A5000457683- Genomics and Phylogenetic Studies
- Data Mining Algorithms and Applications
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Data Management and Algorithms
- Plant and animal studies
- Explainable Artificial Intelligence (XAI)
- Evolutionary Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Advanced Database Systems and Queries
- Genetic diversity and population structure
- Reinforcement Learning in Robotics
- Plant Diversity and Evolution
- Cancer-related molecular mechanisms research
- Environmental DNA in Biodiversity Studies
- Data Visualization and Analytics
- Insect and Pesticide Research
- Geology and Paleoclimatology Research
- Adversarial Robustness in Machine Learning
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- MicroRNA in disease regulation
- Precipitation Measurement and Analysis
Vale Technological Institute
2014-2024
Vale (Brazil)
2012-2024
Universidade Federal do Pará
2014-2023
Inform (Germany)
2023
Instituto de Desenvolvimento Sustentável Mamirauá
2012-2021
Weatherford College
2021
Flint Institute Of Arts
2021
Universidade Federal de Pernambuco
2021
Universidade Federal do Maranhão
2021
Collaborative Group (United States)
2020
Ecological restoration is essential in rehabilitating degraded areas and safeguarding biodiversity, ecosystem services human welfare. Using functional traits to plan strategies has been suggested as they are the main ecological attributes that underlie processes services. However, few studies have translated theory into actual practices can be easily used by different stakeholders. In this article, we applied a multiple-trait approach select plant species for of lands inside Brazilian Amazon...
Fraudulent milk adulteration is a dangerous practice in the dairy industry that harmful to consumers since one of most consumed food products. Milk quality can be assessed by Fourier Transformed Infrared Spectroscopy (FTIR), simple and fast method for obtaining its compositional information. The spectral data produced this technique explored using machine learning methods, such as neural networks decision trees, order create models represent characteristics pure adulterated samples.Thousands...
Abstract Despite the importance of climate‐adjusted provenancing to mitigate effects environmental change, climatic considerations alone are insufficient when restoring highly degraded sites. Here we propose a comprehensive landscape genomic approach assist restoration moderately disturbed and To illustrate it employ data sets comprising thousands single nucleotide polymorphisms from two plant species suitable for iron‐rich Amazonian Savannas. We first use subset neutral loci assess genetic...
Abstract Habitat degradation and climate change are currently threatening wild pollinators, compromising their ability to provide pollination services cultivated plants. Landscape genomics offers powerful tools assess the influence of landscape modifications on genetic diversity functional connectivity, identify adaptations local environmental conditions that could facilitate future bee survival. Here, we assessed range‐wide patterns structure, diversity, gene flow, adaptation in stingless...
Although genetic diversity ultimately determines the ability of organisms to adapt environmental changes, conservation assessments like widely used International Union for Conservation Nature (IUCN) Red List Criteria do not explicitly consider information. Including a dimension into IUCN would greatly enhance efforts, because demographic parameters traditionally considered are poor predictors evolutionary resilience natural populations global change. Here we perform first genomic assessment...
Biodiversity data, particularly species occurrence and abundance, are indispensable for testing empirical hypothesis in natural sciences. However, datasets built research programmes do not often meet FAIR (findable, accessible, interoperable reusable) principles, which raises questions about data quality, accuracy availability. The 21 st century has markedly been a new era science analytics every effort to aggregate, standardise, filter share biodiversity from multiple sources have become...
Freshwater fungi are key decomposers of organic material and play important roles in nutrient cycling, bio-remediation ecosystem functioning. Although aquatic fungal communities respond to pollution, few studies have quantitatively assessed the effect freshwater contamination on diversity composition; knowledge is scarcer for tropical systems. Here we help fill this gap by studying a heavily-contaminated South American river spanning biodiversity hotspot. We collected 30 water samples...
Abstract Microorganisms are useful environmental indicators, able to deliver essential insights processes regarding mine land rehabilitation. To compare microbial communities from a chronosequence of rehabilitation pre-disturbance levels references sites covered by native vegetation, we sampled non-rehabilitated, rehabilitating and reference study the Urucum Massif, Southwestern Brazil. From each site, three composed soil samples were collected for chemical, physical, metagenomics analysis....
MicroRNAs are key regulators of eukaryotic gene expression whose fundamental role has already been identified in many cell pathways. The correct identification miRNAs targets is still a major challenge bioinformatics and motivated the development several computational methods to overcome inherent limitations experimental analysis. Indeed, best results reported so far terms specificity sensitivity associated machine learning-based for microRNA-target prediction. Following this trend, current...
In this paper we explore the reliability of contexts machine learning (ML) models. There are several evaluation procedures commonly used to validate a model (precision, F1 Score and others); However, these not linked itself, but only number correct answers presented by model. This characteristic makes it impossible assess whether was able learn through elements that make sense context in which is inserted. Therefore, could achieves good results training stage poor when needs be generalized....
Several alternative interpretations of the pollen records lake sediments in Amazonia may arise due to a lack understanding modern environments, mainly related pollen–vegetation relationship. Therefore, this work, we studied rain Amendoim Lake, plateaus Serra Sul dos Carajás, southeastern Amazonia. This study indicates predominance grains from forest formation (ombrophilous forests and capão florestal) over montane savanna sediments, despite fact that occupies ~90% drainage basin....
There is still no consensus on the true origin of fatal yellowing, one most important diseases affecting oil palm (Elaeis guineensis Jacq.) plantations. This study involved two-dimensional liquid chromatography coupled with tandem mass spectrometry (2D-UPLC-MSE) analyses to identify changes in protein profiles palms affected by FY disease. Oil roots were sampled from two growing areas. Differential accumulation proteins was assessed comparing plants and without symptoms between at different...
Isoetes are ancient quillworts members of the only genus order Isoetales. The is slow evolving but resilient, and widespread worldwide. Two recently described species occur in Eastern Brazilian Amazon, serracarajensis cangae. They found ironstone grasslands known as Canga. While I. present mostly seasonal water bodies, cangae to a single permanent lake at South mountain range. In this work, we undertake an extensive morphological, physiological genetic characterization both establish...