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Institution: IN
Research Groups: Development, Wiring and Function of Cerebellar Circuits
Position: Postdoctoral researcher
Contact email: aarzalluz@umh.es
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Research topics: Computational Methods, Applications of Computational Biology, Development, Omics, Single-cell omics, Transcriptomics, RNA Sequencing (RNA-seq), Single-cell (scRNA-seq), Bioinformatics Software and Tools, Analysis packages (R, Python, etc.)
Biography: Having a strong Molecular Biology background, I obtained a PhD in Bioinformatics in 2024, particularly applying single-cell RNAseq and long-read sequencing to the study of alternative isoforms. My research comprised the development of novel computational methods to alternative isoform expression. I am currently working as a bioinformatics post-doctoral researcher at the Instituto de Neurociencias de Alicante, unraveling the transcriptomic mechanisms of cerebellar development and long-range neural connectivity in mouse.
Publications
Pardo-Palacios, F. J., Arzalluz-Luque, A., Kondratova, L., Salguero, P., Mestre-Tomás, J., Amorín, R., Estevan-Morió, E., Liu, T., Nanni, A., McIntyre, L., Tseng, E., & Conesa, A. (2023). SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms. https://doi.org/10.1101/2023.05.17.541248
Arzalluz-Luque, Á., Cabrera, J. L., Skottman, H., Benguria, A., Bolinches-Amorós, A., Cuenca, N., Lupo, V., Dopazo, A., Tarazona, S., Delás, B., Carballo, M., Pascual, B., Hernan, I., Erceg, S., & Lukovic, D. (2021). Mutant PRPF8 Causes Widespread Splicing Changes in Spliceosome Components in Retinitis Pigmentosa Patient iPSC-Derived RPE Cells. Frontiers in Neuroscience, 15. https://doi.org/10.3389/fnins.2021.636969
de la Fuente, L., Arzalluz-Luque, Á., Tardáguila, M., del Risco, H., Martí, C., Tarazona, S., Salguero, P., Scott, R., Lerma, A., Alastrue-Agudo, A., Bonilla, P., Newman, J. R. B., Kosugi, S., McIntyre, L. M., Moreno-Manzano, V., & Conesa, A. (2020). tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing. Genome Biology, 21(1). https://doi.org/10.1186/s13059-020-02028-w
Arzalluz-Luque, A., Devailly, G., & Joshi, A. (2018). scFeatureFilter: Correlation-Based Feature Filtering for Single-Cell RNAseq. Bioinformatics and Biomedical Engineering, 364–370. https://doi.org/10.1007/978-3-319-78723-7_31
Monzó, C., Aguerralde-Martin, M., Martínez-Mira, C., Arzalluz-Luque, Á., Conesa, A., & Tarazona, S. (2018). MOSim: bulk and single-cell multi-layer regulatory network simulator. https://doi.org/10.1101/421834
Arzalluz-Luque, Á., Devailly, G., Mantsoki, A., & Joshi, A. (2017). Delineating biological and technical variance in single cell expression data. The International Journal of Biochemistry & Cell Biology, 90, 161–166. https://doi.org/10.1016/j.biocel.2017.07.006
Research lines:
There are no lines of investigation associated with this user.
Funding:
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Participation in:
Master Programs: Master's Degree in Bioinformatics, Universitat de València
Doctoral Programs: PhD in Biotechnology, Universitat Politècnica de València
