Title |
Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species
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Published in |
Giga Science, July 2013
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DOI | 10.1186/2047-217x-2-10 |
Pubmed ID | |
Authors |
Keith R Bradnam, Joseph N Fass, Anton Alexandrov, Paul Baranay, Michael Bechner, Inanç Birol, Sébastien Boisvert, Jarrod A Chapman, Guillaume Chapuis, Rayan Chikhi, Hamidreza Chitsaz, Wen-Chi Chou, Jacques Corbeil, Cristian Del Fabbro, T Roderick Docking, Richard Durbin, Dent Earl, Scott Emrich, Pavel Fedotov, Nuno A Fonseca, Ganeshkumar Ganapathy, Richard A Gibbs, Sante Gnerre, Élénie Godzaridis, Steve Goldstein, Matthias Haimel, Giles Hall, David Haussler, Joseph B Hiatt, Isaac Y Ho, Jason Howard, Martin Hunt, Shaun D Jackman, David B Jaffe, Erich D Jarvis, Huaiyang Jiang, Sergey Kazakov, Paul J Kersey, Jacob O Kitzman, James R Knight, Sergey Koren, Tak-Wah Lam, Dominique Lavenier, François Laviolette, Yingrui Li, Zhenyu Li, Binghang Liu, Yue Liu, Ruibang Luo, Iain MacCallum, Matthew D MacManes, Nicolas Maillet, Sergey Melnikov, Delphine Naquin, Zemin Ning, Thomas D Otto, Benedict Paten, Octávio S Paulo, Adam M Phillippy, Francisco Pina-Martins, Michael Place, Dariusz Przybylski, Xiang Qin, Carson Qu, Filipe J Ribeiro, Stephen Richards, Daniel S Rokhsar, J Graham Ruby, Simone Scalabrin, Michael C Schatz, David C Schwartz, Alexey Sergushichev, Ted Sharpe, Timothy I Shaw, Jay Shendure, Yujian Shi, Jared T Simpson, Henry Song, Fedor Tsarev, Francesco Vezzi, Riccardo Vicedomini, Bruno M Vieira, Jun Wang, Kim C Worley, Shuangye Yin, Siu-Ming Yiu, Jianying Yuan, Guojie Zhang, Hao Zhang, Shiguo Zhou, Ian F Korf |
Abstract |
The process of generating raw genome sequence data continues to become cheaper, faster, and more accurate. However, assembly of such data into high-quality, finished genome sequences remains challenging. Many genome assembly tools are available, but they differ greatly in terms of their performance (speed, scalability, hardware requirements, acceptance of newer read technologies) and in their final output (composition of assembled sequence). More importantly, it remains largely unclear how to best assess the quality of assembled genome sequences. The Assemblathon competitions are intended to assess current state-of-the-art methods in genome assembly. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 20 | 21% |
United Kingdom | 16 | 16% |
Canada | 4 | 4% |
Italy | 3 | 3% |
Japan | 3 | 3% |
France | 3 | 3% |
Sweden | 3 | 3% |
Germany | 3 | 3% |
New Zealand | 2 | 2% |
Other | 10 | 10% |
Unknown | 30 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 49 | 51% |
Scientists | 42 | 43% |
Science communicators (journalists, bloggers, editors) | 4 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Unknown | 1 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 45 | 3% |
United Kingdom | 11 | <1% |
Germany | 10 | <1% |
Brazil | 10 | <1% |
Spain | 7 | <1% |
Sweden | 6 | <1% |
Norway | 4 | <1% |
Netherlands | 4 | <1% |
Canada | 4 | <1% |
Other | 38 | 3% |
Unknown | 1158 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 332 | 26% |
Researcher | 260 | 20% |
Student > Master | 190 | 15% |
Student > Bachelor | 117 | 9% |
Professor > Associate Professor | 72 | 6% |
Other | 223 | 17% |
Unknown | 103 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 706 | 54% |
Biochemistry, Genetics and Molecular Biology | 246 | 19% |
Computer Science | 115 | 9% |
Immunology and Microbiology | 18 | 1% |
Medicine and Dentistry | 15 | 1% |
Other | 70 | 5% |
Unknown | 127 | 10% |