Computational Biolog [کتاب لاتین]

W??nschiers, R??bbe.

Record Identifier: 53692
Added Entry: SpringerLink (Online service)
Old Record Identifier: 187189
Document Number: EB1003587
Personal Name - Primary Intelectual Responsibility: W??nschiers, R??bbe.
Title and statement of responsibility: Computational Biolog،A Practical Introduction to BioData Processing and Analysis with Linux, MySQL, and R// by R??bbe W??nschiers
Place of Publication: Berlin, Heidelberg
Name of Publisher: Springer Berlin Heidelberg :Imprint: Springer,
Date of Publication: 2013.
Physical Description: XXIX, 449 p . 80 illus., 66 illus. in color., online resource.
subject: Life sciences
Life sciences
subject: Computer science
Computer science
subject: Biochemistry
Biochemistry
subject: Proteomics
Proteomics
subject: Bioinformatics
Bioinformatics
subject: Biology, Data processing
Biology, Data processing
subject: Life Sciences
Life Sciences
subject: Computer Appl. in Life Sciences
Computer Appl. in Life Sciences
subject: Bioinformatics
Bioinformatics
subject: Proteomics
Proteomics
subject: Biochemistry, general
Biochemistry, general
subject: Computer Applications
Computer Applications
subject: Biophysics and Biological Physics
Biophysics and Biological Physics
subject: Electronic books
Electronic books
Other Physical Details: . 80 illus., 66 illus. in color., online resource.
. 80 illus., 66 illus. in color., online resource.
Notes Pertaining to Publication, Distribution, Etc: e
e
Contents Note: This greatly expanded 2nd edition provides a practical introduction to - data processing with Linux tools and the programming languages AWK and Perl - data management with the relational database system MySQL, and - data analysis and visualization with the statistical computing environment R for students and practitioners in the life sciences. Although written for beginners, experienced researchers in areas involving bioinformatics and computational biology may benefit from numerous tips and tricks that help to process, filter and format large datasets. Learning by doing is the basic concept of this book. Worked examples illustrate how to employ data processing and analysis techniques, e.g. for - finding proteins potentially causing pathogenicity in bacteria, - supporting the significance of BLAST with homology modeling, or - detecting candidate proteins that may be redox-regulated, on the basis of their structure. All the software tools and datasets used are freely available. One section is devoted to explaining setup and maintenance of Linux as an operating system independent virtual machine. The author's experiences and knowledge gained from working and teaching in both academia and industry constitute the foundation for this practical approach.
This greatly expanded 2nd edition provides a practical introduction to - data processing with Linux tools and the programming languages AWK and Perl - data management with the relational database system MySQL, and - data analysis and visualization with the statistical computing environment R for students and practitioners in the life sciences. Although written for beginners, experienced researchers in areas involving bioinformatics and computational biology may benefit from numerous tips and tricks that help to process, filter and format large datasets. Learning by doing is the basic concept of this book. Worked examples illustrate how to employ data processing and analysis techniques, e.g. for - finding proteins potentially causing pathogenicity in bacteria, - supporting the significance of BLAST with homology modeling, or - detecting candidate proteins that may be redox-regulated, on the basis of their structure. All the software tools and datasets used are freely available. One section is devoted to explaining setup and maintenance of Linux as an operating system independent virtual machine. The author's experiences and knowledge gained from working and teaching in both academia and industry constitute the foundation for this practical approach.
Contents Note: Part I Whetting Your Appetite -- 1 Introduction -- 2 Content of this Book -- Part II Computer & Operating Systems -- 3 Unix/Linux -- Part III Working with Linux -- 4 The First Touch -- 5 Working with Files -- 6 Remote Connections -- 7 Playing -- 8 Using the Shell -- 9 Installing BLAST+ and ClustalW -- 10 Shell Programming -- 11 Regular Expressions -- 12 Sed -- Part IV Programming -- 13 AWK -- 14 Perl -- 15 Other Programming Languages -- Part V Advanced Data Analysis -- 16 Relational Databases with MySQL -- 17 The Statistics Suite R -- Part VI Worked Examples -- 18 Genomic Analysis of the Pathogenicity Factors from E. coli Strain O157:H7 and EHEC Strain O104:H4 -- 19 Limits of BLAST & Homology Modeling -- 20 Virtual Sequencing of pUC18c -- 21 Querying for Potential Redox-Regulated Enzymes -- Part VII Additional Material -- References -- A Supplementary Information -- Solutions -- Index.
Part I Whetting Your Appetite -- 1 Introduction -- 2 Content of this Book -- Part II Computer & Operating Systems -- 3 Unix/Linux -- Part III Working with Linux -- 4 The First Touch -- 5 Working with Files -- 6 Remote Connections -- 7 Playing -- 8 Using the Shell -- 9 Installing BLAST+ and ClustalW -- 10 Shell Programming -- 11 Regular Expressions -- 12 Sed -- Part IV Programming -- 13 AWK -- 14 Perl -- 15 Other Programming Languages -- Part V Advanced Data Analysis -- 16 Relational Databases with MySQL -- 17 The Statistics Suite R -- Part VI Worked Examples -- 18 Genomic Analysis of the Pathogenicity Factors from E. coli Strain O157:H7 and EHEC Strain O104:H4 -- 19 Limits of BLAST & Homology Modeling -- 20 Virtual Sequencing of pUC18c -- 21 Querying for Potential Redox-Regulated Enzymes -- Part VII Additional Material -- References -- A Supplementary Information -- Solutions -- Index.
number(ISBN): 9783642347498
9783642347498
Number: ‎5‎7‎0‎.‎2‎8‎5‎
‎5‎7‎0‎.‎2‎8‎5‎
Library of Congress Classification‭‭: QH
QH ‎3‎‎2‎‎4‎‎.‎‎2‎‎5‎ ‎3‎‎2‎‎4‎‎.‎‎2‎‎5‎ ‎.‎W‎9‎C‎3‎ ‎.‎W‎9‎C‎3‎
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