↓ Skip to main content

PLOS

Chapter 12: Human Microbiome Analysis

Overview of attention for article published in PLoS Computational Biology, December 2012
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
24 X users
patent
85 patents
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
1653 Mendeley
citeulike
6 CiteULike
Title
Chapter 12: Human Microbiome Analysis
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002808
Pubmed ID
Authors

Xochitl C. Morgan, Curtis Huttenhower

Abstract

Humans are essentially sterile during gestation, but during and after birth, every body surface, including the skin, mouth, and gut, becomes host to an enormous variety of microbes, bacterial, archaeal, fungal, and viral. Under normal circumstances, these microbes help us to digest our food and to maintain our immune systems, but dysfunction of the human microbiota has been linked to conditions ranging from inflammatory bowel disease to antibiotic-resistant infections. Modern high-throughput sequencing and bioinformatic tools provide a powerful means of understanding the contribution of the human microbiome to health and its potential as a target for therapeutic interventions. This chapter will first discuss the historical origins of microbiome studies and methods for determining the ecological diversity of a microbial community. Next, it will introduce shotgun sequencing technologies such as metagenomics and metatranscriptomics, the computational challenges and methods associated with these data, and how they enable microbiome analysis. Finally, it will conclude with examples of the functional genomics of the human microbiome and its influences upon health and disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users 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 1,653 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 27 2%
Brazil 7 <1%
Germany 6 <1%
Spain 6 <1%
United Kingdom 6 <1%
Mexico 5 <1%
Japan 4 <1%
India 4 <1%
Italy 3 <1%
Other 24 1%
Unknown 1561 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 356 22%
Researcher 318 19%
Student > Master 196 12%
Student > Bachelor 169 10%
Student > Doctoral Student 88 5%
Other 280 17%
Unknown 246 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 548 33%
Biochemistry, Genetics and Molecular Biology 241 15%
Medicine and Dentistry 196 12%
Immunology and Microbiology 112 7%
Computer Science 34 2%
Other 220 13%
Unknown 302 18%