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Proteogenomics produces comprehensive and highly accurate protein-coding gene annotation in a complete genome assembly of Malassezia sympodialis

Overview of attention for article published in Nucleic Acids Research, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 news outlet
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14 X users

Citations

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Title
Proteogenomics produces comprehensive and highly accurate protein-coding gene annotation in a complete genome assembly of Malassezia sympodialis
Published in
Nucleic Acids Research, January 2017
DOI 10.1093/nar/gkx006
Pubmed ID
Authors

Yafeng Zhu, Pär G. Engström, Christian Tellgren-Roth, Charles D. Baudo, John C. Kennell, Sheng Sun, R. Blake Billmyre, Markus S. Schröder, Anna Andersson, Tina Holm, Benjamin Sigurgeirsson, Guangxi Wu, Sundar Ram Sankaranarayanan, Rahul Siddharthan, Kaustuv Sanyal, Joakim Lundeberg, Björn Nystedt, Teun Boekhout, Thomas L. Dawson, Joseph Heitman, Annika Scheynius, Janne Lehtiö

Abstract

Complete and accurate genome assembly and annotation is a crucial foundation for comparative and functional genomics. Despite this, few complete eukaryotic genomes are available, and genome annotation remains a major challenge. Here, we present a complete genome assembly of the skin commensal yeast Malassezia sympodialis and demonstrate how proteogenomics can substantially improve gene annotation. Through long-read DNA sequencing, we obtained a gap-free genome assembly for M. sympodialis (ATCC 42132), comprising eight nuclear and one mitochondrial chromosome. We also sequenced and assembled four M. sympodialis clinical isolates, and showed their value for understanding Malassezia reproduction by confirming four alternative allele combinations at the two mating-type loci. Importantly, we demonstrated how proteomics data could be readily integrated with transcriptomics data in standard annotation tools. This increased the number of annotated protein-coding genes by 14% (from 3612 to 4113), compared to using transcriptomics evidence alone. Manual curation further increased the number of protein-coding genes by 9% (to 4493). All of these genes have RNA-seq evidence and 87% were confirmed by proteomics. The M. sympodialis genome assembly and annotation presented here is at a quality yet achieved only for a few eukaryotic organisms, and constitutes an important reference for future host-microbe interaction studies.

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The data shown below were collected from the profiles of 14 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 22%
Student > Ph. D. Student 12 18%
Other 7 10%
Student > Bachelor 6 9%
Student > Postgraduate 5 7%
Other 10 15%
Unknown 12 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 30%
Biochemistry, Genetics and Molecular Biology 19 28%
Computer Science 3 4%
Immunology and Microbiology 3 4%
Medicine and Dentistry 2 3%
Other 6 9%
Unknown 14 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 28 June 2018.
All research outputs
#2,028,189
of 25,489,496 outputs
Outputs from Nucleic Acids Research
#1,922
of 27,603 outputs
Outputs of similar age
#40,682
of 422,013 outputs
Outputs of similar age from Nucleic Acids Research
#24
of 231 outputs
Altmetric has tracked 25,489,496 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,603 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 93% 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 422,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 231 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.