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Algorithms in Bioinformatics

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Cover of 'Algorithms in Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Multichromosomal Genome Median and Halving Problems
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    Chapter 2 A Branch-and-Bound Method for the Multichromosomal Reversal Median Problem
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    Chapter 3 Decompositions of Multiple Breakpoint Graphs and Rapid Exact Solutions to the Median Problem
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    Chapter 4 Read Mapping Algorithms for Single Molecule Sequencing Data
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    Chapter 5 Exact Transcriptome Reconstruction from Short Sequence Reads
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    Chapter 6 Post-Hybridization Quality Measures for Oligos in Genome-Wide Microarray Experiments
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    Chapter 7 NAPX: A Polynomial Time Approximation Scheme for the Noah’s Ark Problem
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    Chapter 8 Minimum Common String Partition Parameterized
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    Chapter 9 Hardness and Approximability of the Inverse Scope Problem
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    Chapter 10 Rapid Neighbour-Joining
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    Chapter 11 Efficiently Computing Arbitrarily-Sized Robinson-Foulds Distance Matrices
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    Chapter 12 Efficient Genome Wide Tagging by Reduction to SAT
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    Chapter 13 Computing the Minimal Tiling Path from a Physical Map by Integer Linear Programming
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    Chapter 14 An Efficient Lagrangian Relaxation for the Contact Map Overlap Problem
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    Chapter 15 A Faster Algorithm for RNA Co-folding
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    Chapter 16 An Automated Combination of Kernels for Predicting Protein Subcellular Localization
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    Chapter 17 Fast Target Set Reduction for Large-Scale Protein Function Prediction: A Multi-class Multi-label Machine Learning Approach
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    Chapter 18 Multiple Instance Learning Allows MHC Class II Epitope Predictions Across Alleles
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    Chapter 19 An Algorithm for Orienting Graphs Based on Cause-Effect Pairs and Its Applications to Orienting Protein Networks
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    Chapter 20 Enumerating Precursor Sets of Target Metabolites in a Metabolic Network
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    Chapter 21 Boosting the Performance of Inference Algorithms for Transcriptional Regulatory Networks Using a Phylogenetic Approach
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    Chapter 22 Fast Bayesian Haplotype Inference Via Context Tree Weighting
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    Chapter 23 Genotype Sequence Segmentation: Handling Constraints and Noise.
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    Chapter 24 Constructing Phylogenetic Supernetworks from Quartets
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    Chapter 25 Summarizing Multiple Gene Trees Using Cluster Networks
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    Chapter 26 Fast and Adaptive Variable Order Markov Chain Construction
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    Chapter 27 Computing Alignment Seed Sensitivity with Probabilistic Arithmetic Automata
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    Chapter 28 The Relation between Indel Length and Functional Divergence: A Formal Study
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    Chapter 29 Detecting Repeat Families in Incompletely Sequenced Genomes
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    Chapter 30 Novel Phylogenetic Network Inference by Combining Maximum Likelihood and Hidden Markov Models
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    Chapter 31 A Local Move Set for Protein Folding in Triangular Lattice Models
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    Chapter 32 Protein Decoy Generation Using Branch and Bound with Efficient Bounding
Attention for Chapter 19: An Algorithm for Orienting Graphs Based on Cause-Effect Pairs and Its Applications to Orienting Protein Networks
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Chapter title
An Algorithm for Orienting Graphs Based on Cause-Effect Pairs and Its Applications to Orienting Protein Networks
Chapter number 19
Book title
Algorithms in Bioinformatics
Published by
Springer Berlin Heidelberg, January 2008
DOI 10.1007/978-3-540-87361-7_19
Book ISBNs
978-3-54-087360-0, 978-3-54-087361-7
Authors

Alexander Medvedovsky, Vineet Bafna, Uri Zwick, Roded Sharan

Editors

Keith A. Crandall, Jens Lagergren

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 55%
Researcher 2 18%
Professor 1 9%
Student > Master 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 5 45%
Agricultural and Biological Sciences 3 27%
Biochemistry, Genetics and Molecular Biology 2 18%
Unknown 1 9%