Titlebook: Bioinformatics Research and Applications; 9th International Sy Zhipeng Cai,Oliver Eulenstein,Daniel Schwartz Conference proceedings 2013 Sp

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書目名稱Bioinformatics Research and Applications影響因子(影響力)




書目名稱Bioinformatics Research and Applications影響因子(影響力)學(xué)科排名




書目名稱Bioinformatics Research and Applications網(wǎng)絡(luò)公開(kāi)度




書目名稱Bioinformatics Research and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Bioinformatics Research and Applications被引頻次




書目名稱Bioinformatics Research and Applications被引頻次學(xué)科排名




書目名稱Bioinformatics Research and Applications年度引用




書目名稱Bioinformatics Research and Applications年度引用學(xué)科排名




書目名稱Bioinformatics Research and Applications讀者反饋




書目名稱Bioinformatics Research and Applications讀者反饋學(xué)科排名

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,Unusual RNA Structures: Information Content in RNAs from the “Prebiotic Ribosome” to Modern Virusesusual RNA structures and interactions in a previously unexpected catalytic activity: RNA is capable of catalyzing coupled oxidation-reduction reactions, a key requirement for any system of prebiotic molecules with the capacity for metabolism and replication..Many small icosahedral RNA viruses assemb

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行為

Heuristic Algorithms for the Protein Model Assignment Problem,s with better log likelihood scores on a fixed, reasonable tree topology than the na?ve approach to the PMA, which ignores the fact that branch lengths are linked across partitions. By re-analyzing a large empirical dataset, we show that phylogenies inferred under a PMA calculated by our heuristics

設(shè)施

Spinal-Tap

A Context-Driven Gene Prioritization Method for Web-Based Functional Genomics,ng the landscape of biological data. We have devised a suitable metric for this analysis which, unlike most similar methods requires no user-defined input parameters. We have demonstrated improved gene prioritization relative to existing metrics and commonly used software systems for gene prioritiza

Excitotoxin

Ideas, Language and Skepticism,at significantly improved Mascot in terms of both accuracy and sensitivity. In the first part of the talk, the peptide identification problem will be introduced, and the history briefly reviewed. In the second part of the talk, some practical concerns for using the bioinformatics tools in a proteomi

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