Titlebook: Algorithms for Computational Biology; 8th International Co Carlos Martín-Vide,Miguel A. Vega-Rodríguez,Travis Conference proceedings 2021 S

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书目名称Algorithms for Computational Biology影响因子(影响力)学科排名




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书目名称Algorithms for Computational Biology网络公开度学科排名




书目名称Algorithms for Computational Biology被引频次




书目名称Algorithms for Computational Biology被引频次学科排名




书目名称Algorithms for Computational Biology年度引用




书目名称Algorithms for Computational Biology年度引用学科排名




书目名称Algorithms for Computational Biology读者反馈




书目名称Algorithms for Computational Biology读者反馈学科排名

琐事

https://doi.org/10.1007/978-3-642-94998-2ikelihood recovery algorithm under the probabilistic framework. Our findings highlight the implications of introducing randomness to the infection vectors – we find that the combinatorial structure of the pooling designs plays a less important role than the parameters such as pool size and redundanc

Monolithic

https://doi.org/10.1007/978-3-642-86168-0ual despite their different formulations. We also show that computing these three equivalent distances is NP-hard, even when restricted to comparing a tree and a network. On the positive side, we show that they can be computed in quadratic time on two trees, providing a new comparative measure for p

Morphine

,Gesamtstoffwechsel und Ernährung, region size is a range of acceptable values. We consider the well-known reversals distance and present a 2-approximation algorithm, alongside NP-hardness proof. Our results rely on the Flexible Weighted Cycle Graph, adapted from the breakpoint graph to deal with flexible intergenic regions sizes.

Mettle

antidote

K. Lohmann,P. Ohlmeyer,Z. Starycally designed for MWT-AM. We show that the best of these variants, which we refer to as GCM-MWT, perform well for the MWT-AM criterion. We explore GCM-MWT in comparison to other methods for merging alignments, T-coffee and MAFFT–merge, and find that GCM-MWT produces more accurate merged alignments.

外来

Can We Replace Reads by Numeric Signatures? Lyndon Fingerprints as Representations of Sequencing Reaess of this representation for machine learning algorithms for classifying biological sequences. In particular, we considered the problem of assigning RNA-Seq reads to the most likely gene from which they were generated. Our results show that fingerprints can provide an effective machine learning in

originality

A Recovery Algorithm and Pooling Designs for One-Stage Noisy Group Testing Under the Probabilistic Fikelihood recovery algorithm under the probabilistic framework. Our findings highlight the implications of introducing randomness to the infection vectors – we find that the combinatorial structure of the pooling designs plays a less important role than the parameters such as pool size and redundanc

吃掉

Novel Phylogenetic Network Distances Based on Cherry Pickingual despite their different formulations. We also show that computing these three equivalent distances is NP-hard, even when restricted to comparing a tree and a network. On the positive side, we show that they can be computed in quadratic time on two trees, providing a new comparative measure for p

真

Reversals Distance Considering Flexible Intergenic Regions Sizes region size is a range of acceptable values. We consider the well-known reversals distance and present a 2-approximation algorithm, alongside NP-hardness proof. Our results rely on the Flexible Weighted Cycle Graph, adapted from the breakpoint graph to deal with flexible intergenic regions sizes.