Data science seminar
By André Lamúrias
Date: October 4th 2019 14:30h
Where: C6 6.3.38
Seminar: Deep Learning System for Biomedical Relation Extraction Combining External Sources of Knowledge
Bioinformatics and computational biology seminar
By Diana Sousa
Date: October 3rd 2019 12:30h
Where: C2 2.4.16 FCUL
Livro: Introdução à Bioinformática Via Linha de Comando
Paper: FunVar: A Systematic Pipeline to Unravel the Convergence Patterns of Genetic Variants in ASD, a Paradigmatic Complex Disease
FunVar: A Systematic Pipeline to Unravel the Convergence Patterns of Genetic Variants in ASD, a Paradigmatic Complex Disease
by Muhammad Asif, Astrid M.Vicente and Francisco M.Couto
Journal of Biomedical Informatics
Thesis: Exploring Biomedical Ontologies, Personalized PageRank and Semantic Similarity in the Entity Linking task
Title: Exploring Biomedical Ontologies, Personalized PageRank and Semantic Similarity in the Entity Linking task
Who: Pedro Ruas
When: July 26, 2019, 2.30pm
Where: FCUL room 2.2.24
Workshop at University of Algarve
Francisco Couto organized a workshop about data and text processing using command line at the Universidade do Algarve, Faro, Portugal on July 11-12.
Thesis: Information Retrieval using Machine Learning for Database Curation
Title: Information Retrieval using Machine Learning for Database Curation
Who: Sofia Jesus
When: July 24, 2019, 9am
Where: FCUL room 2.2.24
Talk: Data sharing, standards and data analysis in metabolomics, a more reproduceable way
Presenter: Reza Salek, The International Agency for Research on Cancer (IARC), Lyon, France
Title: Data sharing, standards and data analysis in metabolomics, a more reproduceable way
Date: July 15, 11h00
Where: 6.2.53, Building C6, FCUL
Abstract:
A significant challenge in metabolomics is results reproducibility and confidence in the metabolite identification, which are directly related to the choice of analytical instruments, available evidence extracted through data analysis, and quality and accuracy of the reporting. Several approaches taken in recent years will be presented towards improving reproducibility and reporting in metabolomics as well as an overview of computational infrastructure built for metabolomics data analysis.
Short Bio:
2018-Present: Staff Scientist, Biomarkers Group -The International Agency for Research on Cancer (IARC). Application of bioinformatics on studying larger cohort studies on Cancer prevention and the exposome.
2015-2018: Scientific Coordinator, EMBL- European Bioinformatics Institute, Metabolomics and Molecular Informatics.
2012-2015: EMBL- European Bioinformatics Institute (EBI), Cheminformatics and metabolism and Visiting Research Fellow, University of Cambridge, Department of Biochemistry.
2011-2012: Senior Scientific Investigator, Medical Research Council-HNR; integration of multi-omics.
2008-2011: Senior Research Associate, University of Cambridge, Department of Biochemistry.
2003-2007: Research Associate, University of Cambridge, Department of Biochemistry.
Publications: https://orcid.org/0000-0001-8604-1732
Poster at the ESHG Conference
Who: Ana Ilhéu
Where: ESHG 2019, Sweden
What: Phenotypic manifestation of putative disease causing genetic variants
Thesis: Extracting Phenotype-Gene Relations from Biomedical Literature Using Distant Supervision and Deep Learning
Title: Extracting Phenotype-Gene Relations from Biomedical Literature Using Distant Supervision and Deep Learning
Who: Diana Sousa
When: June 17, 2019 3pm
Where: FCUL room 2.2.24