185
13.9
EXERCISES
FOR
CHAP.
13
.
192
LITERATURE
.
193
14
WE
CAN
THINK
ABOUT
OURSELVES
-
THE
COMPUTER
CANNOT
197
14.1
PEOPLE
QUESTION,
COMPUTERS
FOLLOW
PROGRAMS
.
198
14.2
ARTIFICIAL
INTELLIGENCE
.
200
14.3
CURRENT
APPLICATIONS
OF
ARTIFICIAL
INTELLIGENCE
IN
BIOINFORMATICS
.
203
14.4
BIOLOGICAL
INTELLIGENCE
.
207
14.5
EXERCISES
FOR
CHAP.
14
.
208
LITERATURE
.
209
VIII
CONTENTS
15
HOW
IS
OUR
OWN
EXTREMELY
POWERFUL
BRAIN
CONSTRUCTED?
213
15.1
MODULAR
CONSTRUCTION LEADS
TO
EVER
NEW
PROPERTIES
-
UP
TO
CONSCIOUSNESS
.
214
15.2
BIOINFORMATICS
HELPS
TO
BETTER DESCRIBE
THE
BRAIN
.
217
15.3
BRAIN
BLUEPRINTS
.
219
15.4
POSSIBLE
OBJECTIVES
.
220
15.5
EXERCISES
FOR
CHAP.
15
.
222
LITERATURE
.
223
16
BIOINFORMATICS
CONNECTS
LIFE
WITH
THE
UNIVERSE
AND
ALL
THE
REST
225
16.1
SOLVING
PROBLEMS
USING
BIOINFORMATICS
.
226
16.2
MODEL
AND
MITIGATE
GLOBAL
PROBLEMS
.
229
16.3
GLOBAL
DIGITALISATION
AND
PERSONAL
SPACE
.
233
16.4
WHAT
ARE
THE
TASKS
FOR
MODERN
BIOINFORMATICS
IN
THE
INTERNET
AGE?
.
237
16.5
EXERCISES
FOR
CHAP.
16
.
239
LITERATURE
.
240
17
CONCLUSION
AND
SUMMARY
243
PART
IV
GLOSSARY,
TUTORIAL,
SOLUTIONS
AND
WEB
LINKS
247
18
GLOSSARY
249
19
TUTORIAL:
AN
OVERVIEW
OF
IMPORTANT
DATABASES
AND
PROGRAMS
267
19.1
GENOMIC
DATA:
FROM
SEQUENCE
TO
STRUCTURE
AND
FUNCTION
.
267
19.2
RNA:
SEQUENCE,
STRUCTURE
ANALYSIS
AND
CONTROL
OF
GENE
EXPRESSION
.
278
19.3
PROTEINS:
INFORMATION,
STRUCTURE,
DOMAINS,
LOCALIZATION,
SECRETION
AND
TRANSPORT
.
282
19.4
CELLULAR
COMMUNICATION,
SIGNALLING
CASCADES,
METABOLISM,
SHANNON
ENTROPY
.
289
19.5
LIFE
ALWAYS
INVENTS
NEW
LEVELS
OF
LANGUAGE
.
295
19.6
INTRODUCTION
TO
PROGRAMMING
(META
TUTORIAL)
.
20
SOLUTIONS
TO
THE
EXERCISES
307
20.1
SEQUENCE
ANALYSIS:
DECIPHERING
THE
LANGUAGE
OF
LIFE
.
307
20.2
MAGIC
RNA
.
309
20.3
GENOMES
-
MOLECULAR
MAPS
OF
LIVING
ORGANISMS
.
314
20.4
MODELING
METABOLISM
AND
FINDING
NEW
ANTIBIOTICS
.
318
20.5
SYSTEMS
BIOLOGY
HELPS
TO
DISCOVER
THE
CAUSES
OF
DISEASE
.
319
20.6
EXTREMELY
FAST
SEQUENCE
COMPARISONS
IDENTIFY
ALL
THE
MOLECULES
THAT
ARE
PRESENT
IN
THE
CELL
.
322
20.7
HOW
TO
BETTER
UNDERSTAND
SIGNAL
CASCADES
AND MEASURE
THE
ENCODED
INFORMATION
.
325
20.8
WHEN
DOES
THE
COMPUTER
STOP
CALCULATING?
.
330
CONTENTS
IX
20.9
COMPLEX
SYSTEMS
BEHAVE
FUNDAMENTALLY
IN
A
SIMILAR
WAY
.
331
20.10 UNDERSTAND
EVOLUTION
BETTER
APPLYING
THE
COMPUTER
.
333
20.11
DESIGN
PRINCIPLES
OF
A
CELL
.
336
20.12
LIFE
CONTINUOUSLY
ACQUIRES
NEW
INFORMATION
IN
DIALOGUE
WITH
THE
ENVIRONMENT
.
341
20.13
LIFE
ALWAYS
INVENTS
NEW
LEVELS
OF
LANGUAGE
.
342
20.14
WE
CAN
THINK
ABOUT
OURSELVES
-
THE
COMPUTER
CANNOT
.
347
20.15
HOW
IS
OUR
OWN
EXTREMELY
POWERFUL
BRAIN
CONSTRUCTED?
.
349
20.16
BIOINFORMATICS
CONNECTS
LIFE
WITH
THE
UNIVERSE
AND
ALL
THE
REST
.
350
LITERATURE
.
351
OVERVIEW
OF
IMPORTANT
DATABASES
AND
PROGRAMS
AND
THEIR
GENERAL
USE
353 |
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| genre | (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Lehrbuch |
| id | DE-604.BV048317124 |
| illustrated | Illustrated |
| index_date | 2024-07-03T20:11:01Z |
| indexdate | 2024-07-10T09:35:06Z |
| institution | BVB |
| isbn | 9783662650356 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033696571 |
| oclc_num | 1376407661 |
| open_access_boolean | |
| owner | DE-29T DE-11 |
| owner_facet | DE-29T DE-11 |
| physical | IX, 357 Seiten Illustrationen |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| record_format | marc |
| spelling | Dandekar, Thomas 1960- Verfasser (DE-588)120961059 aut Bioinformatik Bioinformatics an introductory textbook Thomas Dandekar, Meik Kunz Berlin Springer [2023] IX, 357 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Bioinformatik (DE-588)4611085-9 gnd rswk-swf Bioinformatics Biomedicine Computer Information Life Systems Biology (DE-588)4123623-3 Lehrbuch gnd-content Bioinformatik (DE-588)4611085-9 s DE-604 Kunz, Meik Verfasser (DE-588)1154721302 aut Erscheint auch als Online-Ausgabe 978-3-662-65036-3 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033696571&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20220129 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Dandekar, Thomas 1960- Kunz, Meik Bioinformatics an introductory textbook Bioinformatik (DE-588)4611085-9 gnd |
| subject_GND | (DE-588)4611085-9 (DE-588)4123623-3 |
| title | Bioinformatics an introductory textbook |
| title_alt | Bioinformatik |
| title_auth | Bioinformatics an introductory textbook |
| title_exact_search | Bioinformatics an introductory textbook |
| title_exact_search_txtP | Bioinformatics an introductory textbook |
| title_full | Bioinformatics an introductory textbook Thomas Dandekar, Meik Kunz |
| title_fullStr | Bioinformatics an introductory textbook Thomas Dandekar, Meik Kunz |
| title_full_unstemmed | Bioinformatics an introductory textbook Thomas Dandekar, Meik Kunz |
| title_short | Bioinformatics |
| title_sort | bioinformatics an introductory textbook |
| title_sub | an introductory textbook |
| topic | Bioinformatik (DE-588)4611085-9 gnd |
| topic_facet | Bioinformatik Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033696571&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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