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Improving eukaryotic genome annotation using single molecule mRNA sequencing

Overview of attention for article published in BMC Genomics, March 2018
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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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Title
Improving eukaryotic genome annotation using single molecule mRNA sequencing
Published in
BMC Genomics, March 2018
DOI 10.1186/s12864-018-4555-7
Pubmed ID
Authors

Vincent Magrini, Xin Gao, Bruce A. Rosa, Sean McGrath, Xu Zhang, Kymberlie Hallsworth-Pepin, John Martin, John Hawdon, Richard K. Wilson, Makedonka Mitreva

Abstract

The advantages of Pacific Biosciences (PacBio) single-molecule real-time (SMRT) technology include long reads, low systematic bias, and high consensus read accuracy. Here we use these attributes to improve on the genome annotation of the parasitic hookworm Ancylostoma ceylanicum using PacBio RNA-Seq. We sequenced 192,888 circular consensus sequences (CCS) derived from cDNAs generated using the CloneTech SMARTer system. These SMARTer-SMRT libraries were normalized and size-selected providing a robust population of expressed structural genes for subsequent genome annotation. We demonstrate PacBio mRNA sequences based genome annotation improvement, compared to genome annotation using conventional sequencing-by-synthesis alone, by identifying 1609 (9.2%) new genes, extended the length of 3965 (26.7%) genes and increased the total genomic exon length by 1.9 Mb (12.4%). Non-coding sequence representation (primarily from UTRs based on dT reverse transcription priming) was particularly improved, increasing in total length by fifteen-fold, by increasing both the length and number of UTR exons. In addition, the UTR data provided by these CCS allowed for the identification of a novel SL2 splice leader sequence for A. ceylanicum and an increase in the number and proportion of functionally annotated genes. RNA-seq data also confirmed some of the newly annotated genes and gene features. Overall, PacBio data has supported a significant improvement in gene annotation in this genome, and is an appealing alternative or complementary technique for genome annotation to the other transcript sequencing technologies.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 10 19%
Student > Master 7 13%
Professor > Associate Professor 4 8%
Student > Bachelor 4 8%
Other 4 8%
Unknown 10 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 42%
Biochemistry, Genetics and Molecular Biology 12 23%
Engineering 2 4%
Neuroscience 2 4%
Environmental Science 1 2%
Other 0 0%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 March 2018.
All research outputs
#4,072,811
of 25,307,660 outputs
Outputs from BMC Genomics
#1,433
of 11,217 outputs
Outputs of similar age
#73,354
of 337,410 outputs
Outputs of similar age from BMC Genomics
#25
of 188 outputs
Altmetric has tracked 25,307,660 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,217 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 87% 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 337,410 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 78% of its contemporaries.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.