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An efficient approach to BAC based assembly of complex genomes

Overview of attention for article published in Plant Methods, January 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
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Title
An efficient approach to BAC based assembly of complex genomes
Published in
Plant Methods, January 2016
DOI 10.1186/s13007-016-0107-9
Pubmed ID
Authors

Paul Visendi, Paul J. Berkman, Satomi Hayashi, Agnieszka A. Golicz, Philipp E. Bayer, Pradeep Ruperao, Bhavna Hurgobin, Juan Montenegro, Chon-Kit Kenneth Chan, Helena Staňková, Jacqueline Batley, Hana Šimková, Jaroslav Doležel, David Edwards

Abstract

There has been an exponential growth in the number of genome sequencing projects since the introduction of next generation DNA sequencing technologies. Genome projects have increasingly involved assembly of whole genome data which produces inferior assemblies compared to traditional Sanger sequencing of genomic fragments cloned into bacterial artificial chromosomes (BACs). While whole genome shotgun sequencing using next generation sequencing (NGS) is relatively fast and inexpensive, this method is extremely challenging for highly complex genomes, where polyploidy or high repeat content confounds accurate assembly, or where a highly accurate 'gold' reference is required. Several attempts have been made to improve genome sequencing approaches by incorporating NGS methods, to variable success. We present the application of a novel BAC sequencing approach which combines indexed pools of BACs, Illumina paired read sequencing, a sequence assembler specifically designed for complex BAC assembly, and a custom bioinformatics pipeline. We demonstrate this method by sequencing and assembling BAC cloned fragments from bread wheat and sugarcane genomes. We demonstrate that our assembly approach is accurate, robust, cost effective and scalable, with applications for complete genome sequencing in large and complex genomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
United States 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 32%
Student > Ph. D. Student 7 16%
Student > Bachelor 4 9%
Student > Master 4 9%
Student > Postgraduate 3 7%
Other 6 14%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 57%
Biochemistry, Genetics and Molecular Biology 7 16%
Immunology and Microbiology 1 2%
Chemistry 1 2%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 March 2016.
All research outputs
#13,661,887
of 23,577,654 outputs
Outputs from Plant Methods
#634
of 1,120 outputs
Outputs of similar age
#189,198
of 397,980 outputs
Outputs of similar age from Plant Methods
#15
of 22 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,120 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 42nd percentile – i.e., 42% 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 397,980 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.