Institution: I2SYSBIO
Research Groups: Genomics of Gene Expression
Position: PhD student
Contact email: fjetzinger@biobam.com
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Research topics: Computational Methods, Applications of Computational Biology, Model organisms, Functional genomics, Function prediction, Functional annotation, Pathway analysis, Data Analysis, Artificial Intelligence, Deep Learning in Biology, Large language models, Machine Learning in Biology, Omics, Genomics, Genomic Annotation, Transcriptomics, RNA Sequencing (RNA-seq), Resources, Bioinformatics enabling techniques, Benchmarking, Bioinformatics education, FAIRfication, Standards in Computational Biology, Bioinformatics Software and Tools, Analysis packages (R, Python, etc.), Annotation tools, Desktop application, Computational Techniques, Cloud Computing
Biography: I am an industrial PhD student at BioBam Bioinformatics S.L. in Valencia and cooperate heavily with the Genomics of Gene Expression Lab at I2SysBio.
My research interests are mainly in the bioinformatic analysis of long-read RNA sequencing data, particularly making such analyses more user-friendly and therefore accessible to researchers without extensive computational skills. My current work focuses on the evaluation of transcriptome reconstruction tools for lrRNA-seq data, but we also plan to make use of my background in Data Science to explore the landscape of deep learning-based methods for functional annotation of RNA and protein sequences.
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Collaborating Companies: BioBam Bioinformatics S.L.