Andres Espindola
Affiliations: | 2011-2016 | Entomology and Plant Pathology | Oklahoma State University, Stillwater, OK, United States |
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"Andres Espindola"
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| Narayanan S, Espindola AS, Malayer J, et al. (2023) Development and evaluation of Microbe Finder (MiFi): a novel diagnostic platform for pathogen detection from metagenomic data. Journal of Medical Microbiology. 72 |
| Espindola AS, Cardwell KF, Martin FN, et al. (2022) A step towards validation of high-throughput sequencing for the identification of plant pathogenic oomycetes. Phytopathology |
| Dang T, Espindola A, Vidalakis G, et al. (2022) An In Silico Detection of a Citrus Viroid from Raw High-Throughput Sequencing Data. Methods in Molecular Biology (Clifton, N.J.). 2316: 275-283 |
| Espindola AS, Sempertegui-Bayas D, Bravo-Padilla DF, et al. (2021) TASPERT: Target-Specific Reverse Transcript Pools to Improve HTS Plant Virus Diagnostics. Viruses. 13 |
| Espindola AS, Cardwell KF. (2021) Microbe Finder (MiFi): Implementation of an Interactive Pathogen Detection Tool in Metagenomic Sequence Data. Plants (Basel, Switzerland). 10 |
| Bocsanczy AM, Espindola AS, Norman DJ. (2019) Whole-Genome Sequences of Ralstonia solanacearum Strains P816, P822, and P824, Emerging Pathogens of Blueberry in Florida. Microbiology Resource Announcements. 8 |
| Espindola AS, Schneider W, Cardwell KF, et al. (2018) Inferring the presence of aflatoxin-producing Aspergillus flavus strains using RNA sequencing and electronic probes as a transcriptomic screening tool. Plos One. 13: e0198575 |
| Espindola A, Schneider W, Hoyt PR, et al. (2015) A new approach for detecting fungal and oomycete plant pathogens in next generation sequencing metagenome data utilising electronic probes. International Journal of Data Mining and Bioinformatics. 12: 115-28 |
| Weiland JE, Garrido P, Kamvar ZN, et al. (2015) Population Structure of Pythium irregulare, P. ultimum, and P. sylvaticum in Forest Nursery Soils of Oregon and Washington. Phytopathology. 105: 684-94 |
| Stobbe AH, Daniels J, Espindola AS, et al. (2013) E-probe Diagnostic Nucleic acid Analysis (EDNA): a theoretical approach for handling of next generation sequencing data for diagnostics. Journal of Microbiological Methods. 94: 356-66 |