Ángeles Arzalluz Luque
Development, Wiring and Function of Cerebellar Circuits · IN
Biography
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Having a strong molecular biology background and an MSc in Systems and Computational Biology, I obtained a PhD in Bioinformatics in 2024, applying single-cell RNA-seq and long-read sequencing to the study of alternative isoforms. My research comprised the development of computational methods to help analyse scRNA-seq data and understand single-cell biology. Since April 2024 I work as a bioinformatics postdoctoral researcher at the Instituto de Neurociencias de Alicante (CSIC-UMH), in the Moreno-Bravo Lab, unravelling the transcriptomic mechanisms of cerebellar circuit wiring in mice. Other interests include the role of women and LGBTI people in science, science communication, open science and software development. |
Profile
| Institution | IN |
| Position | Postdoctoral Researcher (Bioinformatics), Moreno-Bravo Lab, Instituto de Neurociencias (CSIC-UMH) |
| Home page | https://www.linkedin.com/in/angelesarzalluz/ |
| Contact email | aarzalluz@umh.es |
| ORCID | 0000-0002-2959-0134 |
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Research
Research topics
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Projects, networks, transfer & teaching
Teaching
Master programs
- MSc in Bioinformatics - Universitat de València (In silico studies in biomedicine; 2021/22, 2022/23, 2023/24)
- MSc in Omics Data Analysis and Systems Biology - Universidad de Sevilla and Universidad Internacional de Andalucía (Multi-omics integrative analysis; 2021/22, 2022/23, 2023/24)
Funded projects 1
Publications 6 entries
- Brain-wide mapping of developmental trajectories of cerebellar efferent projections Article · 25 Nov 2025
- Mutant PRPF8 Causes Widespread Splicing Changes in Spliceosome Components in Retinitis Pigmentosa Patient iPSC-Derived RPE Cells Article · 29 Apr 2021
- tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing Preprint · 3 Jul 2019
- MOSim: bulk and single-cell multi-layer regulatory network simulator Preprint · 20 Sep 2018
- scFeatureFilter: Correlation-Based Feature Filtering for Single-Cell RNAseq Book / chapter · 2018
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- Delineating biological and technical variance in single cell expression data Article · Sep 2017