Year |
Citation |
Score |
2025 |
Roy A, Shao J, Espindola AS, Ramos Lopez D, Otero-Colina G, Rivera Y, Mavrodieva VA, Nakhla MK, Schneider WL, Cardwell K. Detection and In Vivo Validation of e-Probes in Meta-Transcriptomic Data via Microbe Finder (MiFi) Discovers a Novel Host and a Possible New Strain of Orchid Fleck Virus. Viruses. 17. PMID 40143368 DOI: 10.3390/v17030441 |
0.453 |
|
2025 |
Ramos Lopez D, Flores FJ, Espindola AS. MeStanG-Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation. Biology. 14. PMID 39857299 DOI: 10.3390/biology14010069 |
0.591 |
|
2025 |
Mosquera-Yuqui F, Ramos-Lopez D, Hu X, Yang Y, Mendoza JL, Asare E, Habiger J, Hurtado-Gonzales OP, Espindola AS. A comparative template-switching cDNA approach for HTS-based multiplex detection of three viruses and one viroid commonly found in apple trees. Scientific Reports. 15: 1657. PMID 39794400 DOI: 10.1038/s41598-025-86065-0 |
0.314 |
|
2024 |
Espindola AS. Simulated High Throughput Sequencing Datasets: A Crucial Tool for Validating Bioinformatic Pathogen Detection Pipelines. Biology. 13. PMID 39336128 DOI: 10.3390/biology13090700 |
0.381 |
|
2023 |
Narayanan S, Espindola AS, Malayer J, Cardwell K, Ramachandran A. Development and evaluation of Microbe Finder (MiFi): a novel diagnostic platform for pathogen detection from metagenomic data. Journal of Medical Microbiology. 72. PMID 37345698 DOI: 10.1099/jmm.0.001720 |
0.416 |
|
2022 |
Espindola AS, Cardwell KF, Martin FN, Hoyt PR, Marek S, Schneider W, Garzon CD. A step towards validation of high-throughput sequencing for the identification of plant pathogenic oomycetes. Phytopathology. PMID 35345904 DOI: 10.1094/PHYTO-11-21-0454-R |
0.664 |
|
2022 |
Dang T, Espindola A, Vidalakis G, Cardwell K. An In Silico Detection of a Citrus Viroid from Raw High-Throughput Sequencing Data. Methods in Molecular Biology (Clifton, N.J.). 2316: 275-283. PMID 34845702 DOI: 10.1007/978-1-0716-1464-8_23 |
0.394 |
|
2021 |
Espindola AS, Sempertegui-Bayas D, Bravo-Padilla DF, Freire-Zapata V, Ochoa-Corona F, Cardwell KF. TASPERT: Target-Specific Reverse Transcript Pools to Improve HTS Plant Virus Diagnostics. Viruses. 13. PMID 34202758 DOI: 10.3390/v13071223 |
0.371 |
|
2021 |
Espindola AS, Cardwell KF. Microbe Finder (MiFi): Implementation of an Interactive Pathogen Detection Tool in Metagenomic Sequence Data. Plants (Basel, Switzerland). 10. PMID 33525397 DOI: 10.3390/plants10020250 |
0.437 |
|
2019 |
Bocsanczy AM, Espindola AS, Norman DJ. Whole-Genome Sequences of Ralstonia solanacearum Strains P816, P822, and P824, Emerging Pathogens of Blueberry in Florida. Microbiology Resource Announcements. 8. PMID 30687821 DOI: 10.1128/MRA.01316-18 |
0.35 |
|
2018 |
Espindola AS, Schneider W, Cardwell KF, Carrillo Y, Hoyt PR, Marek SM, Melouk HA, Garzon CD. Inferring the presence of aflatoxin-producing Aspergillus flavus strains using RNA sequencing and electronic probes as a transcriptomic screening tool. Plos One. 13: e0198575. PMID 30325975 DOI: 10.1371/Journal.Pone.0198575 |
0.644 |
|
2015 |
Espindola A, Schneider W, Hoyt PR, Marek SM, Garzon C. 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. PMID 26510298 |
0.653 |
|
2015 |
Weiland JE, Garrido P, Kamvar ZN, Espíndola AS, Marek SM, Grünwald NJ, Garzón CD. Population Structure of Pythium irregulare, P. ultimum, and P. sylvaticum in Forest Nursery Soils of Oregon and Washington. Phytopathology. 105: 684-94. PMID 25607720 DOI: 10.1094/Phyto-05-14-0147-R |
0.56 |
|
2013 |
Stobbe AH, Daniels J, Espindola AS, Verma R, Melcher U, Ochoa-Corona F, Garzon C, Fletcher J, Schneider W. 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. PMID 23867249 DOI: 10.1016/J.Mimet.2013.07.002 |
0.668 |
|
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