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020 _a9783642347498
_9978-3-642-34749-8
024 7 _a10.1007/978-3-642-34749-8
_2doi
035 _ato000484561
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQH324.2-324.25
072 7 _aPS
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aSCI086000
_2bisacsh
072 7 _aCOM018000
_2bisacsh
082 0 4 _a570.285
_223
100 1 _aWünschiers, Röbbe.
_eauthor.
_9417478
245 1 0 _aComputational Biology
_h[electronic resource] :
_bA Practical Introduction to BioData Processing and Analysis with Linux, MySQL, and R /
_cby Röbbe Wünschiers.
250 _a2nd ed. 2013.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXXIX, 449 p. 80 illus., 66 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aPart 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.
520 _aThis 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.
650 0 _aLife Sciences.
_9295653
650 0 _aComputer Science.
_9155490
650 0 _aBiochemistry.
_9299060
650 0 _aProteomics.
_9303854
650 0 _aBioinformatics.
_9303853
650 0 _aBiology
_xData processing.
_9305000
650 1 4 _aLife Sciences.
_9295653
650 2 4 _aComputer Appl. in Life Sciences.
_9305001
650 2 4 _aBioinformatics.
_9303853
650 2 4 _aProteomics.
_9303854
650 2 4 _aBiochemistry, general.
_9566263
650 2 4 _aComputer Applications.
_9303282
650 2 4 _aBiophysics and Biological Physics.
_9410468
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-34749-8
912 _aZDB-2-SBL
999 _c358414