Titlebook: Research in Computational Molecular Biology; 9th Annual Internati Satoru Miyano,Jill Mesirov,Michael Waterman Conference proceedings 2005 S

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0302-9743 2005), which was held in Cambridge, Massachusetts, on May 14–18, 2005. The RECOMB conference series was started in 1997 by Sorin Istrail, Pavel Pevzner and Michael Waterman. The list of previous meetings is shown below in the s- tion “Previous RECOMB Meetings. ” RECOMB 2005 was hosted by the Broad I

cognizant

Efficient Algorithms for Detecting Signaling Pathways in Protein Interaction Networkstensive task. Here we adapt and extend efficient techniques for finding paths in graphs to the problem of identifying pathways in protein interaction networks. We present linear-time algorithms for finding paths in networks under several biologically-motivated constraints. We apply our methodology t

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Towards an Integrated Protein-Protein Interaction Networkins in the cell is of great importance, and has been addressed both experimentally and computationally. Today, large scale experimental studies of interacting proteins, while partial and noisy, allow us to characterize properties of interacting proteins and develop predictive algorithms. Most existi

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Pairwise Local Alignment of Protein Interaction Networks Guided by Models of Evolutionular level, discovery of conserved patterns in these networks becomes an important problem. Recent algorithms on aligning PPI networks target simplified structures such as conserved pathways to render these problems computationally tractable. However, since conserved structures that are parts of fun

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演繹

Synovial-Fluid

A Regulatory Network Controlling Drosophila Developmentogram underlying the early development of the fruitfly, Drosophila melanogaster. The process of gastrulation is initiated by a sequence-specific transcription factor called Dorsal. The Dorsal protein is distributed in a broad concentration gradient across the dorsal-ventral axis of the early embryo,

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RIBRA–An Error-Tolerant Algorithm for the NMR Backbone Assignment Problemndependent set algorithms to solve the problem. To deal with noisy NMR spectral data, RIBRA is executed in an iterative fashion based on the quality of spectral peaks. We first produce spin system pairs using the spectral data without missing peaks, then the data group with one missing peak, and fin