Evidence map›Paper›PMID 40624618›Full record

ArticleBMC bioinformatics2025

DiscMycoVir: a user-friendly platform for discovering mycoviruses in fungal transcriptomes.

Agorakis Bompotas, Nikitas-Rigas Kalogeropoulos, Maria Giachali, Ioly Kotta-Loizou, Christos Makris

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Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Agorakis BompotasDepartment of Computer Engineering and Informatics, University of Patras, 26504, Rion, Achaia, Greece.
Nikitas-Rigas KalogeropoulosDepartment of Computer Engineering and Informatics, University of Patras, 26504, Rion, Achaia, Greece.
Maria GiachaliDepartment of Computer Engineering and Informatics, University of Patras, 26504, Rion, Achaia, Greece.
Ioly Kotta-LoizouDepartment of Clinical, Pharmaceutical and Biological Science, School of Health, Medicine and Life Sciences, University of Hertfordshire, Hatfield, AL10 9AB, UK. i.kotta-loizou2@herts.ac.uk.
Christos MakrisDepartment of Computer Engineering and Informatics, University of Patras, 26504, Rion, Achaia, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe 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-

resultsWe 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.

conclusionsDiscMycoVir 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.

Indexed as

Fungal VirusesSoftwareTranscriptomeCandida aurisHigh-Throughput Nucleotide SequencingDockerMycovirus discoveryPipelineSequence analysis

Identifiers

PMID40624618
PMCPMC12235966

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.