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Titlebook: Comparative Genomics; RECOMB 2005 Internat Aoife McLysaght,Daniel H. Huson Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 20

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書目名稱Comparative Genomics
副標(biāo)題RECOMB 2005 Internat
編輯Aoife McLysaght,Daniel H. Huson
視頻videohttp://file.papertrans.cn/231/230912/230912.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Comparative Genomics; RECOMB 2005 Internat Aoife McLysaght,Daniel H. Huson Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 20
出版日期Conference proceedings 2005
關(guān)鍵詞algorithm; algorithms; calculus; comparative genomics; complexity; computational biology; computational ge
版次1
doihttps://doi.org/10.1007/11554714
isbn_softcover978-3-540-28932-6
isbn_ebook978-3-540-31814-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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書目名稱Comparative Genomics讀者反饋學(xué)科排名




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Maximizing Synteny Blocks to Identify Ancestral Homologs,cies with duplicated genes or when local alignment tools provide many ambiguous hits for the same gene. In this paper, we compare different measures of order conservation to select, among a gene family, the pair of copies in two genomes that best reflects the common ancestor. Specifically, we presen
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An Expectation-Maximization Algorithm for Analysis of Evolution of Exon-Intron Structure of Eukaryo, branch-specific gain and loss coefficients, invariant sites incapable of intron gain, and rate variability of both gain and loss which is gamma-distributed across sites. We develop an expectation-maximization algorithm to estimate the parameters of this model, and study its performance using simul
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The String Barcoding Problem is NP-Hard,o distinguish between all members of a set of given strings. In a computational biology context, the given strings represent a set of known viruses, while the substrings can be used as probes for an hybridization experiment via microarray. Eventually, one aims at the classification of new strings (u
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A Partial Solution to the C-Value Paradox,ibed, there have been no explicit statistical comparisons between measures of genome size and organism complexity. It is reported here that there are significant positive correlations between measures of genome size and complexity with measures of non-hierarchical morphological complexity in 139 pro
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