摘要
Currently, k-mer counting is an important algorithm for bioinformatics research. This review lists the major application fields of k-mer counting in Bioinformatics at the beginning. Next, we introduce the commonly used memory-efficient strategy for k-mer counting tools, because the large amount of memory request is a bottleneck of k-mer counting tools. Next we illustrate the current parallel computing technologies for k-mer counting tool. Finally, we discuss the future study for k-mer counting.
源语言 | 英语 |
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主期刊名 | Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
编辑 | Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang |
出版商 | Institute of Electrical and Electronics Engineers Inc. |
页 | 2561-2567 |
页数 | 7 |
ISBN(电子版) | 9781538654880 |
DOI | |
出版状态 | 已出版 - 21 1月 2019 |
活动 | 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, 西班牙 期限: 3 12月 2018 → 6 12月 2018 |
出版系列
姓名 | Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
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会议
会议 | 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
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国家/地区 | 西班牙 |
市 | Madrid |
时期 | 3/12/18 → 6/12/18 |
指纹
探究 'K-mer Counting: Memory-efficient strategy, parallel computing and field of application for Bioinformatics' 的科研主题。它们共同构成独一无二的指纹。引用此
Xiao, M., Li, J., Hong, S., Yang, Y., Li, J., Wang, J., Yang, J., Ding, W., & Zhang, L. (2019). K-mer Counting: Memory-efficient strategy, parallel computing and field of application for Bioinformatics. 在 H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, & L. Zhang (编辑), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (页码 2561-2567). 文章 8621325 (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2018.8621325