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Comparative Genomics

Overview of attention for book
Cover of 'Comparative Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Gene Phylogenies and Orthologous Groups
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    Chapter 2 Pan-Genome Storage and Analysis Techniques
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    Chapter 3 Comparative Genomics for Prokaryotes
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    Chapter 4 Assembly, Annotation, and Comparative Genomics in PATRIC, the All Bacterial Bioinformatics Resource Center
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    Chapter 5 Phylogenomics
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    Chapter 6 Comparative Genome Annotation
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    Chapter 7 A Practical Guide for Comparative Genomics of Mobile Genetic Elements in Prokaryotic Genomes
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    Chapter 8 Comparative Metagenomics
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    Chapter 9 Genome Rearrangement Analysis: Cut and Join Genome Rearrangements and Gene Cluster Preserving Approaches
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    Chapter 10 Whole Genome Duplication in Plants: Implications for Evolutionary Analysis
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    Chapter 11 Sequence-Based Synteny Analysis of Multiple Large Genomes
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    Chapter 12 Family-Free Genome Comparison
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    Chapter 13 Comparative Methods for Reconstructing Ancient Genome Organization
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    Chapter 14 Comparative RNA Genomics
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    Chapter 15 Bioinformatic Approaches for Comparative Analysis of Viruses
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    Chapter 16 Comparative Genomics of Gene Loss and Gain in Caenorhabditis and Other Nematodes
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    Chapter 17 Comparative Genomics in Drosophila
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    Chapter 18 Comparative Genomics in Homo sapiens
Attention for Chapter 18: Comparative Genomics in Homo sapiens
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Chapter title
Comparative Genomics in Homo sapiens
Chapter number 18
Book title
Comparative Genomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7463-4_18
Pubmed ID
29277878
Book ISBNs
978-1-4939-7461-0, 978-1-4939-7463-4
Authors

Martin Oti, Michael Sammeth

Abstract

Genomes can be compared at different levels of divergence, either between species or within species. Within species genomes can be compared between different subpopulations, such as human subpopulations from different continents. Investigating the genomic differences between different human subpopulations is important when studying complex diseases that are affected by many genetic variants, as the variants involved can differ between populations. The 1000 Genomes Project collected genome-scale variation data for 2504 human individuals from 26 different populations, enabling a systematic comparison of variation between human subpopulations. In this chapter, we present step-by-step a basic protocol for the identification of population-specific variants employing the 1000 Genomes data. These variants are subsequently further investigated for those that affect the proteome or RNA splice sites, to investigate potentially biologically relevant differences between the populations.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 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 3 27%
Researcher 3 27%
Professor 1 9%
Student > Master 1 9%
Unknown 3 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 45%
Biochemistry, Genetics and Molecular Biology 1 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Social Sciences 1 9%
Chemistry 1 9%
Other 0 0%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 December 2017.
All research outputs
#20,456,235
of 23,012,811 outputs
Outputs from Methods in molecular biology
#9,940
of 13,156 outputs
Outputs of similar age
#378,178
of 442,345 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
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So far Altmetric has tracked 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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