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020 _a9781484245224
024 7 _a10.1007/978-1-4842-4523-1
_2doi
040 _beng
_dWaSeSS
_cAIMIT LIBRARY
050 4 _aQA76.73.P98
072 7 _aUMX
_2bicssc
072 7 _aCOM051360
_2bisacsh
072 7 _aUMX
_2thema
082 0 4 _a005.1372
_21
_bLANA
092 _aEBOOK
100 1 _aLancaster, Alexander.
_932824
245 1 0 _apython for the life sciences :
_ba gentle introduction to python for life scientists /
_cBy Alexander Lancaster and Gordon Webster.
250 _a1st ed.
260 _aNew York :
_bApress ,
_c2022.
300 _axxxvi,376p. ;
_c25 cm.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
506 _aRequires an SPL library card.
520 _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.
538 _aMode of access: World Wide Web.
650 0 _aPython (Computer program language)
_932825
650 0 _aOpen source software
_932826
650 0 _aComputer programming
_932827
650 0 _aSlicing and dicing genomes
_932828
655 7 _aElectronic books.
_2local
_932829
700 1 _aWebster, Gordon.
_c(Biologist)
_932830
710 2 _aSpringerLink (Online service)
_932831
710 2 _aO'Reilly (Firm)
_932832
710 2 _aSerials Solutions
_932833
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781484245224
776 0 8 _iPrinted edition:
_z9781484245248
856 4 0 _yView this electronic item in O'Reilly Online Learning: Academic/Public Library Edition.
_uhttps://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484245231/?ar
_zAn e-book available through full-text database.
942 _2ddc
_cBK
_e1st
_k005.1372 LANA
999 _c222716
_d222716
999 _b03659439