R programming for bioinformatics:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, Fla. [u.a.]
CRC Press
2009
|
| Series: | Computer science and data analysis series
A Chapman & Hall Book |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Item Description: | Auch angekündigt als: Bioinformatics with R |
| Physical Description: | XII, 314 S. graph. Darst. |
| ISBN: | 9781420063677 |
Staff View
MARC
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| 100 | 1 | |a Gentleman, Robert |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a R programming for bioinformatics |c Robert Gentleman |
| 246 | 1 | 3 | |a R-programming for bioinformatics |
| 246 | 1 | 3 | |a Bioinformatics with R |
| 264 | 1 | |a Boca Raton, Fla. [u.a.] |b CRC Press |c 2009 | |
| 300 | |a XII, 314 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Computer science and data analysis series | |
| 490 | 0 | |a A Chapman & Hall Book | |
| 500 | |a Auch angekündigt als: Bioinformatics with R | ||
| 650 | 4 | |a Bioinformatics | |
| 650 | 4 | |a R (Computer program language) | |
| 650 | 4 | |a Bioinformatics | |
| 650 | 4 | |a R (Computer program language) | |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Bioinformatik |0 (DE-588)4611085-9 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Bioinformatik |0 (DE-588)4611085-9 |D s |
| 689 | 0 | 1 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
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| 856 | 4 | 2 | |m Digitalisierung UB Regensburg |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016605296&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |3 Klappentext |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-016605296 | ||
Record in the Search Index
| _version_ | 1804137816526946304 |
|---|---|
| adam_text | Contents
Introducing R
1
1.1
Introduction
............................ 1
1.2
Motivation
............................ 2
1.3
A note on the text
........................ 3
1.4
Acknowledgments
......................... 4
R
Language Fundamentals
5
2.1
Introduction
............................ 5
2.1.1
A brief introduction to
R
................ 5
2.1.2
Attributes
.........................
б
2.1.3
A very brief introduction to OOP in
R
......... 7
2.1.4
Some special values
................... 8
2.1.5
Types of objects
..................... 9
2.1.6
Sequence generating and vector subsetting
....... 11
2.1.7
Types of functions
.................... 12
2.2
Data structures
.......................... 12
2.2.1
Atomic vectors
...................... 12
2.2.2
Numerical computing
.................. 15
2.2.3
Factors
.......................... 16
2.2.4
Lists, environments and data frames
.......... 18
2.3
Managing your
R
session
..................... 22
2.3.1
Finding out more about an object
........... 24
2.4
Language basics
.......................... 25
2.4.1
Operators
......................... 26
2.5
Subscripting and subsetting
................... 28
2.5.1
Vector and matrix subsetting
.............. 29
2.6
Vectorized computations
..................... 36
2.6.1
The recycling rule
.................... 37
2.7
Replacement functions
...................... 38
2.8
Functional programming
..................... 39
2.9
Writing functions
......................... 41
2.10
Flow control
............................ 42
2.10.1
Conditionals
....................... 44
2.11
Exception handling
........................ 45
2.12
Evaluation
............................. 50
2.12.1
Standard evaluation
................... 51
2.12.2
Non-standard evaluation
................. 52
Vlil
2.12.3
Function evaluation
................... 53
2.12.4
Indirect function invocation
............... 54
2.12.5
Evaluation on exit
.................... 54
2.12.6
Other topics
....................... 55
2.12.7
Name spaces
....................... 57
2.13
Lexical scope
........................... 59
2.13.1
Likelihoods
........................ 61
2.13.2
Function optimization
.................. 62
2.14
Graphics
.............................. 64
Object-Oriented Programming in
R
67
3.1
Introduction
............................ 67
3.2
The basics of OOP
........................ 68
3.2.1
Inheritance
........................ 69
3.2.2
Dispatch
.......................... 71
3.2.3
Abstract data types
................... 72
3.2.4
Self-describing data
................... 73
3.3 S3
OOP
.............................. 74
3.3.1
Implicit classes
...................... 76
3.3.2
Expression data example
................ 77
3.3.3 S3
generic functions and methods
............ 78
3.3.4
Details of dispatch
.................... 81
3.3.5
Group generics
...................... 83
3.3.6 S3
replacement methods
................. 83
3.4
S4 OOP
.............................. 84
3.4.1
Classes
.......................... 85
3.4.2
Types of classes
...................... 98
3.4.3
Attributes
......................... 98
3.4.4
Class unions
....................... 99
3.4.5
Accessor functions
.................... 100
3.4.6
Using
S3
classes with S4 classes
............. 100
3.4.7
S4 generic functions and methods
............ 101
3.4.8
The syntax of method declaration
........... 105
3.4.9
The semantics of method invocation
.......... 106
3.4.10
Replacement methods
.................. 107
3.4.11
Finding methods
..................... 107
3.4.12
Advanced topics
..................... 108
3.5
Using classes and methods in packages
............. 110
3.6
Documentation
.......................... 110
3.6.1
Finding documentation
................. 110
3.6.2
Writing documentation
.................
Ill
3.7
Debugging
.............................
Ш
3.8
Managing
S3
and S4 together
.................. 112
3.8.1
Getting and setting the class attribute
........ 113
3.8.2
Mixing
S3
and S4 methods
............... 114
їх
3.9
Navigating the class and method hierarchy
.......... 115
Input and Output in
R
119
4.1
Introduction
............................ 119
4.2
Basic file handling
........................ 120
4.2.1
Viewing files
....................... 124
4.2.2
File manipulation
..................... 125
4.2.3
Working with R s binary format
............ 129
4.3
Connections
............................ 130
4.3.1
Text connections
..................... 131
4.3.2
Interprocess communications
.............. 133
4.3.3
Seek
............................ 136
4.4
File input and output
...................... 137
4.4.1
Reading rectangular data
................ 138
4.4.2
Writing data
....................... 139
4.4.3
Debian Control Format (DCF)
............. 140
4.4.4
FASTA
Format
...................... 141
4.5
Source and sink: capturing
R
output
.............. 142
4.6
Tools for accessing files on the Internet
............. 143
Working with Character Data
145
5.1
Introduction
............................ 145
5.2
Builtin capabilities
........................ 146
5.2.1
Modifying text
...................... 151
5.2.2
Sorting and comparing
.................. 152
5.2.3
Matching a set of alternatives
.............. 153
5.2.4
Formatting text and numbers
.............. 155
5.2.5
Special characters and escaping
............. 155
5.2.6
Parsing and deparsing
.................. 158
5.2.7
Plotting with text
.................... 159
5.2.8
Locale and font encoding
................ 159
5.3
Regular expressions
........................ 159
5.3.1
Regular expression basics
................ 160
5.3.2
Matching
......................... 166
5.3.3
Using regular expressions
................ 167
5.3.4
Globbing and regular expressions
............ 169
5.4
Prefixes, suffixes and substrings
................. 169
5.5
Biological sequences
....................... 171
5.5.1
Encoding genomes
.................... 172
5.6
Matching patterns
........................ 173
5.6.1
Matching single query sequences
............ 174
5.6.2
Matching many query sequences
............ 175
5.6.3
Palindromes and paired matches
............ 177
5.6.4
Alignments
........................ 179
Foreign Language Interfaces
183
6.1
Introduction
............................ 183
6.1.1
Overview
......................... 184
6.1.2
The
С
programming language
.............. 185
6.2
Calling
С
and FORTRAN from
R
............... 185
6.2.1
.G
and .Fortran
..................... 186
6.2.2
Using .Call and .External
............... 187
6.3
Writing
С
code to interface with
R
............... 188
6.3.1
Registering routines
................... 188
6.3.2
Dealing with special values
............... 189
6.3.3
Single precision
...................... 191
6.3.4
Matrices and arrays
................... 191
6.3.5
Allowing interrupts
.................... 193
6.3.6
Error handling
...................... 193
6.3.7
R
internals
........................ 193
6.3.8
S4 OOP in
С
....................... 197
6.3.9
Calling
R
from
С
..................... 198
6.4
Using the
R
API
......................... 198
6.4.1
Header files
........................ 198
6.4.2
Sorting
.......................... 199
6.4.3
Random numbers
..................... 199
6.5
Loading libraries
......................... 202
6.5.1
Inspecting DLLs
..................... 203
6.6
Advanced topics
......................... 204
6.6.1
External references and finalizers
........... 204
6.6.2
Evaluating
R
expressions from
С
............ 206
6.7
Other languages
......................... 209
R
Packages
211
7.1
Package basics
.......................... 212
7.1.1
The search path
..................... 212
7.1.2
Package information
................... 213
7.1.3
Data and demos
..................... 215
7.1.4
Vignettes
......................... 215
7.2
Package management
....................... 216
7.2.1
biocViews
........................ 218
7.2.2
Managing libraries
.................... 219
7.3
Package authoring
........................ 219
7.3.1
The DESCRIPTION file
.................. 220
7.3.2
R
code
........................... 220
7.3.3
Documentation
...................... 221
7.3.4
Name spaces
....................... 224
7.3.5
Finding out about name spaces
............. 226
7.4
Initialization
........................... 226
7.4.1
Event hooks
........................ 227
Xl
Data Technologies
229
8.1
Introduction
............................ 229
8.1.1
A brief description of GO
................ 229
8.2
Using
R
for data manipulation
................. 230
8.2.1
Aggregation and creating tables
............. 230
8.2.2
Apply functions
...................... 232
8.2.3
Efficient apply-like functions
.............. 234
8.2.4
Combining and reshaping rectangular data
...... 234
8.3
Example
.............................. 236
8.4
Database technologies
...................... 238
8.4.1
DBI
............................ 239
8.4.2
SQLite
........................... 241
8.4.3
Using AnnotationDbi
................. 243
8.5
XML
................................ 254
8.5.1
Simple XPath
....................... 256
8.5.2
The XML package
.................... 257
8.5.3
Handlers
.......................... 257
8.5.4
Example data
....................... 258
8.5.5
DOM parsing
....................... 258
8.5.6
XML event parsing
.................... 261
8.5.7
Parsing HTML
...................... 263
8.6
Bioinformatic resources on the WWW
............. 264
8.6.1
PubMed
.......................... 265
8.6.2
NCBI
........................... 265
8.6.3
biomaRt
.......................... 266
8.6.4
Getting data from
GEO
................. 270
8.6.5
KEGG
........................... 272
Debugging and Profiling
273
9.1
Introduction
............................ 273
9.2
The browser function
....................... 274
9.2.1
A sample browser session
................ 275
9.3
Debugging in
R
.......................... 276
9.3.1
Runtime debugging
.................... 277
9.3.2
Warnings and other exceptions
............. 278
9.3.3
Interactive debugging
.................. 279
9.3.4
The debug and imdebug functions
............ 281
9.3.5
The trace function
.................... 285
9.4
Debugging
С
and other foreign code
.............. 289
9.5
Profiling
R
code
......................... 290
9.5.1
Timings
.......................... 292
9.6
Managing memory
........................ 293
9.6.1
Memory profiling
..................... 294
9.6.2
Profiling memory allocation
............... 295
9.6.3
Tracking a single object
................. 298
XU
References
301
Index 305
From the co-developer of
R
and lead founder of the Bioconductor project
Due to its data handling and modeling capabilities as well as its flexibility,
R
is
becoming the most widely used software in bioinformatics.
R
Programming for
Bioinformatics explores the programming skills needed to use this software
tool for the solution of bioinformatics and computational biology problems.
Drawing on the author s first-hand experiences as an expert in R, the book
begins with coverage of the general properties of the
R
language, several unique
programming aspects of R, and object-oriented programming in R. It presents
methods for data input and output as well as database interactions. The author
also examines different facets of string handling and manipulations, discusses
the interfacing of
R
with other languages, and describes how to write software
packages. He concludes with a discussion on the debugging and profiling of
R
code.
With numerous examples and exercises, this practical guide focuses on
developing
R
programming skills in order to tackle problems encountered in
bioinformatics and computational biology.
Features
•
Covers the fundamentals of the
R
language and object-oriented
programming in
R
•
Discusses XML,
SOAR
and other data mark-up and web services
languages and tools
•
Deals with many of the standard sequence similarity tools that play a
prominent role in computational biology
•
Explores the interaction of
R
with other languages, such as C, FORTRAN,
Perl, and Python
•
Explains how to write your own software packages as well as debug and
profile
R
code
•
Contains complete source code on the book s website
|
| adam_txt |
Contents
Introducing R
1
1.1
Introduction
. 1
1.2
Motivation
. 2
1.3
A note on the text
. 3
1.4
Acknowledgments
. 4
R
Language Fundamentals
5
2.1
Introduction
. 5
2.1.1
A brief introduction to
R
. 5
2.1.2
Attributes
.
б
2.1.3
A very brief introduction to OOP in
R
. 7
2.1.4
Some special values
. 8
2.1.5
Types of objects
. 9
2.1.6
Sequence generating and vector subsetting
. 11
2.1.7
Types of functions
. 12
2.2
Data structures
. 12
2.2.1
Atomic vectors
. 12
2.2.2
Numerical computing
. 15
2.2.3
Factors
. 16
2.2.4
Lists, environments and data frames
. 18
2.3
Managing your
R
session
. 22
2.3.1
Finding out more about an object
. 24
2.4
Language basics
. 25
2.4.1
Operators
. 26
2.5
Subscripting and subsetting
. 28
2.5.1
Vector and matrix subsetting
. 29
2.6
Vectorized computations
. 36
2.6.1
The recycling rule
. 37
2.7
Replacement functions
. 38
2.8
Functional programming
. 39
2.9
Writing functions
. 41
2.10
Flow control
. 42
2.10.1
Conditionals
. 44
2.11
Exception handling
. 45
2.12
Evaluation
. 50
2.12.1
Standard evaluation
. 51
2.12.2
Non-standard evaluation
. 52
Vlil
2.12.3
Function evaluation
. 53
2.12.4
Indirect function invocation
. 54
2.12.5
Evaluation on exit
. 54
2.12.6
Other topics
. 55
2.12.7
Name spaces
. 57
2.13
Lexical scope
. 59
2.13.1
Likelihoods
. 61
2.13.2
Function optimization
. 62
2.14
Graphics
. 64
Object-Oriented Programming in
R
67
3.1
Introduction
. 67
3.2
The basics of OOP
. 68
3.2.1
Inheritance
. 69
3.2.2
Dispatch
. 71
3.2.3
Abstract data types
. 72
3.2.4
Self-describing data
. 73
3.3 S3
OOP
. 74
3.3.1
Implicit classes
. 76
3.3.2
Expression data example
. 77
3.3.3 S3
generic functions and methods
. 78
3.3.4
Details of dispatch
. 81
3.3.5
Group generics
. 83
3.3.6 S3
replacement methods
. 83
3.4
S4 OOP
. 84
3.4.1
Classes
. 85
3.4.2
Types of classes
. 98
3.4.3
Attributes
. 98
3.4.4
Class unions
. 99
3.4.5
Accessor functions
. 100
3.4.6
Using
S3
classes with S4 classes
. 100
3.4.7
S4 generic functions and methods
. 101
3.4.8
The syntax of method declaration
. 105
3.4.9
The semantics of method invocation
. 106
3.4.10
Replacement methods
. 107
3.4.11
Finding methods
. 107
3.4.12
Advanced topics
. 108
3.5
Using classes and methods in packages
. 110
3.6
Documentation
. 110
3.6.1
Finding documentation
. 110
3.6.2
Writing documentation
.
Ill
3.7
Debugging
.
Ш
3.8
Managing
S3
and S4 together
. 112
3.8.1
Getting and setting the class attribute
. 113
3.8.2
Mixing
S3
and S4 methods
. 114
їх
3.9
Navigating the class and method hierarchy
. 115
Input and Output in
R
119
4.1
Introduction
. 119
4.2
Basic file handling
. 120
4.2.1
Viewing files
. 124
4.2.2
File manipulation
. 125
4.2.3
Working with R's binary format
. 129
4.3
Connections
. 130
4.3.1
Text connections
. 131
4.3.2
Interprocess communications
. 133
4.3.3
Seek
. 136
4.4
File input and output
. 137
4.4.1
Reading rectangular data
. 138
4.4.2
Writing data
. 139
4.4.3
Debian Control Format (DCF)
. 140
4.4.4
FASTA
Format
. 141
4.5
Source and sink: capturing
R
output
. 142
4.6
Tools for accessing files on the Internet
. 143
Working with Character Data
145
5.1
Introduction
. 145
5.2
Builtin capabilities
. 146
5.2.1
Modifying text
. 151
5.2.2
Sorting and comparing
. 152
5.2.3
Matching a set of alternatives
. 153
5.2.4
Formatting text and numbers
. 155
5.2.5
Special characters and escaping
. 155
5.2.6
Parsing and deparsing
. 158
5.2.7
Plotting with text
. 159
5.2.8
Locale and font encoding
. 159
5.3
Regular expressions
. 159
5.3.1
Regular expression basics
. 160
5.3.2
Matching
. 166
5.3.3
Using regular expressions
. 167
5.3.4
Globbing and regular expressions
. 169
5.4
Prefixes, suffixes and substrings
. 169
5.5
Biological sequences
. 171
5.5.1
Encoding genomes
. 172
5.6
Matching patterns
. 173
5.6.1
Matching single query sequences
. 174
5.6.2
Matching many query sequences
. 175
5.6.3
Palindromes and paired matches
. 177
5.6.4
Alignments
. 179
Foreign Language Interfaces
183
6.1
Introduction
. 183
6.1.1
Overview
. 184
6.1.2
The
С
programming language
. 185
6.2
Calling
С
and FORTRAN from
R
. 185
6.2.1
.G
and .Fortran
. 186
6.2.2
Using .Call and .External
. 187
6.3
Writing
С
code to interface with
R
. 188
6.3.1
Registering routines
. 188
6.3.2
Dealing with special values
. 189
6.3.3
Single precision
. 191
6.3.4
Matrices and arrays
. 191
6.3.5
Allowing interrupts
. 193
6.3.6
Error handling
. 193
6.3.7
R
internals
. 193
6.3.8
S4 OOP in
С
. 197
6.3.9
Calling
R
from
С
. 198
6.4
Using the
R
API
. 198
6.4.1
Header files
. 198
6.4.2
Sorting
. 199
6.4.3
Random numbers
. 199
6.5
Loading libraries
. 202
6.5.1
Inspecting DLLs
. 203
6.6
Advanced topics
. 204
6.6.1
External references and finalizers
. 204
6.6.2
Evaluating
R
expressions from
С
. 206
6.7
Other languages
. 209
R
Packages
211
7.1
Package basics
. 212
7.1.1
The search path
. 212
7.1.2
Package information
. 213
7.1.3
Data and demos
. 215
7.1.4
Vignettes
. 215
7.2
Package management
. 216
7.2.1
biocViews
. 218
7.2.2
Managing libraries
. 219
7.3
Package authoring
. 219
7.3.1
The DESCRIPTION file
. 220
7.3.2
R
code
. 220
7.3.3
Documentation
. 221
7.3.4
Name spaces
. 224
7.3.5
Finding out about name spaces
. 226
7.4
Initialization
. 226
7.4.1
Event hooks
. 227
Xl
Data Technologies
229
8.1
Introduction
. 229
8.1.1
A brief description of GO
. 229
8.2
Using
R
for data manipulation
. 230
8.2.1
Aggregation and creating tables
. 230
8.2.2
Apply functions
. 232
8.2.3
Efficient apply-like functions
. 234
8.2.4
Combining and reshaping rectangular data
. 234
8.3
Example
. 236
8.4
Database technologies
. 238
8.4.1
DBI
. 239
8.4.2
SQLite
. 241
8.4.3
Using AnnotationDbi
. 243
8.5
XML
. 254
8.5.1
Simple XPath
. 256
8.5.2
The XML package
. 257
8.5.3
Handlers
. 257
8.5.4
Example data
. 258
8.5.5
DOM parsing
. 258
8.5.6
XML event parsing
. 261
8.5.7
Parsing HTML
. 263
8.6
Bioinformatic resources on the WWW
. 264
8.6.1
PubMed
. 265
8.6.2
NCBI
. 265
8.6.3
biomaRt
. 266
8.6.4
Getting data from
GEO
. 270
8.6.5
KEGG
. 272
Debugging and Profiling
273
9.1
Introduction
. 273
9.2
The browser function
. 274
9.2.1
A sample browser session
. 275
9.3
Debugging in
R
. 276
9.3.1
Runtime debugging
. 277
9.3.2
Warnings and other exceptions
. 278
9.3.3
Interactive debugging
. 279
9.3.4
The debug and imdebug functions
. 281
9.3.5
The trace function
. 285
9.4
Debugging
С
and other foreign code
. 289
9.5
Profiling
R
code
. 290
9.5.1
Timings
. 292
9.6
Managing memory
. 293
9.6.1
Memory profiling
. 294
9.6.2
Profiling memory allocation
. 295
9.6.3
Tracking a single object
. 298
XU
References
301
Index 305
From the co-developer of
R
and lead founder of the Bioconductor project
Due to its data handling and modeling capabilities as well as its flexibility,
R
is
becoming the most widely used software in bioinformatics.
R
Programming for
Bioinformatics explores the programming skills needed to use this software
tool for the solution of bioinformatics and computational biology problems.
Drawing on the author's first-hand experiences as an expert in R, the book
begins with coverage of the general properties of the
R
language, several unique
programming aspects of R, and object-oriented programming in R. It presents
methods for data input and output as well as database interactions. The author
also examines different facets of string handling and manipulations, discusses
the interfacing of
R
with other languages, and describes how to write software
packages. He concludes with a discussion on the debugging and profiling of
R
code.
With numerous examples and exercises, this practical guide focuses on
developing
R
programming skills in order to tackle problems encountered in
bioinformatics and computational biology.
Features
•
Covers the fundamentals of the
R
language and object-oriented
programming in
R
•
Discusses XML,
SOAR
and other data mark-up and web services
languages and tools
•
Deals with many of the standard sequence similarity tools that play a
prominent role in computational biology
•
Explores the interaction of
R
with other languages, such as C, FORTRAN,
Perl, and Python
•
Explains how to write your own software packages as well as debug and
profile
R
code
•
Contains complete source code on the book's website |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Gentleman, Robert |
| author_facet | Gentleman, Robert |
| author_role | aut |
| author_sort | Gentleman, Robert |
| author_variant | r g rg |
| building | Verbundindex |
| bvnumber | BV023422894 |
| classification_rvk | SK 850 ST 250 WC 7700 |
| classification_tum | BIO 110f DAT 368f |
| ctrlnum | (OCoLC)166358409 (DE-599)BVBBV023422894 |
| dewey-full | 570.2855133 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570.2855133 |
| dewey-search | 570.2855133 |
| dewey-sort | 3570.2855133 |
| dewey-tens | 570 - Biology |
| discipline | Biologie Informatik Mathematik |
| discipline_str_mv | Biologie Informatik Mathematik |
| format | Book |
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| id | DE-604.BV023422894 |
| illustrated | Illustrated |
| index_date | 2024-07-02T21:31:36Z |
| indexdate | 2024-07-09T21:18:18Z |
| institution | BVB |
| isbn | 9781420063677 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016605296 |
| oclc_num | 166358409 |
| open_access_boolean | |
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| physical | XII, 314 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | CRC Press |
| record_format | marc |
| series2 | Computer science and data analysis series A Chapman & Hall Book |
| spelling | Gentleman, Robert Verfasser aut R programming for bioinformatics Robert Gentleman R-programming for bioinformatics Bioinformatics with R Boca Raton, Fla. [u.a.] CRC Press 2009 XII, 314 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Computer science and data analysis series A Chapman & Hall Book Auch angekündigt als: Bioinformatics with R Bioinformatics R (Computer program language) R Programm (DE-588)4705956-4 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf Bioinformatik (DE-588)4611085-9 s R Programm (DE-588)4705956-4 s DE-604 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016605296&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016605296&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Gentleman, Robert R programming for bioinformatics Bioinformatics R (Computer program language) R Programm (DE-588)4705956-4 gnd Bioinformatik (DE-588)4611085-9 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4611085-9 |
| title | R programming for bioinformatics |
| title_alt | R-programming for bioinformatics Bioinformatics with R |
| title_auth | R programming for bioinformatics |
| title_exact_search | R programming for bioinformatics |
| title_exact_search_txtP | R programming for bioinformatics |
| title_full | R programming for bioinformatics Robert Gentleman |
| title_fullStr | R programming for bioinformatics Robert Gentleman |
| title_full_unstemmed | R programming for bioinformatics Robert Gentleman |
| title_short | R programming for bioinformatics |
| title_sort | r programming for bioinformatics |
| topic | Bioinformatics R (Computer program language) R Programm (DE-588)4705956-4 gnd Bioinformatik (DE-588)4611085-9 gnd |
| topic_facet | Bioinformatics R (Computer program language) R Programm Bioinformatik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016605296&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=016605296&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT gentlemanrobert rprogrammingforbioinformatics AT gentlemanrobert bioinformaticswithr |