Kodoja: A workflow for virus detection in plants using k-mer analysis of RNA-sequencing data-Reference-Cited by-同舟云学术

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Kodoja: A workflow for virus detection in plants using k-mer analysis of RNA-sequencing data

Published:2019-03-01 Issue:3 Volume:100 Page:533-542
ISSN:0022-1317
Container-title:Journal of General Virology
language:en
Short-container-title:

Author:

Baizan-Edge Amanda¹,Cock Peter²,MacFarlane Stuart³,McGavin Wendy³,Torrance Lesley¹³,Jones Susan²

Affiliation:

1. 1The School of Biology, University of St Andrews, Biomedical Sciences Research Complex, St Andrews, KY16 9ST, UK

2. 2Information and Computational Sciences Group, The James Hutton Institute, Dundee, DD2 5DA, UK

3. 3Cell and Molecular Sciences Group, The James Hutton Institute, Dundee, DD2 5DA, UK

Publisher

Microbiology Society

Subject

Virology

Reference38 articles.

1. Crop immunity against viruses: outcomes and future challenges

2. Viruses: economical losses and biotechnological potential;Valkonen,2007

3. Transgenic strategies to confer resistance against viruses in rice plants

4. Synergisms between microbial pathogens in plant disease complexes: a growing trend

5. Blackberry Yellow Vein Disease (BYVD) Complex and Associated Viruses;Martin;Plant Dis,2013

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2. A global analysis of the Rubus virome using public transcriptome data;European Journal of Plant Pathology;2024-07-04

3. High-throughput sequencing for plant virology diagnostics and its potential in plant health certification;Frontiers in Horticulture;2024-05-23

4. Elimination of yam mosaic virus from yam using an optimized combination of meristem culture and thermotherapy;Australasian Plant Pathology;2024-02-10

5. PhytoPipe: a phytosanitary pipeline for plant pathogen detection and diagnosis using RNA-seq data;BMC Bioinformatics;2023-12-13

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