Computing Skills for Biologists (eBook)

A Toolbox

Stefano Allesina, Madlen Wilmes (Autoren)

eBook Download: PDF

2019
440 Seiten
Princeton University Press (Verlag)
978-0-691-18396-1 (ISBN)

Infos

Stefano Allesina is a professor in the Department of Ecology and Evolution at the University of Chicago and a deputy editor of PLoS Computational Biology. Madlen Wilmes is a data scientist and web developer.

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A concise introduction to key computing skills for biologistsWhile biological data continues to grow exponentially in size and quality, many of today's biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In Computing Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data.Based on the authors' experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book's examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more seasoned researchers will learn how to combine tools to make biological data analysis robust and reproducible. The book uses free software and code that can be run on any platform.Computing Skills for Biologists is ideal for scientists wanting to improve their technical skills and instructors looking to teach the main computing tools essential for biology research in the twenty-first century.Excellent resource for acquiring comprehensive computing skillsBoth novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysisCode examples based on published data spanning the breadth of biological disciplinesDetailed solutions provided for exercises in each chapterExtensive companion website

Produkt-Details

• Erscheint lt. Verlag: 15.1.2019
• Zusatzinfo: 7 b/w illus.
• Verlagsort: Princeton
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften ► Biologie ► Botanik
• Themenwelt: Naturwissenschaften ► Biologie ► Zoologie
• Schlagworte: Accession number (bioinformatics) • Application Programming Interface • Assertion (software development) • Atex (software) • Bash (Unix shell) • bioconductor • Biological data • Biological database • biologist • biopython • C++ • Command-line interface • Commit (data management) • Compiler • Computer • Computer Architecture • Computer Cluster • Computer file • computer lab • computer programming • Computer Science • Computer Scientist • computing • Conditional (computer programming) • Console application • Crystal Clear (software development) • Database • Data Science • data set • data wrangling • Directory (computing) • Expression (computer science) • Filename • File system permissions • General-purpose programming language • Genetic Algorithm • ggplot2 • Gnu Scientific Library • Google Scholar • graphical user interface • Icon (computing) • Indentation (typesetting) • In-memory database • Instance (computer science) • Instruction set • Join (SQL) • Lingo (programming language) • Mathematica • Mathematical Optimization • Metacharacter • Molecular Biology • Numerical analysis • object-oriented programming • operating system • OS X • Papers (software) • Parameter (computer programming) • Path (computing) • Polymorphism (computer science) • Processing (programming language) • Profiling (computer programming) • Programmer • Programming language • Programming style • Programming tool • Program Optimization • Python (programming language) • Ranking (information retrieval) • Redirection (computing) • Regular Expression • Relational Database • Relational database management system • RStudio • Select (SQL) • Server (computing) • Software • Software Developer • software development • Software Industry • Software release life cycle • Source lines of code • spreadsheet • SQL • SQLite • Statement (computer science) • String (computer science) • structured programming • text editor • Text file • typesetting • Typing • Unit Testing • UNIX • Variable (computer science) • Version Control • Web of science • Website • whole genome sequencing • word processor • Your Computer (British magazine)
• ISBN-10: 0-691-18396-1 / 0691183961
• ISBN-13: 978-0-691-18396-1 / 9780691183961