the proceedings contain 26 papers. the special focus in this conference is on Practical Applications of Computational Biology and Bioinformatics. the topics include: A bioinformatics protocol for quickly creating larg...
ISBN:
(纸本)9783319987019
the proceedings contain 26 papers. the special focus in this conference is on Practical Applications of Computational Biology and Bioinformatics. the topics include: A bioinformatics protocol for quickly creating large-scale phylogenetic trees;Deep learning analysis of binding behavior of virus displayed peptides to AuNPs;compression of amino acid sequences;NET-ASAR: A tool for dna sequence search based on data compression;Can an integrative SNP approach substitute standard identification in comprehensive case/control analyses?;simple pattern-only heuristics lead to fast subgraph matching strategies on very large networks;in silico predictions for fucoxanthin production by the diatom phaeodactylum tricornutum;EvoPPI: A web application to compare protein-protein interactions (PPIs) from different databases and species;a review on metabolomics data analysis for cancer applications;parameter estimation of essential amino acids in Arabidopsis thaliana using hybrid of bees algorithm and harmony search;a framework for the automatic combination and evaluation of gene selection methods;parallel cellular automaton tumor growth model;MOSCA: An automated pipeline for integrated metagenomics and metatranscriptomics data analysis;metabolite integration pipeline for the improvement of human metabolic models;a genetic programming approach applied to feature selection from medical data;A dna sequence corpus for compression benchmark;17α-ethinylestradiol analysis of endo- and exometabolome of ulva lactuca (chlorophyta) by 1H-NMR spectroscopy and bioinformatics tools;in silico modeling and simulation approach for apoptosis caspase pathways;molecular dynamic simulations suggest that P152R mutation within MeCP2 can lead to higher dna binding affinity and loss of selective binding to methylated dna.
Polynomial time dynamic programming algorithms play a crucial role in the design, analysis and engineering of nucleic acid systems including dna computers and dna/RNA nanostructures. However, in complex multistranded ...
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Minimum flow decomposition (MFD)—the problem of finding a minimum set of paths that perfectly decomposes a flow—is a classical problem in Computer Science, and variants of it are powerful models in multiassembly pro...
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