↓ Skip to main content

Microbial Environmental Genomics (MEG)

Overview of attention for book
Cover of 'Microbial Environmental Genomics (MEG)'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 "Deciphering Archaeal Communities" Omics Tools in the Study of Archaeal Communities.
  3. Altmetric Badge
    Chapter 2 Investigating the Endobacteria Which Thrive in Arbuscular Mycorrhizal Fungi
  4. Altmetric Badge
    Chapter 3 GenoSol Platform: A Logistic and Technical Platform for Conserving and Exploring Soil Microbial Diversity.
  5. Altmetric Badge
    Chapter 4 Sample Preparation for Fungal Community Analysis by High-Throughput Sequencing of Barcode Amplicons
  6. Altmetric Badge
    Chapter 5 Fungal Communities in Soils: Soil Organic Matter Degradation.
  7. Altmetric Badge
    Chapter 6 DNA-Based Characterization and Identification of Arbuscular Mycorrhizal Fungi Species.
  8. Altmetric Badge
    Chapter 7 Molecular Identification of Soil Eukaryotes and Focused Approaches Targeting Protist and Faunal Groups Using High-Throughput Metabarcoding.
  9. Altmetric Badge
    Chapter 8 Identification and In Situ Distribution of a Fungal Gene Marker: The Mating Type Genes of the Black Truffle
  10. Altmetric Badge
    Chapter 9 Stable-Isotope Probing RNA to Study Plant/Fungus Interactions
  11. Altmetric Badge
    Chapter 10 Targeted Gene Capture by Hybridization to Illuminate Ecosystem Functioning.
  12. Altmetric Badge
    Chapter 11 Hybridization of Environmental Microbial Community Nucleic Acids by GeoChip.
  13. Altmetric Badge
    Chapter 12 Reconstruction of Transformation Processes Catalyzed by the Soil Microbiome Using Metagenomic Approaches.
  14. Altmetric Badge
    Chapter 13 MG-RAST, a Metagenomics Service for Analysis of Microbial Community Structure and Function.
  15. Altmetric Badge
    Chapter 14 Analysis of Active Methylotrophic Communities: When DNA-SIP Meets High-Throughput Technologies.
  16. Altmetric Badge
    Chapter 15 Functional Metagenomics: Construction and High-Throughput Screening of Fosmid Libraries for Discovery of Novel Carbohydrate-Active Enzymes.
  17. Altmetric Badge
    Chapter 16 Metatranscriptomics of Soil Eukaryotic Communities
  18. Altmetric Badge
    Chapter 17 Analysis of Ancient DNA in Microbial Ecology.
Attention for Chapter 13: MG-RAST, a Metagenomics Service for Analysis of Microbial Community Structure and Function.
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

6 tweeters
1 Wikipedia page


13 Dimensions

Readers on

295 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
MG-RAST, a Metagenomics Service for Analysis of Microbial Community Structure and Function.
Chapter number 13
Book title
Microbial Environmental Genomics (MEG)
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3369-3_13
Pubmed ID
Book ISBNs
978-1-4939-3367-9, 978-1-4939-3369-3

Keegan, Kevin P, Glass, Elizabeth M, Meyer, Folker, Kevin P. Keegan, Elizabeth M. Glass, Folker Meyer, Keegan, Kevin P., Glass, Elizabeth M.


Francis Martin, Stephane Uroz


Approaches in molecular biology, particularly those that deal with high-throughput sequencing of entire microbial communities (the field of metagenomics), are rapidly advancing our understanding of the composition and functional content of microbial communities involved in climate change, environmental pollution, human health, biotechnology, etc. Metagenomics provides researchers with the most complete picture of the taxonomic (i.e., what organisms are there) and functional (i.e., what are those organisms doing) composition of natively sampled microbial communities, making it possible to perform investigations that include organisms that were previously intractable to laboratory-controlled culturing; currently, these constitute the vast majority of all microbes on the planet. All organisms contained in environmental samples are sequenced in a culture-independent manner, most often with 16S ribosomal amplicon methods to investigate the taxonomic or whole-genome shotgun-based methods to investigate the functional content of sampled communities. Metagenomics allows researchers to characterize the community composition and functional content of microbial communities, but it cannot show which functional processes are active; however, near parallel developments in transcriptomics promise a dramatic increase in our knowledge in this area as well. Since 2008, MG-RAST (Meyer et al., BMC Bioinformatics 9:386, 2008) has served as a public resource for annotation and analysis of metagenomic sequence data, providing a repository that currently houses more than 150,000 data sets (containing 60+ tera-base-pairs) with more than 23,000 publically available. MG-RAST, or the metagenomics RAST (rapid annotation using subsystems technology) server makes it possible for users to upload raw metagenomic sequence data in (preferably) fastq or fasta format. Assessments of sequence quality, annotation with respect to multiple reference databases, are performed automatically with minimal input from the user (see Subheading 4 at the end of this chapter for more details). Post-annotation analysis and visualization are also possible, directly through the web interface, or with tools like matR (metagenomic analysis tools for R, covered later in this chapter) that utilize the MG-RAST API ( http://api.metagenomics.anl.gov/api.html ) to easily download data from any stage in the MG-RAST processing pipeline. Over the years, MG-RAST has undergone substantial revisions to keep pace with the dramatic growth in the number, size, and types of sequence data that accompany constantly evolving developments in metagenomics and related -omic sciences (e.g., metatranscriptomics).

Twitter Demographics

The data shown below were collected from the profiles of 6 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 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
Brazil 2 <1%
India 1 <1%
France 1 <1%
Netherlands 1 <1%
Estonia 1 <1%
United States 1 <1%
Unknown 286 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 23%
Student > Master 53 18%
Researcher 44 15%
Student > Bachelor 26 9%
Student > Doctoral Student 25 8%
Other 35 12%
Unknown 43 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 93 32%
Agricultural and Biological Sciences 82 28%
Immunology and Microbiology 19 6%
Computer Science 12 4%
Environmental Science 11 4%
Other 27 9%
Unknown 51 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 31 December 2016.
All research outputs
of 9,111,545 outputs
Outputs from Methods in molecular biology
of 7,076 outputs
Outputs of similar age
of 338,883 outputs
Outputs of similar age from Methods in molecular biology
of 1,151 outputs
Altmetric has tracked 9,111,545 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,076 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 338,883 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 1,151 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.