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Evolutionary Genomics

Overview of attention for book
Cover of 'Evolutionary Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Genome Biology and Diversity
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    Chapter 2 Probability, Statistics, and Computational Science
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    Chapter 3 A Not-So-Long Introduction to Computational Molecular Evolution
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    Chapter 4 Whole-Genome Alignment
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    Chapter 5 Inferring Orthology and Paralogy
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    Chapter 6 Transposable Elements: Classification, Identification, and Their Use As a Tool For Comparative Genomics
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    Chapter 7 Modern Phylogenomics: Building Phylogenetic Trees Using the Multispecies Coalescent Model
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    Chapter 8 Genome-Wide Comparative Analysis of Phylogenetic Trees: The Prokaryotic Forest of Life
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    Chapter 9 The Methodology Behind Network Thinking: Graphs to Analyze Microbial Complexity and Evolution
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    Chapter 10 Bayesian Molecular Clock Dating Using Genome-Scale Datasets
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    Chapter 11 Genome Evolution in Outcrossing vs. Selfing vs. Asexual Species
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    Chapter 12 Selection Acting on Genomes
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    Chapter 13 Looking for Darwin in Genomic Sequences: Validity and Success Depends on the Relationship Between Model and Data
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    Chapter 14 Evolution of Viral Genomes: Interplay Between Selection, Recombination, and Other Forces
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    Chapter 15 Evolution of Protein Domain Architectures
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    Chapter 16 New Insights on the Evolution of Genome Content: Population Dynamics of Transposable Elements in Flies and Humans
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    Chapter 17 Association Mapping and Disease: Evolutionary Perspectives
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    Chapter 18 Ancestral Population Genomics
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    Chapter 19 Introduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN
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    Chapter 20 Multiple Data Analyses and Statistical Approaches for Analyzing Data from Metagenomic Studies and Clinical Trials
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    Chapter 21 Systems Genetics for Evolutionary Studies
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    Chapter 22 Semantic Integration and Enrichment of Heterogeneous Biological Databases
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    Chapter 23 High-Performance Computing in Bayesian Phylogenetics and Phylodynamics Using BEAGLE
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    Chapter 24 Scalable Workflows and Reproducible Data Analysis for Genomics
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    Chapter 25 Sharing Programming Resources Between Bio* Projects
Attention for Chapter 24: Scalable Workflows and Reproducible Data Analysis for Genomics
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Chapter title
Scalable Workflows and Reproducible Data Analysis for Genomics
Chapter number 24
Book title
Evolutionary Genomics
Published by
Humana, New York, NY, July 2019
DOI 10.1007/978-1-4939-9074-0_24
Pubmed ID
Book ISBNs
978-1-4939-9073-3, 978-1-4939-9074-0

Francesco Strozzi, Roel Janssen, Ricardo Wurmus, Michael R. Crusoe, George Githinji, Paolo Di Tommaso, Dominique Belhachemi, Steffen Möller, Geert Smant, Joep de Ligt, Pjotr Prins

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 39%
Researcher 5 16%
Professor > Associate Professor 2 6%
Other 2 6%
Student > Master 2 6%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 29%
Computer Science 8 26%
Biochemistry, Genetics and Molecular Biology 7 23%
Environmental Science 1 3%
Immunology and Microbiology 1 3%
Other 0 0%
Unknown 5 16%