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Bioinformatics and Phylogenetics

Overview of attention for book
Bioinformatics and Phylogenetics
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 A Review of Approaches for Optimizing Phylogenetic Likelihood Calculations
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    Chapter 2 Numerical Optimization Techniques in Maximum Likelihood Tree Inference
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    Chapter 3 High-Performance Phylogenetic Inference
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    Chapter 4 Hands-on Introduction to Sequence-Length Requirements in Phylogenetics
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    Chapter 5 Gene Family Evolution—An Algorithmic Framework
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    Chapter 6 Divide-and-Conquer Tree Estimation: Opportunities and Challenges
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    Chapter 7 Taxonomic Supertree Construction with Incertae sedis Taxa
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    Chapter 8 Evolutionary Rate Change and the Transformation from Additive to Ultrametric: Modal Similarity of Orthologs in Fish and Flower Phylogenomics
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    Chapter 9 Ancestral Genome Reconstruction
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    Chapter 10 Genome Rearrangement Problems with Single and Multiple Gene Copies: A Review
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    Chapter 11 Computational Models for Cancer Phylogenetics
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    Chapter 12 Clusters, Trees, and Phylogenetic Network Classes
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    Chapter 13 Advances in Computational Methods for Phylogenetic Networks in the Presence of Hybridization
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    Chapter 14 A Perspective on Comparative and Functional Genomics
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    Chapter 15 Integer Linear Programming in Computational Biology: Overview of ILP, and New Results for Traveling Salesman Problems in Biology
Attention for Chapter 5: Gene Family Evolution—An Algorithmic Framework
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mendeley
6 Mendeley
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Chapter title
Gene Family Evolution—An Algorithmic Framework
Chapter number 5
Book title
Bioinformatics and Phylogenetics
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-10837-3_5
Book ISBNs
978-3-03-010836-6, 978-3-03-010837-3
Authors

Nadia El-Mabrouk, Emmanuel Noutahi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Student > Bachelor 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Computer Science 2 33%
Unknown 2 33%

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