Citation

BibTex format

@article{Bompotas:2025:10.1186/s12859-025-06196-z,
author = {Bompotas, A and Kalogeropoulos, N-R and Giachali, M and Kotta-Loizou, I and Makris, C},
doi = {10.1186/s12859-025-06196-z},
journal = {BMC Bioinformatics},
title = {DiscMycoVir: a user-friendly platform for discovering mycoviruses in fungal transcriptomes},
url = {http://dx.doi.org/10.1186/s12859-025-06196-z},
volume = {26},
year = {2025}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Purpose:The article presents DiscMycoVir, an elegant and user-friendly platform for discovering mycoviruses in fungal transcriptomes. DiscMycoVir is a pipeline of established tools for next-generation sequencing analysis and database searching, incorporated in an interface that facilitates accessibility even for users that have no programming skills and expertise. A comprehensive and detailed result report enhances user experience. DiscMycoVir can be accessed online for reviewing purposes at: https://discmycovir.imslab.gr:8000 and the source code is located at https://github.com/abompotas/DiscMycoVir. We recommend using the GitHub repository, as the online platform may lack the necessary resources to ensure uninterrupted service especially on large files.Methods–results:We employed state-of-the-art technologies in the design and implementation phase of the platform. We present the application of the platform in screening RNA-seq data from the yeast Candida auris for mycoviruses, demonstrating its efficiency and simplicity in use.Conclusions:DiscMycoVir serves as a user-friendly platform for identifying mycoviruses in RNA-seq data. Our tool was successfully implemented to discover mycoviruses in a C. auris isolate and could be adapted to detect viruses in transcriptomes from other organisms as well.
AU - Bompotas,A
AU - Kalogeropoulos,N-R
AU - Giachali,M
AU - Kotta-Loizou,I
AU - Makris,C
DO - 10.1186/s12859-025-06196-z
PY - 2025///
SN - 1471-2105
TI - DiscMycoVir: a user-friendly platform for discovering mycoviruses in fungal transcriptomes
T2 - BMC Bioinformatics
UR - http://dx.doi.org/10.1186/s12859-025-06196-z
VL - 26
ER -

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