Final report detailed description - NET Station: shaping radio for web environment

In more scientific terms, NET Station contributed to: - discuss in theoretical terms the role radio still play in contemporary societies; - examine how audiences are using sound resources on the Web; - draw up a new theoretical framework for the study of the reconfiguration of radio language on the Internet;acknowledge that people are not abandoning radio as a medium; the survey applied by the team demonstrated that there is a complementariness between traditional radio and radio on the Internet; - understand that people expect more interactivity, more opportunities to participate in content production and more diversity of contents. These results were shared with editors responsible for Portuguese radio and might influence the offer made available by these radio corporations from now on; - demonstrate that the Internet is underexplored in terms of sound and acoustic communication; - promote the production of new sound narratives to be available on the Internet;

An R package for the integrated analysis of metabolomics and spectral data

Recently, there has been a growing interest in the field of metabolomics, materialized by a remarkable growth in experimental techniques, available data and related biological applications. Indeed, techniques as Nuclear Magnetic Resonance, Gas or Liquid Chromatography, Mass Spectrometry, Infrared and UV-visible spectroscopies have provided extensive datasets that can help in tasks as biological and biomedical discovery, biotechnology and drug development. However, as it happens with other omics data, the analysis of metabolomics datasets provides multiple challenges, both in terms of methodologies and in the development of appropriate computational tools. Indeed, from the available software tools, none addresses the multiplicity of existing techniques and data analysis tasks. In this work, we make available a novel R package, named specmine, which provides a set of methods for metabolomics data analysis, including data loading in different formats, pre-processing, metabolite identification, univariate and multivariate data analysis, machine learning, and feature selection. Importantly, the implemented methods provide adequate support for the analysis of data from diverse experimental techniques, integrating a large set of functions from several R packages in a powerful, yet simple to use environment. The package, already available in CRAN, is accompanied by a web site where users can deposit datasets, scripts and analysis reports to be shared with the community, promoting the efficient sharing of metabolomics data analysis pipelines.

BIOMedical search engine framework: lightweight and customized implementation of domain-specific biomedical search engines

The Smart Drug Search is publicly accessible at http://sing.ei.uvigo.es/sds/. The BIOMedical Search Engine Framework is freely available for non-commercial use at https://github.com/agjacome/biomsef