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Titlebook: Research in Computational Molecular Biology; 17th Annual Internat Minghua Deng,Rui Jiang,Xuegong Zhang Conference proceedings 2013 Springer

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發(fā)表于 2025-3-21 20:09:08 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Research in Computational Molecular Biology
副標題17th Annual Internat
編輯Minghua Deng,Rui Jiang,Xuegong Zhang
視頻videohttp://file.papertrans.cn/828/827958/827958.mp4
概述Up to date results.Fast track conference proceedings.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Research in Computational Molecular Biology; 17th Annual Internat Minghua Deng,Rui Jiang,Xuegong Zhang Conference proceedings 2013 Springer
描述This book constitutes the refereed proceedings of the 17th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2013, held in Beijing, China, in April 2013. The 32 revised full papers were carefully reviewed and selected from 167 submissions. The papers cover a wide range of topics including molecular sequence analysis; genes and regulatory elements; molecular evolution; gene expression; biological networks; sequencing and genotyping technologies; genomics; epigenomics; metagenomics; population, statistical genetics; systems biology; computational proteomics; computational structural biology; imaging; large-scale data management.
出版日期Conference proceedings 2013
關(guān)鍵詞DNA sequencing; RNA; machine learning; pattern matching; unphased genotypes; algorithm analysis and probl
版次1
doihttps://doi.org/10.1007/978-3-642-37195-0
isbn_softcover978-3-642-37194-3
isbn_ebook978-3-642-37195-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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發(fā)表于 2025-3-21 22:07:10 | 只看該作者
Research in Computational Molecular Biology978-3-642-37195-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
板凳
發(fā)表于 2025-3-22 01:55:31 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/r/image/827958.jpg
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發(fā)表于 2025-3-22 11:07:06 | 只看該作者
An Optimal Algorithm for Building the Majority Rule Consensus Tree,abels is presented. Its worst-case running time is .(..), where .?is the size of the leaf label set and .?is the number of input phylogenetic trees. This is optimal since the input size is Ω(..). Experimental results show that the algorithm is fast in practice.
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發(fā)表于 2025-3-22 15:58:33 | 只看該作者
Minghua Deng,Rui Jiang,Xuegong ZhangUp to date results.Fast track conference proceedings.State of the art research
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發(fā)表于 2025-3-22 19:43:55 | 只看該作者
Conference proceedings 2013, held in Beijing, China, in April 2013. The 32 revised full papers were carefully reviewed and selected from 167 submissions. The papers cover a wide range of topics including molecular sequence analysis; genes and regulatory elements; molecular evolution; gene expression; biological networks; sequ
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SEME: A Fast Mapper of Illumina Sequencing Reads with Statistical Evaluation,the sequencing reads of the Illumina platform get longer and their quality scores get higher. According to our calculation, this allows perfect .-mer seed match for almost all reads when a close reference genome is available subject to reasonable specificity. Our another observation is that the majo
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