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Titlebook: Research in Computational Molecular Biology; 10th Annual Internat Alberto Apostolico,Concettina Guerra,Michael Water Conference proceedings

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樓主: DUBIT
11#
發(fā)表于 2025-3-23 11:40:45 | 只看該作者
12#
發(fā)表于 2025-3-23 14:39:23 | 只看該作者
Global Interaction Networks Probed by Mass Spectrometry,ell building blocks. The next challenge resides in the understanding of how the “pieces” of this huge puzzle assemble, combine and contribute to the assembly of a coherent entity: a cell. Biology relies on the concerted action of a number of molecular interactions of gene products and metabolites op
13#
發(fā)表于 2025-3-23 19:03:21 | 只看該作者
Statistical Evaluation of Genome Rearrangement,r segment order of one genome to that of another are potentially meaningful measures of evolutionary divergence. The significance of a comparison between two genomes, however, depends on how it differs from the case where the order of the . segments constituting one genome is randomized with respect
14#
發(fā)表于 2025-3-23 23:24:04 | 只看該作者
An Improved Statistic for Detecting Over-Represented Gene Ontology Annotations in Gene Sets,m independently and hence ignores the structure of the GO hierarchy, our approach takes parent-child relationships into account. Over-representation of a term is measured with respect to the presence of its parental terms in the set. This resolves the problem that the standard approach tends to fals
15#
發(fā)表于 2025-3-24 03:37:11 | 只看該作者
16#
發(fā)表于 2025-3-24 07:28:39 | 只看該作者
Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data,roviding a means to control the relative amounts of mRNA transcripts and their protein products. Although much work has been done in the genome-wide computational prediction of miRNA genes and their target mRNAs, two open questions are how miRNAs regulate gene expression and how to efficiently detec
17#
發(fā)表于 2025-3-24 13:08:37 | 只看該作者
RNA Secondary Structure Prediction Via Energy Density Minimization,lies of non-coding RNAs with a variety of functions. The vast majority of the computational tools for RNA secondary structure prediction are based on free energy minimization. Here the goal is to compute a non-conflicting collection of structural elements such as hairpins, bulges and loops, whose to
18#
發(fā)表于 2025-3-24 16:56:08 | 只看該作者
19#
發(fā)表于 2025-3-24 19:32:23 | 只看該作者
Stan Ulam and Computational Biology,ta Fe by Eric Lander. While intended by the conference organizers to be a less technical and more casual lecture, it is difficult for a scientist not to speak about their own science and understandably that is just what has happened. In this year’s Ulam lecture I will attempt to give a sketch of the
20#
發(fā)表于 2025-3-25 02:00:58 | 只看該作者
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