Espindola Research Group
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Andres S Espindola
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Detection of Phytophthora, Pythium, Globisporangium, Hyaloperonospora and Plasmopara species in High-Throughput Sequencing data by in silico and in vitro analysis using Microbe Finder (MiFi®)
Development and evaluation of Microbe Finder (MiFi)®: a novel in silico diagnostic platform for pathogen detection from metagenomic data
Development and Validation of E-Probes with the MiFi System for Detection of Ralstonia solanacearum Species Complex in Blueberries
Knowledge Gaps, Research Needs, and Opportunities in Plant Disease Diagnostic Assay Development and Validation
A Step Towards Validation of High-Throughput Sequencing for the Identification of Plant Pathogenic Oomycetes
TASPERT: Target-Specific Reverse Transcript Pools to Improve HTS Plant Virus Diagnostics
Genome analysis of Spiroplasma citri strains from different host plants and its leafhopper vectors
Microbe Finder (MiFi$^®$): Implementation of an Interactive Pathogen Detection Tool in Metagenomic Sequence Data
New Technologies from the Microbial World: Alternatives for Biomedical Surrogate Research
Whole-Genome Sequences of Ralstonia solanacearum Strains P816, P822, and P824, Emerging Pathogens of Blueberry in Florida
Inferring the presence of aflatoxin-producing textitAspergillus flavus strains using RNA sequencing and electronic probes as a transcriptomic screening tool
Eukaryotic Plant Pathogen Detection Through High Throughput DNA/RNA Sequencing Data Analysis
E-probe Diagnostic Nucleic acid Analysis (EDNA): a theoretical approach for handling of next generation sequencing data for diagnostics
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