LEADER 04941nam 22006735 450 001 9910349527303321 005 20240425151211.0 010 $a9781484245231 010 $a1-5231-5041-6 010 $a1-4842-4523-7 024 7 $a10.1007/978-1-4842-4523-1 035 $a(CKB)4100000009382622 035 $a(DE-He213)978-1-4842-4523-1 035 $a(MiAaPQ)EBC5909881 035 $a(CaSebORM)9781484245231 035 $a(EXLCZ)994100000009382622 100 $a20190927d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPython for the life sciences $ea gentle introduction to Python for life scientists /$fAlexander Lancaster, Gordon Webster 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d[2019] 210 4$dŠ2019 215 $a1 online resource (XXXVI, 376 p. 163 illus., 47 illus. in color.) 300 $aIncludes index. 311 1 $a9781484245224 311 1 $a1-4842-4522-9 327 $a1. Getting Started with Python -- 2. Python at the Lab Bench -- 3. Making Sense of Sequences -- 4. A Statistical Interlude -- 5. Open Doors to your Data -- 6. Finding Needles in Haystacks -- 7. Object Lessons -- 8. Slicing and Dicing Genomic Data -- 9. The Wells! The Wells! -- 10. Well on the Way -- 11. Molecules in 3D -- 12. Turning Genes on and off -- 13. Taming the Network Hairball -- 14. Genetic Feedback Loops -- 15. Growing a Virtual Garden -- 16. How the Leopard got its Spots -- 17. Foxes Guarding Hen Houses -- 18. A Virtual Flu Epidemic -- 19. Retracing Life?s Footsteps. 330 $aWritten in a fun, accessible and engaging style, this book will introduce you to the Python language with fully worked examples of Python code drawn from all aspects of life sciences, including bioinformatics, structural biology, developmental biology, and evolutionary biology and ecology. Using familiar examples designed specifically for life scientists, you'll learn the basics of the language from the very first chapters and progress from there. You'll find out how to use Python to automate lab calculations, search for gene promoter sequences, rotate a molecular bond, build a cellular toggle switch, model animal coat pattern formation, grow a virtual plant, simulate a flu epidemic, or evolve populations. Python for the Life Sciences provides the tools, confidence and inspiration to start crafting your own Python solutions for the challenges you face in your research. If you are a life scientist interested in learning Python to jump-start your research, this book is for you. What You'll Learn Write Python scripts to automate your lab calculations Search for important motifs in genome sequences Use object-oriented programming with Python Study mining interaction network data for patterns Review dynamic modeling of biochemical switches Who This Book Is For Life scientists with little or no programming experience, including undergraduate and graduate students, postdoctoral researchers in academia and industry, medical professionals, and teachers/lecturers. ?A comprehensive introduction to using Python for computational biology... A lovely book with humor and perspective? -- John Novembre, Associate Professor of Human Genetics, University of Chicago and MacArthur Fellow ?Fun, entertaining, witty and darn useful. A magical portal to the big data revolution? -- Sandro Santagata, Assistant Professor in Pathology, Harvard Medical School ?Alex and Gordon?s enthusiasm for Python is contagious? -- Glenys Thomson Professor of Integrative Biology, University of California, Berkeley. 606 $aPython (Computer program language) 606 $aOpen source software 606 $aComputer programming 606 $aPython (Llenguatge de programaciķ)$2lemac 606 $aProgramari lliure$2lemac 606 $aProgramaciķ (Ordinadors)$2lemac 606 $aCičncies de la vida$xInformātica$2lemac 606 $aPython$3https://scigraph.springernature.com/ontologies/product-market-codes/I29080 606 $aOpen Source$3https://scigraph.springernature.com/ontologies/product-market-codes/I29090 615 0$aPython (Computer program language). 615 0$aOpen source software. 615 0$aComputer programming. 615 7$aPython (Llenguatge de programaciķ) 615 7$aProgramari lliure 615 7$aProgramaciķ (Ordinadors) 615 7$aCičncies de la vida$xInformātica 615 14$aPython. 615 24$aOpen Source. 676 $a005.133 700 $aLancaster$b Alexander$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064801 702 $aWebster$b Gordon$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349527303321 996 $aPython for the Life Sciences$92541025 997 $aUNINA