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Fast and simple protein-alignment-guided assembly of orthologous gene families from microbiome sequencing reads

Overview of attention for article published in Microbiome, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

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Title
Fast and simple protein-alignment-guided assembly of orthologous gene families from microbiome sequencing reads
Published in
Microbiome, January 2017
DOI 10.1186/s40168-017-0233-2
Pubmed ID
Authors

Daniel H. Huson, Rewati Tappu, Adam L Bazinet, Chao Xie, Michael P. Cummings, Kay Nieselt, Rohan Williams

Abstract

Microbiome sequencing projects typically collect tens of millions of short reads per sample. Depending on the goals of the project, the short reads can either be subjected to direct sequence analysis or be assembled into longer contigs. The assembly of whole genomes from metagenomic sequencing reads is a very difficult problem. However, for some questions, only specific genes of interest need to be assembled. This is then a gene-centric assembly where the goal is to assemble reads into contigs for a family of orthologous genes. We present a new method for performing gene-centric assembly, called protein-alignment-guided assembly, and provide an implementation in our metagenome analysis tool MEGAN. Genes are assembled on the fly, based on the alignment of all reads against a protein reference database such as NCBI-nr. Specifically, the user selects a gene family based on a classification such as KEGG and all reads binned to that gene family are assembled. Using published synthetic community metagenome sequencing reads and a set of 41 gene families, we show that the performance of this approach compares favorably with that of full-featured assemblers and that of a recently published HMM-based gene-centric assembler, both in terms of the number of reference genes detected and of the percentage of reference sequence covered. Protein-alignment-guided assembly of orthologous gene families complements whole-metagenome assembly in a new and very useful way.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 29%
Researcher 18 22%
Student > Master 8 10%
Student > Doctoral Student 5 6%
Student > Bachelor 5 6%
Other 10 12%
Unknown 13 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 36%
Biochemistry, Genetics and Molecular Biology 19 23%
Computer Science 5 6%
Immunology and Microbiology 4 5%
Environmental Science 3 4%
Other 9 11%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 05 September 2018.
All research outputs
#4,273,835
of 23,344,526 outputs
Outputs from Microbiome
#1,226
of 1,490 outputs
Outputs of similar age
#85,809
of 420,865 outputs
Outputs of similar age from Microbiome
#32
of 37 outputs
Altmetric has tracked 23,344,526 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 1,490 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.3. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 420,865 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 79% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.