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Lorena Pantano is a Research Scientist in the Department of Biostatistics. She graduated with a BSc in Biochemistry and extended her career in Bioinformatics during her MSc and Ph.D. thesis. Her interests are the application of statistical and mathematical models to large-scale data, mainly (small) RNA-Seq data. She likes to think of new visualization concepts to improve the interpretation of complex data providing a dynamic user-data interaction. She is involved in the development/maintenance of seqbuster, seqcluster, and mirtop, tools for the analysis of small RNA seq data that integrates Java, Python and R modules. You can find her on Twitter.

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