Beatriz Vieira Mourato

Bioinformatician at the bioinformatics research group at the Max Plank Institute for Evolutionary Biology

Recently finished my doctoral degree with a thesis on the detection and annotation of unique genomic regions.

A biologist by training, I am interested in finding and exploring biological patterns hidden in genomic data. For this I rely on data analysis and visualization.

Kiel University, PhD in Evolution Biology

2020 - 2025

• Thesis: Detection and functional annotation of unique genomic regions

Zurich University, MSc in Evolution and Systematics

2015 - 2017

• Thesis: Quantitative phenotypic plasticity in leaf and flower morphology in the allotetraploid Arabidopsis kamchatica

Evora University, Bsc in Biology

2012 - 2015

• Short project: Comparative Analysis of Barn Owl (Tytus alba) diet in Companhia-das-Lezirias

Bioinformatician

2026 - Current

Research Group Bioinformatics, Max Planck Institute for Evolutionary Biology

• Support of current tools developed by RG Bioinformatics

• Fast methods of sequence comparison methods for below species level genome clustering

Research Fellowship

2018 - 2020

Population and Conversation Genetics Group, Gulbenkian Institute of Science

• Can statistic modelling help us understand habitat loss and fragmentation in Madagascar, a biodiversity hotspot?

• Marker Discovery in the Large, ISMB/ECCB 2025 Conference, Liverpool

• Fast computation of the Average Nucleotide Identity - ANI, Aquavit (Internal Symposia), Plön

• Globally unique regions in mammalian genomes, Womens Talk Marathon, Kiel

• Scalling up marker discovery from whole genome sequences, GCB2023, Hamburg

• Efficient marker discovery from whole genome sequencesm Aquavit (Internal Symposia), Plön

• High complexity regions: from single to multiple genome analysis, Aquavit (internal Symposia), Plön

• Characterizing unique regions in the human genome, IMPRS EvolBio PhD Retreat, Kiel

• Genomic data and demographic inferences under structured models applied to lemers, Approche Interdisciplinaira de l’Evolution Moléculaire (AIEM), Toulouse

• [1] Vieira Mourato, B. & Haubold, B. (2025) “Fast Detection of Unique Genomic Regions”. Computational and Structural Biotechnology. https://doi.org/10.1016/j.csbj.2025.02.025.

• [2] Vieira Mourato, B. & Haubold, B. (2025) “Detection and annotation of unique regions in mammalian genomes”. G3: Genes, Genomes, Genetics, 15(1).https://doi.org/10.1093/g3journal/jkae257.

• [3] Vieira Mourato, B., Tsers, I., Denker, S., Klötzl, F., & Haubold, B. (2024). “Marker discovery in the large”. Bioinformatics, 1-7. https://doi.org/10.1093/bioadv/vbae113.

• [4] Shimizu-Inatsugi, R., Morishima, A.,Mourato, B., Shimizu, K. K., & Sato, Y. (2023). “Phenotypic variation of a new synthetic allotetraploid Arabidopsis kamchatica enhanced in natural environment”. Frontiers in plant science, 13, 1058522. https://doi.org/10.3389/fpls.2022.1058522.

• [5] Arredondo, A., Mourato, B., Nguyen, K., Boitard, S., Rodríguez, W., Mazet, O., & Chikhi, L. (2021). “Inferring number of populations and changes in connectivity under the n-island model”. Heredity, 126(6), 896-912. https://doi.org/10.1038/s41437-021-00426-9.

• [6] Teixeira, H., Salmona, J., Arredondo, A., Mourato, B., Manzi, S., Rakotondravony, R., Mazet, O., Chikhi, L., Metzger, J., & Radespiel, U. (2021). “Impact of model assumptions on demographic inferences: The case study of two sympatric mouse lemurs in northwestern Madagascar”. BMC Ecology and Evolution, 21(1). https://doi.org/10.1186/s12862-021-01929-z.

• [7] Vieira Mourato, B. (2025) “Detection and annotation of unique genomic regions”. (Doctoral dissertation). https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2024-01212-2.

• [8] Mourato, B. V., Vucetic, A., Pullan, D., Lin, D., Li, J., & Lu, T. (2023). “PhDnet Report 2022”. doi/10.17617/2.3530594

• [9] Carollo, A., Mourato, B. V., Rumley, E., & Vucetic, A. (2022). “PhDnet Report 2021”. doi/10.17617/2.3428999