| Title: | A novel tool for virus detection in plant samples using siRNA-seq |
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| Authors: | ID Kotiščak, Jelena (Author)
ID Gorenjak, Mario (Mentor) More about this mentor... 
ID Bianchi, Valerio (Comentor) |
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| Files: |  MAG_Kotiscak_Jelena_2022.pdf (1,50 MB)
MD5: D4C5F35D369625565372522F15E33379
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| Language: | English |
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| Work type: | Master's thesis/paper |
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| Typology: | 2.09 - Master's Thesis |
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| Organization: | FZV - Faculty of Health Sciences
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| Abstract: | Plant viruses and viral infections in crops significantly adversely affect crop yields and decrease fruit quality, leading to significant economic losses and posing a threat to sustainable global cultivation (Rubio, et al., 2020). To this extent, early identification of viral infections in plants is essential, and it is a significant step towards preventing the spread of the infection and thriving and healthy crop production. Next-generation sequencing (NGS) has moved the limitations of sequencing technologies allowing rapid, affordable, and accurate sequencing and opening new genomic knowledge to researchers (Cullum, et al., 2010). |
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| Keywords: | Bioinformatic, phytopathology, virology, deep sequencing |
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| Place of publishing: | Maribor |
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| Publisher: | [J. Kotiščak] |
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| Year of publishing: | 2022 |
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| PID: | 20.500.12556/DKUM-82900 |
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| UDC: | 575.112:581.2(043.2) |
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| COBISS.SI-ID: | 145476611 |
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| Publication date in DKUM: | 21.04.2026 |
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| Views: | 180 |
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| Downloads: | 5 |
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| Metadata: |    |
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| Categories: | FZV
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