Bio/Recursion: Exploring CS and Bioinformatics in R. Shawn Thomas O'Neil
Bio-Recursion-Exploring-CS.pdf
ISBN: 9780692051696 | 160 pages | 4 Mb
- Bio/Recursion: Exploring CS and Bioinformatics in R
- Shawn Thomas O'Neil
- Page: 160
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780692051696
- Publisher: Shawn Thomas O'Neil
Books to download on iphone free Bio/Recursion: Exploring CS and Bioinformatics in R
Bio/Recursion: Exploring CS and Bioinformatics in R by Shawn Thomas O'Neil Bio/Recursion introduces topics in programming, computer science, and bioinformatics via examples in the R programming language. While often associated with statistics, Bio/Recursion employs R’s algorithmic capabilities to implement and visualize several fascinating methods, ranging from DNA alignment to drawing fractal trees. Recursion (self-reference) provides a central theme, with topics spanning searching, sorting, data structures, proofs, fractals, and important bio-informatics algorithms. Along the way, over 100 color illustrations and 150 code blocks illuminate the text, and dozens of exercises challenge the readers’ imagination.
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Bio/Recursion, O'Neil, Shawn Thomas - sidottu - Suomalainen.com
Bio/Recursion implements and explores topics in computer science via examples from bioinformatics (and other biologically-inspired systems). It does so in the R programming language, visualizing the processes involved and considering functional and recursive procedures, as well as more procedural
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Peter Clote's curriculum vitae - BC Bioinformatics - Boston College
Mathematics: probability theory, statistics, combinatorics, mathematical logic,recursion theory. Algorithm design and implementation, mathematical modeling, theoretical computer science, formal language theory, computational complexity. Computational biology and bioinformatics: protein and RNA structure prediction
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awesome-courses - :books: List of awesome university courses for learningComputer Science! They represent a wonderful family of programming environments useful both to computer scientists and to people in many other fields, such as computational biology and computational linguistics, in which data is naturally
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