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Algorithms for Computational Biology

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Cover of 'Algorithms for Computational Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Biomedical Applications of Prototype Based Classifiers and Relevance Learning
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    Chapter 2 Describing the Local Structure of Sequence Graphs
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    Chapter 3 Mapping RNA-seq Data to a Transcript Graph via Approximate Pattern Matching to a Hypertext
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    Chapter 4 A Fast Algorithm for Large Common Connected Induced Subgraphs
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    Chapter 5 Ranking Vertices for Active Module Recovery Problem
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    Chapter 6 Computational Processes that Appear to Model Human Memory
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    Chapter 7 Inferring the Distribution of Fitness Effects (DFE) of Newly-Arising Mutations Using Samples Taken from Evolving Populations in Real Time
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    Chapter 8 An Efficient Algorithm for the Rooted Triplet Distance Between Galled Trees
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    Chapter 9 Clustering the Space of Maximum Parsimony Reconciliations in the Duplication-Transfer-Loss Model
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    Chapter 10 CSA-X: Modularized Constrained Multiple Sequence Alignment
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    Chapter 11 Quantifying Information Flow in Chemical Reaction Networks
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    Chapter 12 Parallel Biological Sequence Comparison in Linear Space with Multiple Adjustable Bands
Attention for Chapter 8: An Efficient Algorithm for the Rooted Triplet Distance Between Galled Trees
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Chapter title
An Efficient Algorithm for the Rooted Triplet Distance Between Galled Trees
Chapter number 8
Book title
Algorithms for Computational Biology
Published by
Springer, Cham, June 2017
DOI 10.1007/978-3-319-58163-7_8
Book ISBNs
978-3-31-958162-0, 978-3-31-958163-7
Authors

Jesper Jansson, Ramesh Rajaby, Wing-Kin Sung

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