Meta-analytic approach for transcriptome profiling of herpes simplex virus type 1

D. ra Tombácz, G. bor Torma, G. bor Gulyás, Norbert Moldován, Michael Snyder, Zsolt Boldogkői

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6 Citations (Scopus)


In this meta-analysis, we re-analysed and compared herpes simplex virus type 1 transcriptomic data generated by eight studies using various short- and long-read sequencing techniques and different library preparation methods. We identified a large number of novel mRNAs, non-coding RNAs and transcript isoforms, and validated many previously published transcripts. Here, we present the most complete HSV-1 transcriptome to date. Furthermore, we also demonstrate that various sequencing techniques, including both cDNA and direct RNA sequencing approaches, are error-prone, which can be circumvented by using integrated approaches. This work draws attention to the need for using multiple sequencing approaches and meta-analyses in transcriptome profiling studies to obtain reliable results.
Original languageEnglish
Article number223
JournalScientific Data
Issue number1
Publication statusPublished - 1 Dec 2020

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