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SpecialSession: Better Tools for Better Biology: Bioinformatics Software Advances

Better Tools for Better Biology: Bioinformatics Software Advances

Lorenzo MartiniLorenzo Martini
Elisabetta SciaccaElisabetta Sciacca
Antonio ColleseiAntonio Collesei
Simone PerniceSimone Pernice
Grete Francesca PriviteraGrete Francesca Privitera
Estevão Carlos Silva BarcelosEstevão Carlos Silva Barcelos

The national CINI (Consorzio Interuniversitario Nazionale di Informatica) InfoLife laboratory fosters collaboration among researchers with an informatics background engaged in bioinformatics and related fields, working in synergy with their international partners. Research activities span a wide range of bioinformatics domains, from the development of specialized algorithms and efficient data structures to high-level data analysis and innovative visualization techniques. This special session focuses on the development and application of computational tools for bioinformatics data analysis. We welcome contributions describing novel software tools as well as significant extensions or improvements of previously published resources. Tools may be implemented as software packages in a variety of programming languages (e.g., R, Python, MATLAB), as web-based applications (e.g., Shiny, Dash), or as databases. While example applications or use cases may be included to illustrate functionality, the primary evaluation criterion will be the technical and methodological contribution of the tool itself rather than the application. Submissions presenting extensions of existing tools should explicitly explain how the proposed work differs from and improves upon the original implementation, including a clear description of new features, or methodological changes. Emphasis will be placed on methodological innovation, usability, reproducibility, open-source and effective visualization of complex biological analysis. The central question that each contribution should address is: “Why should a user choose this tool over existing alternatives?”

Topics of interest include, but are not limited to:

Software packages, libraries and toolkits for bioinformatics analysis and visualizationWeb-based applications and interactive tools, including Shiny, Dash, and related frameworksDatabases, data portals, and data resources supporting biological data analysisAnalysis pipelines and computational workflows for reproducible bioinformaticsVisualization frameworks and platforms for high-dimensional and complex biological dataExtensions or substantial enhancements of previously published bioinformatics tools, with clearly articulated added value

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