Bio/Recursion : Exploring CS and Bioinformatics in R

Shawn T O'Neil

ISBN 10: 0692051694 / ISBN 13: 9780692051696

Published by BERTRAMS PRINT ON DEMAND Jan 2018, 2018

About this Item

Neuware - 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 dynamic programming alternatives.

Seller Inventory # 9780692051696

Bibliographic Details

• Title: Bio/Recursion : Exploring CS and Bioinformatics in R
• Publisher: BERTRAMS PRINT ON DEMAND Jan 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 0692051694
• ISBN 13: 9780692051696
• Binding: Buch
• Condition: Neu
• Dimensions: 279W x 216H x 14D millimeters 279 millimeters width by 216 millimeters height by 14 millimeters depth
• Weight: 812 grams

About this title

Synopsis

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.

Chapters:

1. Programming in R
2. Recursive Structures
3. Searching and Sorting
4. Induction and Stacks
5. Hash Tables, Memoization, and Dynamic Programming
6. Alignment
7. Fast Alignment and Local Alignment
8. Hidden Markov Models
9. Recursive Drawing and L-Systems

About the Author

Shawn T. O'Neil earned a BS in computer science from Northern Michigan University, and later an MS and PhD in the same subject from the University of Notre Dame. His past and current research focuses on bioinformatics. O'Neil has developed and taught several courses at both Notre Dame and Oregon State University, where he currently works at the Center for Genome Research and Biocomputing.