Python for bioinformatics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
[2018]
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Chapman & Hall/CRC mathematical and computational biology series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xxix, 430 Seiten Illustrationen, Diagramme |
| ISBN: | 9781138035263 1138035262 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV044447247 | ||
| 003 | DE-604 | ||
| 005 | 20210323 | ||
| 007 | t | ||
| 008 | 170811s2018 xxua||| |||| 00||| eng d | ||
| 010 | |a 017014460 | ||
| 020 | |a 9781138035263 |9 978-1-138-03526-3 | ||
| 020 | |a 1138035262 |9 1-138-03526-2 | ||
| 035 | |a (OCoLC)1004312379 | ||
| 035 | |a (DE-599)BVBBV044447247 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c US | ||
| 049 | |a DE-355 |a DE-11 |a DE-703 | ||
| 050 | 0 | |a QH324.2 | |
| 082 | 0 | |a 570.285 |2 23 | |
| 084 | |a WC 7700 |0 (DE-625)148144: |2 rvk | ||
| 100 | 1 | |a Bassi, Sebastian |e Verfasser |0 (DE-588)1143747739 |4 aut | |
| 245 | 1 | 0 | |a Python for bioinformatics |c Sebastian Bassi |
| 250 | |a Second edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c [2018] | |
| 300 | |a xxix, 430 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Chapman & Hall/CRC mathematical and computational biology series | |
| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Bioinformatics | |
| 650 | 4 | |a Python (Computer program language) | |
| 650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |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 Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-315-26874-3 |
| 856 | 4 | 2 | |m Digitalisierung UB Regensburg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029848263&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 856 | 4 | 2 | |m Digitalisierung UB Regensburg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029848263&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |3 Klappentext |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029848263 | ||
Datensatz im Suchindex
| _version_ | 1804177760987381761 |
|---|---|
| adam_text | Contents
List of Figures xvii
List of Tables xxi
Preface to the First Edition xxiii
Preface to the Second Edition xxv
Acknowledgments xxix
Section I Programming
Chapter 1 ■ Introduction 3
1.1 WHO SHOULD READ THIS BOOK 3
1.1.1 What the Reader Should Already Know 4
1.2 USING THIS BOOK 4
1.2.1 Typographical Conventions 4
1.2.2 Python Versions 5
1.2.3 Code Style 5
1.2.4 Get the Most from This Book without Reading It All 6
1.2.5 Online Resources Related to This Book 7
1.3 WHY LEARN TO PROGRAM? 7
1.4 BASIC PROGRAMMING CONCEPTS 8
1.4.1 What Is a Program? 8
1.5 WHY PYTHON? 10
1.5.1 Main Features of Python 10
1.5.2 Comparing Python with Other Languages 11
1.5.3 How Is It Used? 14
1.5.4 Who Uses Python? 15
1.5.5 Flavors of Python 15
1.5.6 Special Python Distributions 16
1.6 ADDITIONAL RESOURCES 17
vii
viii ■ Contents
Chapter 2 ■ First Steps with Python 19
2.1 INSTALLING PYTHON 20
2.1.1 Learn Python by Using It 20
2.1.2 Install Python Locally 20
2.1.3 Using Python Online 21
2.1.4 Testing Python 22
2.1.5 First Use 22
2.2 INTERACTIVE MODE 23
2.2.1 Baby Steps 23
2.2.2 Basic Input and Output 23
2.2.3 More on the Interactive Mode 24
2.2.4 Mathematical Operations 26
2.2.5 Exit from the Python Shell 27
2.3 BATCH MODE 27
2.3.1 Comments 29
2.3.2 Indentation 30
2.4 CHOOSING AN EDITOR 32
2.4.1 Sublime Text 32
2.4.2 Atom 33
2.4.3 PyCharm 34
2.4.4 Spyder IDE 35
2.4.5 Final Words about Editors 36
2.5 OTHER TOOLS 36
2.6 ADDITIONAL RESOURCES 37
2.7 SELF-EVALUATION 37
Chapter 3■ Basic Programming: Data Types 39
3.1 STRINGS 40
3.1.1 Strings Are Sequences of Unicode Characters 41
3.1.2 String Manipulation 42
3.1.3 Methods Associated with Strings 42
3.2 LISTS 44
3.2.1 Accessing List Elements 45
3.2.2 List with Multiple Repeated Items 45
3.2.3 List Comprehension 46
3.2.4 Modifying Lists 47
Contents ■ ix
3.2.5 Copying a List 49
3.3 TUPLES 49
3.3.1 Tuples Are Immutable Lists 49
3.4 COMMON PROPERTIES OF THE SEQUENCES 51
3.5 DICTIONARIES 54
3.5.1 Mapping: Calling Each Value by a Name 54
3.5.2 Operating with Dictionaries 56
3.6 SETS 59
3.6.1 Unordered Collection of Objects 59
3.6.2 Set Operations 60
3.6.3 Shared Operations with Other Data Types 62
3.6.4 Immutable Set: Frozenset 63
3.7 NAMING OBJECTS 63
3.8 ASSIGNING A VALUE TO A VARIABLE VERSUS BINDING A NAME
TO AN OBJECT 64
3.9 ADDITIONAL RESOURCES 67
3.10 SELF-EVALUATION 68
Chapter 4 ■ Programming: Flow Control 69
4.1 IF-ELSE 69
4.1.1 Pass Statement 74
4.2 FOR LOOP 75
4.3 WHILE LOOP 77
4.4 BREAK: BREAKING THE LOOP 78
4.5 WRAPPING IT UP 80
4.5.1 Estimate the Net Charge of a Protein 80
4.5.2 Search for a Low-Degeneration Zone 81
4.6 ADDITIONAL RESOURCES 83
4.7 SELF-EVALUATION 83
Chapter 5 ■ Handling Files 85
5.1 READING FILES 86
5.1.1 Example of File Handling 87
5.2 WRITING FILES 89
5.2.1 File Reading and Writing Examples 90
5.3 CSV FILES 90
X ■ Contents
5.4 PICKLE: STORING AND RETRIEVING THE CONTENTS OF VARI-
ABLES 94
5.5 JSON FILES 96
5.6 FILE HANDLING: OS, OS.PATH, SHUTIL, AND PATH.PY MODULE 98
5.6.1 path.py Module 100
5.6.2 Consolidate Multiple DNA Sequences into One FASTA File 102
5.7 ADDITIONAL RESOURCES 102
5.8 SELF-EVALUATION 103
Chapter 6 ■ Code Modularizing 105
6.1 INTRODUCTION TO CODE MODULARIZING 105
6.2 FUNCTIONS 106
6.2.1 Standard Way to Make Python Code Modular 106
6.2.2 Function Parameter Options 110
6.2.3 Generators 113
6.3 MODULES AND PACKAGES 114
6.3.1 Using Modules 115
6.3.2 Packages 116
6.3.3 Installing Third-Party Modules 117
6.3.4 Virtualenv: Isolated Python Environments 119
6.3.5 Conda: Anaconda Virtual Environment 121
6.3.6 Creating Modules 124
6.3.7 Testing Modules 125
6.4 ADDITIONAL RESOURCES 127
6.5 SELF-EVALUATION 128
Chapter 7■ Error Handling 129
7.1 INTRODUCTION TO ERROR HANDLING 129
7.1.1 Try and Except 131
7.1.2 Exception Types 134
7.1.3 Triggering Exceptions 135
7.2 CREATING CUSTOMIZED EXCEPTIONS 136
7.3 ADDITIONAL RESOURCES 137
7.4 SELF-EVALUATION 138
Chapter 8■ Introduction to Object Orienting Programming (OOP) 139
8.1 OBJECT PARADIGM AND PYTHON
139
Contents ■ xi
8.2 EXPLORING THE JARGON 140
8.3 CREATING CLASSES 142
8.4 INHERITANCE 145
8.5 SPECIAL METHODS 149
8.5.1 Create a New Data Type Using a Built-in Data Type 154
8.6 MAKING OUR CODE PRIVATE 154
8.7 ADDITIONAL RESOURCES 155
8.8 SELF-EVALUATION 156
Chapter 9· Introduction to Biopython 157
9.1 WHAT IS BIOPYTHON? 158
9.1.1 Project Organization 158
9.2 INSTALLING BIOPYTHON 159
9.3 BIOPYTHON COMPONENTS 162
9.3.1 Alphabet 162
9.3.2 Seq 163
9.3.3 MutableSeq 165
9.3.4 SeqRecord 166
9.3.5 Align 167
9.3.G AlignlO 169
9.3.7 ClustalW 171
9.3.8 SeqlO 173
9.3.9 AlignlO 176
9.3.10 BLAST 177
9.3.11 Biological Related Data 187
9.3.12 Entrez 190
9.3.13 PDB 194
9.3.14 PROSITE 196
9.3.15 Restriction 197
9.3.16 SeqUtils 200
9.3.17 Sequencing 202
9.3.18 SwissProt 205
9.4 CONCLUSION 207
9.5 ADDITIONAL RESOURCES 207
9.6 SELF-EVALUATION 209
xii B Contents
Section II Advanced Topics
Chapter 10 ■ Web Applications__________________________________ 213
10.1 INTRODUCTION TO PYTHON ON THE WEB 213
10.2 CGI IN PYTHON 214
10.2.1 Configuring a Web Server for CGI 215
10.2.2 Testing the Server with Our Script 215
10.2.3 Web Program to Calculate the Net Charge of a Protein
(CGI version) 219
10.3 WSGI 221
10.3.1 Bottle: A Python Web Framework for WSGI 222
10.3.2 Installing Bottle 223
10.3.3 Minimal Bottle Application 223
10.3.4 Bottle Components 224
10.3.5 Web Program to Calculate the Net Charge of a Protein
(Bottle Version) 229
10.3.6 Installing a WSGI Program in Apache 232
• 10.4 ALTERNATIVE OPTIONS FOR MAKING PYTHON-BASED DYNAMIC
WEB SITES 232
10.5 SOME WORDS ABOUT SCRIPT SECURITY 232
10.6 WHERE TO HOST PYTHON PROGRAMS 234
10.7 ADDITIONAL RESOURCES 235
10.8 SELF-EVALUATION 236
Chapter 11 ■ XML______________________________________________ 237
11.1 INTRODUCTION TO XML 237
11.2 STRUCTURE OF AN XML DOCUMENT 241
11.3 METHODS TO ACCESS DATA INSIDE AN XML DOCUMENT 246
11.3.1 SAX: cElementTree Iterparse 246
11.4 SUMMARY 251
11.5 ADDITIONAL RESOURCES 252
11.6 SELF-EVALUATION 252
Chapter 12 ■ Python and Databases_______________________________255
12.1 INTRODUCTION TO DATABASES 256
12.1.1 Database Management: RDBMS 257
12.1.2 Components of a Relational Database 258
Contents ■ xiii
12.1.3 Database Data Types 260
12.2 CONNECTING TO A DATABASE 261
12.3 CREATING A MYSQL DATABASE 262
12.3.1 Creating Tables 263
12.3.2 Loading a Table 264
12.4 PLANNING AHEAD 266
12.4.1 PythonU: Sample Database 266
12.5 SELECT: QUERYING A DATABASE 269
12.5.1 Building a Query 271
12.5.2 Updating a Database 273
12.5.3 Deleting a Record from a Database 273
12.6 ACCESSING A DATABASE FROM PYTHON 274
12.6.1 PyMySQL Module 274
12.6.2 Establishing the Connection 274
12.6.3 Executing the Query from Python 275
12.7 SQLITE 276
12.8 NOSQL DATABASES: MONGODB 278
12.8.1 Using MongoDB with PyMongo 278
12.9 ADDITIONAL RESOURCES 282
12.10 SELF-EVALUATION 284
Chapter 13 ■ Regular Expressions_______________________________285
13.1 INTRODUCTION TO REGULAR EXPRESSIONS (REGEX) 285
13.1.1 REGEX Syntax 286
13.2 THE RE MODULE 287
13.2.1 Compiling a Pattern 290
13.2.2 REGEX Examples 292
13.2.3 Pattern Replace 294
13.3 REGEX IN BIOINFORMATICS 294
13.3.1 Cleaning Up a Sequence 296
13.4 ADDITIONAL RESOURCES 297
13.5 SELF-EVALUATION 298
Chapter 14 ■ Graphics in Python________________________________299
14.1 INTRODUCTION TO BOKEH 299
14.2 INSTALLING BOKEH 299
14.3 USING BOKEH 301
xiv ■ Contents
14.3.1 A Simple X-Y Plot 303
14.3.2 Two Data Series Plot 304
14.3.3 A Scatter Plot 306
14.3.4 A Heatmap 308
14.3.5 A Chord Diagram 309
Section III Python Recipes with Commented Source Code
Chapter 15 ■ Sequence Manipulation in Batch_____________________ 315
15.1 PROBLEM DESCRIPTION 315
15.2 PROBLEM ONE: CREATE A FASTA FILE WITH RANDOM SE-
QUENCES 315
15.2.1 Commented Source Code 315
15.3 PROBLEM TWO: FILTER NOT EMPTY SEQUENCES FROM A
FASTA FILE 316
15.3.1 Commented Source Code 317
15.4 PROBLEM THREE: MODIFY EVERY RECORD OF A FASTA FILE 319
15.4.1 Commented Source Code 320
Chapter 16 ■ Web Application for Filtering Vector Contamination_ 321
16.1 PROBLEM DESCRIPTION 321
16.1.1 Commented Source Code 322
16.2 ADDITIONAL RESOURCES 326
Chapter 17 ■ Searching for PCR Primers Using Primer3____________ 329
17.1 PROBLEM DESCRIPTION 329
17.2 PRIMER DESIGN FLANKING A VARIABLE LENGTH REGION 330
17.2.1 Commented Source Code 331
17.3 PRIMER DESIGN FLANKING A VARIABLE LENGTH REGION,
WITH BIOPYTHON 332
17.4 ADDITIONAL RESOURCES 333
Chapter 18 « Calculating Melting Temperature from a Set of Primers 335
18.1 PROBLEM DESCRIPTION 335
18.1.1 Commented Source Code 336
18.2 ADDITIONAL RESOURCES 336
Chapter 19 «Filtering Out Specific Fields from a GenBank File 339
19.1 EXTRACTING SELECTED PROTEIN SEQUENCES
339
Contents ■ xv
19.1.1 Commented Source Code 339
19.2 EXTRACTING THE UPSTREAM REGION OF SELECTED PRO-
TEINS 340
19.2.1 Commented Source Code 340
19.3 ADDITIONAL RESOURCES 341
Chapter 20 ■ Inferring Splicing Sites 343
20.1 PROBLEM DESCRIPTION 343
20.1.1 Infer Splicing Sites with Commented Source Code 345
20.1.2 Sample Run of Estimate Iutron Program 347
Chapter 21 ■ Web Server for Multiple Alignment 349
21.1 PROBLEM DESCRIPTION 349
21.1.1 Web Interface: Front-End. HTML Code 349
21.1.2 Web Interface: Server-Side Script. Commented Source Code 351
21.2 ADDITIONAL RESOURCES 353
Chapter 22 ■ Drawing Marker Positions Using Data Stored in a Database 355
22.1 PROBLEM DESCRIPTION 355
22.1.1 Preliminary Work on the Data 355
22.1.2 MongoDB Version with Commented Source Code 358
Section IV Appendices
Appendix A ■ Collaborative Development: Version Control with GitHub 365
A.1 INTRODUCTION TO VERSION CONTROL 366
A.2 VERSION YOUR CODE 367
A.3 SHARE YOUR CODE 375
A.4 CONTRIBUTE TO OTHER PROJECTS 381
A.5 CONCLUSION 382
A.6 METHODS 384
A. 7 ADDITIONAL RESOURCES 384
Appendix В ■ Install a Bottle App in PythonAnywhere___________385
B. 1 PYTHONANYWHERE 385
B.1.1 What Is PythonAnywhere 385
B.1.2 Installing a Web App in PythonAnywhere 385
xvi ■ Contents
Appendix C ■ Scientific Python Cheat Sheet 393
C.1 PURE PYTHON 394
C.2 VIRTUALENV 400
C.3 CON DA 402
C.4 IPYTHON 403
C.5 NUMPY 405
C.6 MATPLOTLIB 410
C.7 SCIPY 412
C.8 PANDAS 413
Index 417
Chapman Hall/CRC
Mathematical and Computational Biology Series
*■■ *■ * %՛■
PYTHON FOR BIOINFORMATICS
SECOND EDITION ř ՛
i * t
* ‘f · ’4 t X
i ։ .
In today’s data driven biology, programming knowledge is essential in turning ideas
into testable hypotheses. Based on the author’s extensive experience, Python for
Bioinformatics, Second Edition helps biologists come to grips with the basics
of software development. Requiring no prior knowledge of programming-related
concepts, the book focuses on the easy-to-use, yet powerful, Python computer
language.
t
This new edition is updated throughout to Python 3 and is designed not just to
help scientists master the basics, but to do more in less time and in a reproducible
way. New developments added in this edition include NpSQL databases, the
i
Anaconda Python distribution, graphical libraries like Bokeh, and the use of
GitHub for collaborative development.
Features
• Provides a solid introduction to programming with Python, making the book
accessible for readers without previous programming experience
• Covers advanced topics, such as web applications with Bottle, databases
(MySQL, SQLite and MongoDB), XML and Bokeh
♦ Contains ready-to-use code applicable to real-world biological problems
♦ All code included in this book available in a companion GitHub repository
and can be run online in PythonAnywhere and in a cloud-based Jupyter
Notebook.
|
| any_adam_object | 1 |
| author | Bassi, Sebastian |
| author_GND | (DE-588)1143747739 |
| author_facet | Bassi, Sebastian |
| author_role | aut |
| author_sort | Bassi, Sebastian |
| author_variant | s b sb |
| building | Verbundindex |
| bvnumber | BV044447247 |
| callnumber-first | Q - Science |
| callnumber-label | QH324 |
| callnumber-raw | QH324.2 |
| callnumber-search | QH324.2 |
| callnumber-sort | QH 3324.2 |
| callnumber-subject | QH - Natural History and Biology |
| classification_rvk | WC 7700 |
| ctrlnum | (OCoLC)1004312379 (DE-599)BVBBV044447247 |
| dewey-full | 570.285 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570.285 |
| dewey-search | 570.285 |
| dewey-sort | 3570.285 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| edition | Second edition |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02134nam a2200481 c 4500</leader><controlfield tag="001">BV044447247</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210323 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">170811s2018 xxua||| |||| 00||| eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="a">017014460</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781138035263</subfield><subfield code="9">978-1-138-03526-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1138035262</subfield><subfield code="9">1-138-03526-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1004312379</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044447247</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-703</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH324.2</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">570.285</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 7700</subfield><subfield code="0">(DE-625)148144:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bassi, Sebastian</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1143747739</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Python for bioinformatics</subfield><subfield code="c">Sebastian Bassi</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton ; London ; New York</subfield><subfield code="b">CRC Press</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xxix, 430 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Chapman & Hall/CRC mathematical and computational biology series</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-315-26874-3</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Regensburg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029848263&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Regensburg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029848263&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Klappentext</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029848263</subfield></datafield></record></collection> |
| id | DE-604.BV044447247 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:53:12Z |
| institution | BVB |
| isbn | 9781138035263 1138035262 |
| language | English |
| lccn | 017014460 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029848263 |
| oclc_num | 1004312379 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-11 DE-703 |
| owner_facet | DE-355 DE-BY-UBR DE-11 DE-703 |
| physical | xxix, 430 Seiten Illustrationen, Diagramme |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | CRC Press |
| record_format | marc |
| series2 | Chapman & Hall/CRC mathematical and computational biology series |
| spelling | Bassi, Sebastian Verfasser (DE-588)1143747739 aut Python for bioinformatics Sebastian Bassi Second edition Boca Raton ; London ; New York CRC Press [2018] xxix, 430 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Chapman & Hall/CRC mathematical and computational biology series Includes bibliographical references and index Bioinformatics Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf Bioinformatik (DE-588)4611085-9 s Python Programmiersprache (DE-588)4434275-5 s DE-604 Erscheint auch als Online-Ausgabe 978-1-315-26874-3 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029848263&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029848263&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Bassi, Sebastian Python for bioinformatics Bioinformatics Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
| subject_GND | (DE-588)4434275-5 (DE-588)4611085-9 |
| title | Python for bioinformatics |
| title_auth | Python for bioinformatics |
| title_exact_search | Python for bioinformatics |
| title_full | Python for bioinformatics Sebastian Bassi |
| title_fullStr | Python for bioinformatics Sebastian Bassi |
| title_full_unstemmed | Python for bioinformatics Sebastian Bassi |
| title_short | Python for bioinformatics |
| title_sort | python for bioinformatics |
| topic | Bioinformatics Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
| topic_facet | Bioinformatics Python (Computer program language) Python Programmiersprache Bioinformatik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029848263&sequence=000001&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=029848263&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT bassisebastian pythonforbioinformatics |