A5026958427- Distributed and Parallel Computing Systems
- Bioinformatics and Genomic Networks
- Cloud Computing and Resource Management
- Computational Drug Discovery Methods
- Gene Regulatory Network Analysis
- Parallel Computing and Optimization Techniques
- Bacterial Genetics and Biotechnology
- Scientific Computing and Data Management
- Single-cell and spatial transcriptomics
- Optimization and Search Problems
- Microbial Metabolic Engineering and Bioproduction
- Scheduling and Optimization Algorithms
- Pharmacovigilance and Adverse Drug Reactions
- Data-Driven Disease Surveillance
- Peer-to-Peer Network Technologies
- Antibiotic Resistance in Bacteria
- Bacterial biofilms and quorum sensing
- Advanced Data Storage Technologies
- Biomedical Text Mining and Ontologies
- Cell Image Analysis Techniques
- Distributed systems and fault tolerance
- SARS-CoV-2 and COVID-19 Research
- vaccines and immunoinformatics approaches
- IoT and Edge/Fog Computing
- Security and Verification in Computing
Fundação Oswaldo Cruz
2016-2025
University of Lisbon
1994-2023
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2023
Vale Technological Institute
2022
Instituto Biológico
2021
Universidade Federal de Lavras
2017
Universidade do Estado do Rio de Janeiro
2016
Iscte – Instituto Universitário de Lisboa
2016
Universidade Nova de Lisboa
2016
Faculdades Oswaldo Cruz
2016
We here discuss how to run Bag-of-Tasks applications on computational grids. (those parallel whose tasks are independent) both relevant and amendable for execution However, few users currently execute their investigate the reason this state of affairs introduce MyGrid, a system designed overcome identified difficulties. MyGrid provides simple, complete secure way user all resources she has access to. Besides putting together solution useful real users, embeds two important research...
Extreme rainfall events are becoming increasingly frequent in Northeast Brazil (NEB). The state of Alagoas, located on the eastern coast region, is one most affected areas recent years, with records high-magnitude over past four years. These cause significant socioeconomic impacts, resulting considerable human and material losses, underscoring importance a deeper understanding to mitigate short-term risks better. This study aims investigate synoptic mesoscale conditions driving extreme...
Much remains to be understood about COVID-19, but the protective role of antibodies (Igs) is widely accepted in SARS-CoV-2 infection. Igs’ functions are mainly carried out by receptors that bind their Fc portion (FcR), and less attention has been dedicated cytoplasmic members this family. In work, we used single-cell RNA sequencing (scRNA-seq) data discern cell populations bronchoalveolar lavage fluid obtained from healthy individuals patients with mild or severe COVID-19. Then, evaluated...
Background: The in-hospital treatment for COVID-19 may include medicines from various therapeutic classes, such as antiviral remdesivir and immunosuppressant tocilizumab. Safety data these are based on controlled clinical trials case reports, limiting the knowledge about less frequent, rare or unique population adverse events excluded trials. Objective: This study aims at analyzing reports of Adverse Drug Events (ADEs) related to two medicines, focusing in pregnant women foetuses. Methods:...
Cancer is a genetic disease for which traditional treatments cause harmful side effects. After two decades of genomics technological breakthroughs, personalized medicine being used to improve treatment outcomes and mitigate In mathematical modeling, it has been proposed that cancer matches an attractor in Waddington's epigenetic landscape. The use Hopfield networks attractive modeling approach because requires neither previous biological knowledge about protein-protein interactions nor...
Mesenchymal stem cells (MSCs) are multipotent adult present in virtually all tissues; they have potent self-renewal capacity and differentiate into multiple cell types. For many reasons, these a promising therapeutic alternative to treat patients with severe COVID-19 pulmonary post-COVID sequelae. These not only essential for tissue regeneration; can also alter the environment through paracrine secretion of several mediators. They control or promote inflammation, induce other...
The demand for processing ever increasing amounts of genomic data has raised new challenges the implementation highly scalable and efficient computational systems. In this paper we propose SparkBLAST, a parallelization sequence alignment application (BLAST) that employs cloud computing provisioning resources Apache Spark as coordination framework. As proof concept, some radionuclide-resistant bacterial genomes were selected similarity analysis. Experiments in Google Microsoft Azure clouds...
Glioblastoma Multiforme is a brain tumor distinguished by its aggressiveness. We suggested that this aggressiveness leads single-cell RNA-sequence data (scRNA-seq) to span representative portion of the cancer attractors domain. This conjecture allowed us interpret scRNA-seq heterogeneity as reflecting trajectory within attractor’s considered factors such genomic instability characterize dynamics through stochastic fixed points. The points were derived from centroids obtained various...
Traditional approaches to cancer therapy seek common molecular targets in tumors from different patients. However, profiles differ between patients, and most exhibit inherent heterogeneity. Hence, imprecise targeting commonly results side effects, reduced efficacy, drug resistance. By contrast, personalized medicine aims establish a diagnosis specific each patient, which is currently feasible due the progress achieved with high-throughput technologies. In this report, we explored data human...
Multidrug-resistant microorganisms are a well-known global problem, and gram-negative bacilli top-ranking. When these pathogens associated with bloodstream infections (BSI), outcomes become even worse. Here we applied whole-genome sequencing to access information about clonal distribution, resistance mechanism diversity other molecular aspects of (GNB) isolated from in Brazil. It was possible highlight international high-risk clones circulating the Brazilian territory, such as CC258 for...
One aspect of personalized medicine is aiming at identifying specific targets for therapy considering the gene expression profile each patient individually. The real-world implementation this approach better achieved by user-friendly bioinformatics systems healthcare professionals. In report, we present an online platform that endows users with interface designed using MEAN stack supported a Galaxy pipeline. This pipeline connection hubs in subnetworks formed interactions between proteins...
Summary Data abundance poses the need for powerful and easy‐to‐use tools that support processing large amounts of data. MapReduce has been increasingly adopted over a decade by many companies, more recently, it attracted attention an increasing number researchers in several areas. One main advantage is complex details parallel processing, such as network programming, task scheduling, data placement, fault tolerance, are hidden conceptually simple framework. supported mature software...
Children are more exposed to inappropriate medicines use and its harms. Spontaneous reporting of suspected Serious Adverse Drug Reactions (SADRs) increases knowledge prevention pharmacotherapy risk. Disproportionality measures useful quantify unexpected safety issues associated with a given drug-event pair (signals disproportionality). This cross-sectional study aimed assess SADRs signals for Brazilian children 0-12 years old notified between January 2008 December 2013 from the system...
A software architecture is described which enables a virtual agent in an online world to carry out simple English language interactions grounded its perceptions and actions.The use of guide anaphor resolution discussed, along with the natural generation answer questions about observed world.This has been implemented within larger PetBrain system, built on OpenCog open-source AI framework architected based OpenCogPrime design for integrative AGI, previously used nonlinguistic intelligent...
Spontaneous reporting systems may generate a large volume of information in real world conditions with relatively low cost. Disproportionality measures are useful to indicate and quantify unexpected safety issues associated given drug-event pair (signals disproportionality), based upon differences compared the background frequency. This cross-sectional study (2008 2013) aimed analyse feasibility detecting such signals Brazilian Pharmacovigilance Database comprising suspected adverse drug...