European Virus Bioinformatics Center
@evbc.bsky.social
730 followers 58 following 98 posts
Bringing together the excellence of virology and bioinformatics. Tools: http://bit.ly/evbctools Impressum: https://evbc.uni-jena.de/impressum/
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evbc.bsky.social
HIV-phyloTSI uses diversity (MAF) and divergence (LRTT) metrics from deep #HIV-1 sequencing to produce continuous, subtype-independent estimates of time since infection, enabling incidence estimation with <12mo MAE and robust performance
📄https://doi.org/10.1186/s12859-025-06189-y
👤EVBC: Astrid Gall
HIV-phyloTSI: subtype-independent estimation of time since HIV-1 infection for cross-sectional measures of population incidence using deep sequence data - BMC Bioinformatics
Background Estimating the time since HIV infection (TSI) at population level is essential for tracking changes in the global HIV epidemic. Most methods for determining TSI give a binary classification of infections as recent or non-recent within a window of several months, and cannot assess the cumulative impact of an intervention. Results We developed a Random Forest Regression model, HIV-phyloTSI, which combines measures of within-host diversity and divergence to generate continuous TSI estimates directly from viral deep-sequencing data, with no need for additional variables. HIV-phyloTSI provides a continuous measure of TSI up to 9 years, with a mean absolute error of less than 12 months overall and less than 5 months for infections with a TSI of up to a year. It performs equally well for all major HIV subtypes based on data from African and European cohorts. Conclusions We demonstrate how HIV-phyloTSI can be used for incidence estimates on a population level.
doi.org
evbc.bsky.social
A nationwide #HTS survey of German hopyards identified HpLV, HpMV, ApMV, ArMV and viroids HLVd and CBCVd (CBCVd confined to Hallertau), highlighting HTS as a powerful tool for #PlantPathogenSurveillance and management #PlantViromics 🧬🌾🔬
📄https://doi.org/10.1371/journal.pone.0329289
👤EVBC: Ali Pasha
Virus and viroid diversity in hops, investigating the German hop virome
Germany is worldwide one of the largest hop (Humulus lupulus L.) producers, an essential crop for the brewing industry. However, infections caused by viruses and viroids can severely impact hop yield and quality. In 2019, citrus bark cracking viroid (CBCVd) – a highly aggressive pathogen in hop – was first reported in Germany, raising concerns about its spread and prompting a broader investigation of the German hop virome.To investigate the viro-diversity in German hops, we started with a pilot study in 2021 targeting three hopyards in the Hallertau region (Bavaria), where CBCVd was previously detected. This study was expanded in 2022 and 2023 to include other main hop growing regions of Tettnang (Baden-Wuerttemberg) and Elbe-Saale (Saxony, Saxony-Anhalt, Thuringia). Leaf samples were collected from hop as well as non-hop plants inside and outside the hopyard, pooled, and proceeded for double-stranded RNAs extraction. High-throughput sequencing (HTS) was used as a diagnostic tool, followed by RT-PCR confirmation. Our analysis identified four viruses infecting hops; hop latent virus (HpLV), hop mosaic virus (HpMV), apple mosaic virus (ApMV), arabis mosaic virus (ArMV) – and two viroids; hop latent viroid (HLVd) and CBCVd. HpLV, HpMV, and HLVd were consistently found across all targeted hopyards, while CBCVd was confined to the Hallertau region. ArMV was only detected in one hopyard at one sampling timepoint. ApMV was the only virus detected in both hop and non-hop plants. Additional analysis of hop pool datasets revealed the presence of other potential hop pathogens, i.e., fungi and bacteria. The results showed a low diversity of viruses and viroids infecting hops. However, this study provides a comprehensive overview on the major viruses and viroids in German hopyards. The results may serve as a useful resource for the development of disease management strategies in hop cultivation and highlight the valuable implementation of HTS in plant pathogen surveillance.
doi.org
evbc.bsky.social
📢Join us for the next ECR #Viromics Webinar:
"Characterising novel viral proteins using protein language models (PLMs)"
‍🎙️ Kieran Lamb (@kieranlamb.bsky.social) | University of Glasgow/UK
🗓️ 8 October 2025, 4 PM CEST
📍 Online | Zoom (register for login details)
👉 coms.osu.edu/webinars/ecr...
evbc.bsky.social
ganon2 offers scalable, up-to-date #metagenomic classification with fast incremental indexing and accurate taxonomic binning, designed to keep pace with exploding public sequence repositories. #PathogenSurveillance #Bioinformatics 🚀🧬🔎
📄https://doi.org/10.1093/nargab/lqaf094
👤EVBC: Knut Reinert
doi.org
evbc.bsky.social
Targeted decontamination of #SequencingData with the #CLEANtool enhances viral #genome analysis accuracy #VirusBioinformatics #BioinformaticsTools #DataQualityControl 🧬🔬
📄https://doi.org/10.1093/nargab/lqaf105
👤EVBC: Marie Lataretu, Sebastian Krautwurst, Mike Marquet, Adrian Viehweger, Martin Hölzer
doi.org
evbc.bsky.social
Modeling #RNAstructures and RNA–protein complexes is advancing via methods capturing conformational heterogeneity and integrate experimental restraints, helpful for understanding viral RNA elements and protein interactions.
📄 https://doi.org/10.1016/j.sbi.2025.103137
👤 EVBC member: Janusz Bujnicki
Redirecting
doi.org
evbc.bsky.social
High-coverage #wastewater #sequencing with a new tiling amplicon panel reliably recovers #influenza A lineages and clinically relevant mutations, enabling mutation tracking in vaccine and antiviral targets. 🧪🦠📊
📄 https://doi.org/10.1016/j.watres.2025.124453
👤 EVBC member: Niko Beerenwinkel
Redirecting
doi.org
Reposted by European Virus Bioinformatics Center
compvirol.bsky.social
We are happy to announce the release of our new homepage:

tracir.de

Over there you can find everything about the team 🥼, our research 🔬, how to contact us 📲, and more!

Go ahead and have a look 😎

#hepE #tracir #teamscience #scicomm #hepatitis #virology #science
evbc.bsky.social
A timely perspective urges restraint in calling viral #AMGs from #metagenomes and introduces “auxiliary viral genes (#AVGs)” with a framework for making robust biological inferences. #Viromics #Bioinformatics #ViralEcology 🦠🔬🧬
📄 https://doi.org/10.1038/s41564-025-02095-4
👤 EVBC members: Simon Roux
A call for caution in the biological interpretation of viral auxiliary metabolic genes - Nature Microbiology
This Perspective discusses virus-encoded auxiliary metabolic genes and provides a framework for the biological interpretation of these genes.
doi.org
Reposted by European Virus Bioinformatics Center
infect-net.bsky.social
🇬🇧 Infect-Net Network Meeting No. 6️⃣!!!
Prof. Dr. Bettina Löffler invites infection researchers to our 6th network meeting in Jena. Immediately following the annual conference of the #DGHM.
📅 Sep 24-25, 2025
📍 Jena, Germany
🧬 Sequencing & Diagnostics
👉 www.infectnet.org/web/blog-pos...
Infect-Net :: Das Netzwerk Deutscher Infektionsforscherinnen :: Startseite
www.infectnet.org
evbc.bsky.social
Don't miss the 77th Annual Meeting of the German Society for Hygiene and Microbiology #DGHM in Jena 🦠😷! Registration is still open👍
#infections #aging #microbiomes #AntimicrobialResistance #Diagnostics #Sequencing

📅 Sep 22-24, 2025
📍 Jena, Germany
🔗 dghm-kongress.de/en/
Annual meeting of the Deutsche Gesellschaft für Hygiene und Mikrobiologie (DGHM)
dghm-kongress.de
evbc.bsky.social
📢Join us for the next ECR #Viromics Webinar:
"Chronotyping the #Ocean Virome: Fine-Scale Temporal Clustering Reveals Viral Ecological and Evolutionary Patterns"
‍🎙️Luis Bolaños Avellaneda, Exeter, UK
🗓️10 Sep 2025, 4 PM CEST
📍Online, Zoom (register for login details)
🔗 evbc.uni-jena.de/events/ecr-v...
evbc.bsky.social
📩Happy to share the EVBC Newsletter No. 96 from Sep 2025, including the 📜 newest EVBC publications, 🔧 virus bioinformatics tools, 📅 upcoming events, and 🎤 webinar announcements!
🔗 evbc.uni-jena.de/evbc-newslet...
EVBC Newsletter – EVBC
evbc.uni-jena.de
evbc.bsky.social
The SPEEDY method boosts LUHMES derived neuron yield for scalable studies of neurotropic viruses – faster and more reproducible for HSV 1, Zika, measles, and filovirus systems.
#mpox #NeuronModels #VirusBioinformatics #CellCultureAdvancement
👤EVBC: Lars Dölken
🔗
A More Rapid Method for Culturing LUHMES-Derived Neurons Provides Greater Cell Numbers and Facilitates Studies of Multiple Viruses
The ability to study mature neuronal cells ex vivo is complicated by their non-dividing nature and difficulty in obtaining large numbers of primary cells from organisms. Thus, numerous transformed progenitor models have been developed that can be routinely cultured, then scaled, and differentiated to mature neurons. In this paper, we present a new method for differentiating one such model, the Lund human mesencephalic (LUHMES) dopaminergic neurons. This method is two days faster than some established protocols, results in nearly five times greater numbers of mature neurons, and involves fewer handling steps that could introduce technical variability. Moreover, it overcomes the problem of cell aggregate formation that commonly impedes high-resolution imaging, cell dissociation, and downstream analysis. While recently established for herpes simplex virus type 1, we demonstrate that LUHMES neurons can facilitate studies of other herpesviruses, as well as RNA viruses associated with childhood encephalitis and hemorrhagic fever. This protocol provides an improvement in the generation of large-scale neuronal cultures, which may be readily applicable to other neuronal 2D cell culture models and provides a system for studying neurotrophic viruses. We named this method the Streamlined Protocol for Enhanced Expansion and Differentiation Yield, or SPEEDY, method.
doi.org
evbc.bsky.social
Bayesian method infers viral fitness landscapes from phylogenetic trees, supporting evolutionary modeling and phylodynamics research.
#Phylogenetics #BayesianInference #FitnessLandscape
👤EVBC: Niko Beerenwinkel 
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doi.org