Gábor Máté Gulyás

This study compares full-length ONT 16S and shotgun metagenomics in canine fecal samples, finding high functional concordance but lower taxonomic agreement, with host-specific references improving taxonomic consistency.

The paper profiles gut microbiota changes in astronauts during short-duration spaceflight and finds individualized, temporally localized shifts rather than uniform restructuring.

This study tracks the maturation of the canine gut microbiome through early life, showing it follows an age-diet trajectory but remains constrained by host-specific factors.

This study uses longitudinal long-read 16S rRNA sequencing in dogs to show how age, diet, and birth mode shape gut microbiome development, revealing structured transitions and delivery-mode effects.

This study evaluates how DNA extraction, primer selection, and sequencing platforms affect canine gut microbiome profiling by generating a large, standardized dataset for benchmarking bioinformatics pipelines.

This study compares gut metagenomic profiling strategies across multiple stages and introduces an optimized pipeline and software tool for reliable and comparable results.

This study uses CAGE and long-read RNA sequencing to analyze the transcriptional architecture of human monkeypox virus, identifying alternative TSSs, TESs, promoter elements, and novel genes.

The paper describes open data sharing, analysis tools, and lessons learned from the European COVID-19 Data Platform's SARS-CoV-2 data collection and analysis efforts.

The paper uses long-read sequencing to identify novel Ori-proximal transcripts in herpesviruses, revealing regulatory complexity in DNA replication and transcription.

This study uses high-temporal-resolution nanopore sequencing to analyze SARS-CoV-2 and host cell transcriptomes at high coverage with a high virus titer.

This study profiles the dynamic lytic transcriptome of BoHV-1 using long-read sequencing and assesses its impact on the host cell transcriptome, revealing complex transcriptional overlaps and upregulated antiviral and viral genes.

The paper reanalyzes an HSV-1 transcriptome dataset using multiplatform and meta-analytic approaches to highlight the necessity of such methods for reliable transcriptome profiling.

This study uses long-read sequencing to characterize the HSV-1 lytic transcriptome, identifying over 160 new transcripts and revealing complex transcriptional overlaps and novel features.