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Cited by 507

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Assemblathon 1: A competitive assessment of de novo short read assembly methods

Open access
Earl, Dent, Bradnam, Keith, St. John, John, Darling, Aaron, Lin, Dawei, Fass, Joseph, Yu, Hung On Ken, Buffalo, Vince, Zerbino, Daniel R., Diekhans, Mark, Nguyen, Ngan, Ariyaratne, Pramila Nuwantha, Sung, Wing-Kin, Ning, Zemin, Haimel, Matthias, Simpson, Jared T., Fonseca, Nuno A., Birol, İnanç, Docking, T. Roderick, Ho, Isaac Y., Rokhsar, Daniel S., Chikhi, Rayan, Lavenier, Dominique, Chapuis, Guillaume, Naquin, Delphine, Maillet, Nicolas, Schatz, Michael C., Kelley, David R., Phillippy, Adam M., Koren, Sergey, Yang, Shiaw-Pyng, Wu, Wei, Chou, Wen-Chi, Srivastava, Anuj, Shaw, Timothy I., Ruby, J. Graham, Skewes-Cox, Peter, Betegon, Miguel, Dimon, Michelle T., Solovyev, Victor, Seledtsov, Igor, Kosarev, Petr, Vorobyev, Denis, Ramirez-Gonzalez, Ricardo, Leggett, Richard, MacLean, Dan, Xia, Fangfang, Luo, Ruibang, Li, Zhenyu, Xie, Yinlong, Liu, Binghang, Gnerre, Sante, MacCallum, Iain, Przybylski, Dariusz, Ribeiro, Filipe J., Yin, Shuangye, Sharpe, Ted, Hall, Giles, Kersey, Paul J., Durbin, Richard, Jackman, Shaun D., Chapman, Jarrod A., Huang, Xiaoqiu, DeRisi, Joseph L., Caccamo, Mario, Li, Yingrui, Jaffe, David B., Green, Richard E., Haussler, David, Korf, Ian, Paten, Benedict·2011·Genome Research

Abstract

Low-cost short read sequencing technology has revolutionized genomics, though it is only just becoming practical for the high-quality de novo assembly of a novel large genome. We describe the Assemblathon 1 competition, which aimed to comprehensively assess the state of the art in de novo assembly methods when applied to current sequencing technologies. In a collaborative effort, teams were asked to assemble a simulated Illumina HiSeq data set of an unknown, simulated diploid genome. A total of 41 assemblies from 17 different groups were received. Novel haplotype aware assessments of coverage, contiguity, structure, base calling, and copy number were made. We establish that within this benchmark: (1) It is possible to assemble the genome to a high level of coverage and accuracy, and that (2) large differences exist between the assemblies, suggesting room for further improvements in current methods. The simulated benchmark, including the correct answer, the assemblies, and the code that was used to evaluate the assemblies is now public and freely available from http://www.assemblathon.org/ .

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Authors
Earl, D., Bradnam, K., St. John, J., Darling, A., Lin, D., Fass, J., Yu, H. O. K., Buffalo, V., Zerbino, D. R., Diekhans, M., Nguyen, N., Ariyaratne, P. N., Sung, W.-K., Ning, Z., Haimel, M., Simpson, J. T., Fonseca, N. A., Birol, İ., Docking, T. R., Ho, I. Y., Rokhsar, D. S., Chikhi, R., Lavenier, D., Chapuis, G., Naquin, D., Maillet, N., Schatz, M. C., Kelley, D. R., Phillippy, A. M., Koren, S., Yang, S.-P., Wu, W., Chou, W.-C., Srivastava, A., Shaw, T. I., Ruby, J. G., Skewes-Cox, P., Betegon, M., Dimon, M. T., Solovyev, V., Seledtsov, I., Kosarev, P., Vorobyev, D., Ramirez-Gonzalez, R., Leggett, R., MacLean, D., Xia, F., Luo, R., Li, Z., Xie, Y., Liu, B., Gnerre, S., MacCallum, I., Przybylski, D., Ribeiro, F. J., Yin, S., Sharpe, T., Hall, G., Kersey, P. J., Durbin, R., Jackman, S. D., Chapman, J. A., Huang, X., DeRisi, J. L., Caccamo, M., Li, Y., Jaffe, D. B., Green, R. E., Haussler, D., Korf, I., & Paten, B.
Venue
Genome Research
Published
2011-09-16
Volume
21
Issue
12
Pages
2224-2241
ISSN
1088-9051 (ISSN-L)
OpenAlex
W2135361281
Cited by
507
References
12
Type
posted content
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Assemblathon 1: A competitive assessment of de novo short read assembly methods. https://app.cochat.ai/papers/10.1101/gr.126599.111
The paper
Earl, D., Bradnam, K., St. John, J., Darling, A., Lin, D., Fass, J., Yu, H. O. K., Buffalo, V., Zerbino, D. R., Diekhans, M., Nguyen, N., Ariyaratne, P. N., Sung, W.-K., Ning, Z., Haimel, M., Simpson, J. T., Fonseca, N. A., Birol, İ., Docking, T. R., . . . Paten, B. (2011). Assemblathon 1: A competitive assessment of de novo short read assembly methods. Genome Research. https://doi.org/10.1101/gr.126599.111

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