Title |
An evaluation of the PacBio RS platform for sequencing and de novo assembly of a chloroplast genome
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Published in |
BMC Genomics, October 2013
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DOI | 10.1186/1471-2164-14-670 |
Pubmed ID | |
Authors |
Marco Ferrarini, Marco Moretto, Judson A Ward, Nada Šurbanovski, Vladimir Stevanović, Lara Giongo, Roberto Viola, Duccio Cavalieri, Riccardo Velasco, Alessandro Cestaro, Daniel J Sargent |
Abstract |
Second generation sequencing has permitted detailed sequence characterisation at the whole genome level of a growing number of non-model organisms, but the data produced have short read-lengths and biased genome coverage leading to fragmented genome assemblies. The PacBio RS long-read sequencing platform offers the promise of increased read length and unbiased genome coverage and thus the potential to produce genome sequence data of a finished quality containing fewer gaps and longer contigs. However, these advantages come at a much greater cost per nucleotide and with a perceived increase in error-rate. In this investigation, we evaluated the performance of the PacBio RS sequencing platform through the sequencing and de novo assembly of the Potentilla micrantha chloroplast genome. |
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United Kingdom | 3 | 14% |
Netherlands | 2 | 10% |
Sweden | 1 | 5% |
Canada | 1 | 5% |
Spain | 1 | 5% |
Mexico | 1 | 5% |
Italy | 1 | 5% |
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Demographic breakdown
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Members of the public | 8 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 4 | 1% |
Netherlands | 3 | <1% |
France | 2 | <1% |
United Kingdom | 2 | <1% |
China | 2 | <1% |
Canada | 2 | <1% |
New Zealand | 2 | <1% |
Brazil | 1 | <1% |
Other | 9 | 3% |
Unknown | 299 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 71 | 21% |
Student > Ph. D. Student | 67 | 20% |
Student > Master | 46 | 14% |
Student > Bachelor | 30 | 9% |
Professor > Associate Professor | 21 | 6% |
Other | 64 | 19% |
Unknown | 34 | 10% |
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Biochemistry, Genetics and Molecular Biology | 61 | 18% |
Computer Science | 19 | 6% |
Medicine and Dentistry | 9 | 3% |
Environmental Science | 6 | 2% |
Other | 24 | 7% |
Unknown | 43 | 13% |