By Ross Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz
This court cases offers contemporary useful purposes of Computational Biology and Bioinformatics. It comprises the lawsuits of the ninth overseas convention on
Practical functions of Computational Biology & Bioinformatics held at collage of Salamanca, Spain, at June 3rd-5th, 2015. The overseas convention on sensible purposes of Computational Biology & Bioinformatics (PACBB) is an annual overseas assembly devoted to rising and hard utilized study in Bioinformatics and Computational Biology. organic and biomedical examine are more and more pushed through experimental innovations that problem our skill to examine, method and extract significant wisdom from the underlying facts. The amazing features of subsequent new release sequencing applied sciences, including novel and ever evolving unique sorts of omics info applied sciences, have positioned an more and more complicated set of demanding situations for the becoming fields of Bioinformatics and Computational Biology. The research of the datasets produced and their integration demand new algorithms and ways from fields equivalent to Databases, statistics, facts Mining, laptop studying, Optimization, laptop technology and synthetic Intelligence. in actual fact, Biology is progressively more a technological know-how of knowledge requiring instruments from the computational sciences.
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Extra info for 9th International Conference on Practical Applications of Computational Biology and Bioinformatics
However, none addresses the multiplicity of existing techniques and data analysis tasks. Here, we propose a novel R package that provides a set of functions for metabolomics data analysis, including data loading in diﬀerent formats, pre-processing, univariate and multivariate data analysis, machine learning and feature selection. The package supports the analysis of data from the main experimental techniques, integrating a large set of functions from several R packages in a powerful, yet simple to use environment, promoting the rapid development and sharing of data analysis pipelines.
366, 56–69 (2008) UV-Visible Scanning Spectrophotometry and Chemometric Analysis as Tools to Build Descriptive and Classiﬁcation Models for Propolis from Southern Brazil Maíra M. Tomazzoli, Remi D. S. Zeggio, Leandro Specht, Christopher Costa, Miguel Rocha and Marcelo Maraschin Abstract Propolis is a chemically complex biomass produced by honeybees (Apis mellifera) from plant resins added of salivary enzymes, beeswax, and pollen. Recent studies classiﬁed Brazilian propolis into 12 groups based on physiochemical characteristics and different botanical origins.
3 Case Studies Three case studies using real data will be presented to test the package and provide meaningful data analysis pipelines. The ﬁrst is the analysis of metabolites concentrations of urine samples from control and cachexic cancer patients, the next is the discrimination of propolis samples from southern Brazil (using NMR and UV-vis data), and the last one is the analysis of the eﬀect of Postharvest Physiological Deterioration (PPD) of cassava samples (IR data). For one of the case studies, some selected results will be shown as a demonstration of some of the package’s capabilities.
9th International Conference on Practical Applications of Computational Biology and Bioinformatics by Ross Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz