Title |
Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategies
|
---|---|
Published in |
Genome Biology, March 2014
|
DOI | 10.1186/gb-2014-15-3-r59 |
Pubmed ID | |
Authors |
David B Neale, Jill L Wegrzyn, Kristian A Stevens, Aleksey V Zimin, Daniela Puiu, Marc W Crepeau, Charis Cardeno, Maxim Koriabine, Ann E Holtz-Morris, John D Liechty, Pedro J Martínez-García, Hans A Vasquez-Gross, Brian Y Lin, Jacob J Zieve, William M Dougherty, Sara Fuentes-Soriano, Le-Shin Wu, Don Gilbert, Guillaume Marçais, Michael Roberts, Carson Holt, Mark Yandell, John M Davis, Katherine E Smith, Jeffrey FD Dean, W Walter Lorenz, Ross W Whetten, Ronald Sederoff, Nicholas Wheeler, Patrick E McGuire, Doreen Main, Carol A Loopstra, Keithanne Mockaitis, Pieter J deJong, James A Yorke, Steven L Salzberg, Charles H Langley |
Abstract |
The size and complexity of conifer genomes has, until now, prevented full genome sequencing and assembly. The large research community and economic importance of loblolly pine, Pinus taeda L., made it an early candidate for reference sequence determination. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 61 | 27% |
United Kingdom | 31 | 14% |
Canada | 8 | 4% |
France | 8 | 4% |
Germany | 7 | 3% |
Spain | 6 | 3% |
Switzerland | 3 | 1% |
Australia | 3 | 1% |
Belgium | 3 | 1% |
Other | 28 | 12% |
Unknown | 69 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 130 | 57% |
Scientists | 78 | 34% |
Science communicators (journalists, bloggers, editors) | 13 | 6% |
Practitioners (doctors, other healthcare professionals) | 6 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 3% |
France | 4 | <1% |
Spain | 4 | <1% |
Canada | 4 | <1% |
Norway | 3 | <1% |
Germany | 3 | <1% |
Switzerland | 2 | <1% |
Belgium | 2 | <1% |
Chile | 1 | <1% |
Other | 13 | 3% |
Unknown | 389 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 107 | 24% |
Researcher | 106 | 24% |
Student > Master | 39 | 9% |
Professor > Associate Professor | 26 | 6% |
Other | 23 | 5% |
Other | 85 | 19% |
Unknown | 54 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 255 | 58% |
Biochemistry, Genetics and Molecular Biology | 81 | 18% |
Computer Science | 11 | 3% |
Environmental Science | 6 | 1% |
Earth and Planetary Sciences | 2 | <1% |
Other | 14 | 3% |
Unknown | 71 | 16% |