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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 New Divide-and-Conquer Techniques for Large-Scale Phylogenetic Estimation
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    Chapter 2 New Polynomial-Time Algorithm Around the Scaffolding Problem
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    Chapter 3 Enumerating Dominant Pathways in Biological Networks by Information Flow Analysis
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    Chapter 4 Comparing Different Graphlet Measures for Evaluating Network Model Fits to BioGRID PPI Networks
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    Chapter 5 Graph-Theoretic Partitioning of RNAs and Classification of Pseudoknots
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    Chapter 6 P ath R acer : Racing Profile HMM Paths on Assembly Graph
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    Chapter 7 A Uniform Theory of Adequate Subgraphs for the Genome Median, Halving, and Aliquoting Problems
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    Chapter 8 Lightweight Metagenomic Classification via eBWT
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    Chapter 9 MULKSG: MUL tiple K S imultaneous G raph Assembly
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    Chapter 10 Counting Sorting Scenarios and Intermediate Genomes for the Rank Distance
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    Chapter 11 Generalizations of the Genomic Rank Distance to Indels
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    Chapter 12 Using INC Within Divide-and-Conquer Phylogeny Estimation
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    Chapter 13 Predicting Methylation from Sequence and Gene Expression Using Deep Learning with Attention
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    Chapter 14 A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation
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    Chapter 15 Transcript Abundance Estimation and the Laminar Packing Problem
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    Chapter 16 Efficient Algorithms for Finding Edit-Distance Based Motifs
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Title
Algorithms for Computational Biology
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-18174-1
ISBNs
978-3-03-018173-4, 978-3-03-018174-1
Editors

Holmes, Ian, Martín-Vide, Carlos, Vega-Rodríguez, Miguel A.

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