LEADER 04715nam 22008415 450 001 9910739430503321 005 20251117070915.0 010 $a9783642347498 010 $a3642347495 024 7 $a10.1007/978-3-642-34749-8 035 $a(CKB)3460000000120392 035 $a(EBL)1206057 035 $a(SSID)ssj0000878649 035 $a(PQKBManifestationID)11545947 035 $a(PQKBTitleCode)TC0000878649 035 $a(PQKBWorkID)10837272 035 $a(PQKB)10602883 035 $a(DE-He213)978-3-642-34749-8 035 $a(MiAaPQ)EBC6314562 035 $a(MiAaPQ)EBC1206057 035 $a(Au-PeEL)EBL1206057 035 $a(CaPaEBR)ebr10968973 035 $a(OCoLC)827003953 035 $a(PPN)168327481 035 $a(EXLCZ)993460000000120392 100 $a20130130d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputational Biology $eA Practical Introduction to BioData Processing and Analysis with Linux, MySQL, and R /$fby Röbbe Wünschiers 205 $a2nd ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (449 p.) 300 $aConsiderably revised new edition. 311 08$a9783642347481 311 08$a3642347487 320 $aIncludes bibliographical references (pages 433-435) and index. 327 $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. 330 $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 softwaretools 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. 606 $aBioinformatics 606 $aProteins 606 $aBiochemistry 606 $aApplication software 606 $aBiophysics 606 $aComputational and Systems Biology 606 $aBioinformatics 606 $aProtein Biochemistry 606 $aBiochemistry 606 $aComputer and Information Systems Applications 606 $aBiophysics 615 0$aBioinformatics. 615 0$aProteins. 615 0$aBiochemistry. 615 0$aApplication software. 615 0$aBiophysics. 615 14$aComputational and Systems Biology. 615 24$aBioinformatics. 615 24$aProtein Biochemistry. 615 24$aBiochemistry. 615 24$aComputer and Information Systems Applications. 615 24$aBiophysics. 676 $a570.285 686 $a42.10$2bcl 700 $aWu?nschiers$b Ro?bbe$4aut$4http://id.loc.gov/vocabulary/relators/aut$0909275 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739430503321 996 $aComputational Biology$93553808 997 $aUNINA