Development, Wiring and Function of Cerebellar Circuits

Institution: Instituto de Neurociencias (IN)

Members (researchers): Ángeles Arzalluz Luque

Home page: https://in.umh-csic.es/en/grupos/development-wiring-and-function-of-cerebellar-circuits/
Contact email: juan.moreno@umh.es

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Research topics:

Analysis packages (R, Python, etc.), Applications of Computational Biology, Bioinformatics Software and Tools, Computational Methods, Development, Omics, RNA Sequencing (RNA-seq), Single-cell (scRNA-seq), Single-cell omics, Transcriptomics

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

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

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