Computational Systems Bioinformatics

Computational Systems Bioinformatics

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This proceedings volume contains 29 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. The papers not only cover theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field. Contents: Voting Algorithms for the Motif Finding Problem (X-W Liu et al.)MSDash: Mass Spectrometry Database and Search (Z Wu et al.)GaborLocal: Peak Detection in Mass Spectrum by Gabor Filters and Gaussian Local Maxima (N Nguyen et al.)Designing Secondary Structure Profiles for Fast ncRNA Identification (Y Sun a J Buhler)Iterative Non-sequential Protein Structural Alignment (S Salem a M J Zaki)Consistent Alignment of Metabolic Pathways Without Abstraction (F Ay et al.)On the Accurate Construction of Consensus Genetic Maps (Y-H Wu et al.)Graph Wavelet Alignment Kernels for Drug Virtual Screening (A Smalter et al.)and other papers Readership: Graduate students, postdoctoral fellows, researchers, and practitioners in the field of bioinformatics and systems biology; biotech and pharmaceutical companies; computational scientists and engineers interested in biology. Keywords:Bioinformatics;Computational Systems Biology;Computational Techniques;Systems Biology ProblemsKey Features:The CSB meetings accept only the highest-quality research papers, with a paper-acceptance rate of below 20%The CSB meetings represent a unique bioinformatics conference in which papers blend bioinformatic tool development with in silico biologyCSB meetings have become one of the most well-attended bioinformatics conferencesCSB proceedings are indexed by MedlineBaseline correction is an important step before using Gabor filter to get the full frequency MS signals. The raw MS signal xraw includes some ... In this paper, we use a#39;msbackadja#39; function of MATLAB to remove baseline. The msbackadj function anbsp;...

Title:Computational Systems Bioinformatics
Author: Peter Markstein, Ying Xu
Publisher:World Scientific - 2008-08-01

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