- Title
- Data structures and algorithms for bioinformatics
- Creator
- Machanick, Philip
- Subject
- To be catalogued
- Date Issued
- 2017
- Date
- 2017
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/439172
- Identifier
- vital:73552
- Identifier
- https://homes.cs.ru.ac.za/philip/Courses/BioinfMScAlgorithms/BioinfAlgorithms.pdf
- Description
- WHY THIS MATERIAL? Bioinformatics is a difficult subject because it integrates so much from multiple disciplines. The emphasis here is on algorithmic thinking–working from a problem to an implementation while thinking analytically about efficiency concerns. The picture illustrates a general plan for algorithmic thinking. Anything that can be classed as an algorithm can be analysed and your design choices are not always to find the most efficient algorithm possible. The aim is to solve a problem as efficiently as possible; if it is something you do only once, that results in a rather different set of choices than if you are going to do it many times. And–of course–size counts. That is what this course is am I doing this once
- Format
- 82 pages
- Format
- Language
- English
- Relation
- Rhodes University
- Relation
- Machanick, P., 2017. Data structures and algorithms for bioinformatics
- Relation
- Rhodes University volume 2017 number 1 1 82 2017 document
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of Philip Machanick in the RAMpage Research imprint under an Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) licence: http://creativecommons.org/licenses/by-nc/4.0/
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Collections
Machanick, Philip (Assoc Prof)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
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