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Titlebook: Algorithms for Computational Biology; 6th International Co Ian Holmes,Carlos Martín-Vide,Miguel A. Vega-Rodrí Conference proceedings 2019 S

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發(fā)表于 2025-3-21 16:11:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Algorithms for Computational Biology
期刊簡(jiǎn)稱6th International Co
影響因子2023Ian Holmes,Carlos Martín-Vide,Miguel A. Vega-Rodrí
視頻videohttp://file.papertrans.cn/154/153211/153211.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Algorithms for Computational Biology; 6th International Co Ian Holmes,Carlos Martín-Vide,Miguel A. Vega-Rodrí Conference proceedings 2019 S
影響因子.This book constitutes the proceedings of the 6th InternationalConference on Algorithms for Computational Biology, AlCoB 2019, held in Berkeley, CA, USA, in May 2019...The 15 full papers presented together with 1 invited paper were carefully reviewed and selected from 30 submissions. They are organized in the following topical sections: Biological networks and graph algorithms; genome rearrangement, assembly and classification; sequence analysis, phylogenetics and other biological processes..
Pindex Conference proceedings 2019
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Graph-Theoretic Partitioning of RNAs and Classification of Pseudoknotshm was introduced to partition dual graphs into maximal topological components called blocks and determine whether each block contains a pseudoknot or not. This characterization allowed us to efficiently isolate smaller RNA fragments and classify them as pseudoknotted or pseudoknot-free regions, whi
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A Uniform Theory of Adequate Subgraphs for the Genome Median, Halving, and Aliquoting Problems. Since most dramatic changes in genomic architectures are caused by genome rearrangements, this problem is often posed as minimization of the number of genome rearrangements between extant and ancestral genomes. The basic case of three given genomes is known as the .. Whole genome duplications (WGD
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Lightweight Metagenomic Classification via eBWTenomics, whose aim is to identify the microorganisms that are present in a sample collected directly from the environment. In this paper, we describe a new lightweight alignment-free and assembly-free framework for metagenomic classification that compares each unknown sequence in the sample to a col
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Counting Sorting Scenarios and Intermediate Genomes for the Rank Distances one genome into another whose length (possibly weighted) equals the distance between them. These sequences are called optimal sorting scenarios. However, there is usually a large number of such scenarios, and a na?ve algorithm is very likely to be biased towards a specific type of scenario, impair
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