charity 发表于 2025-3-21 17:31:46
书目名称Algorithms for Computational Biology影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0153208<br><br> <br><br>书目名称Algorithms for Computational Biology影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0153208<br><br> <br><br>书目名称Algorithms for Computational Biology网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0153208<br><br> <br><br>书目名称Algorithms for Computational Biology网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0153208<br><br> <br><br>书目名称Algorithms for Computational Biology被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0153208<br><br> <br><br>书目名称Algorithms for Computational Biology被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0153208<br><br> <br><br>书目名称Algorithms for Computational Biology年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0153208<br><br> <br><br>书目名称Algorithms for Computational Biology年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0153208<br><br> <br><br>书目名称Algorithms for Computational Biology读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0153208<br><br> <br><br>书目名称Algorithms for Computational Biology读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0153208<br><br> <br><br>矛盾心理 发表于 2025-3-21 21:46:32
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Gaps and Runs in Syntenic Alignmentstural roles, compensating for the energy and material costs of gene complement expansion..A type of gene loss widespread in the lineages of plant genomes is “fractionation” after whole genome doubling or tripling, where one of a pair or triplet of paralogous genes in parallel syntenic contexts is di溺爱 发表于 2025-3-22 16:29:33
Comparing Integer Linear Programming to SAT-Solving for Hard Problems in Computational and Systems Br, intricate algorithms for each specific problem. Integer Linear Programming is the most widely-used such general-purpose solution method. It is successful in a wide range of problems. However, there are some problems in computational biology where integer linear programming has had only limited subadinage 发表于 2025-3-22 17:59:35
Combining Networks Using Cherry Picking Sequencesnly reconstruct small networks. To find bigger networks, one can attempt to combine small networks. In this paper, we study the . problem, a problem of combining networks into another network with low complexity. We characterize this complexity via a restricted problem, ., and we present an FPT algo土坯 发表于 2025-3-22 22:44:15
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PathOGiST: A Novel Method for Clustering Pathogen Isolates by Combining Multiple Genotyping Signalsng methods for this problem mainly use a single genotyping signal, and either use a distance-based method with a pre-specified number of clusters, or a phylogenetic tree-based method with a pre-specified threshold. We propose PathOGiST, an algorithmic framework for clustering bacterial isolates by lfatty-streak 发表于 2025-3-23 08:05:20
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