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Transcriptome-wide survey of pseudorabies virus using next- and third-generation sequencing platforms
Dóra Tombácz1, Donald Sharon2, Attila Szűcs1
1Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged 6720, Hungary.
This study presents a comprehensive RNA-Seq dataset for Pseudorabies virus (PRV), detailing its complex transcriptome. The data enables comparison of various sequencing technologies and bioinformatics pipelines for viral research.
Area of Science:
- Virology
- Genomics
- Bioinformatics
Background:
- Pseudorabies virus (PRV) is an alphaherpesvirus impacting swine populations.
- PRV possesses a large double-stranded DNA genome with a complex transcriptome.
Purpose of the Study:
- To present a large RNA-Seq dataset for Pseudorabies virus (PRV).
- To facilitate comparison of diverse sequencing approaches and library preparation methods.
- To support validation and testing of bioinformatics pipelines for viral transcriptomics.
Main Methods:
- Utilized both short-read (Illumina) and long-read (Pacific Biosciences, Oxford Nanopore) sequencing technologies.
- Employed various library preparation methods including random-primed, polyA-seq, non-amplified, amplified, direct RNA-sequencing, and Cap-selection.
- Aligned raw sequencing reads to the PRV reference genome (KJ717942.1).
Main Results:
- Generated a substantial dataset comprising millions of short reads and tens to hundreds of thousands of long reads.
- Obtained a significant number of PRV-specific reads across different sequencing platforms and protocols.
- Successfully aligned reads to the PRV genome, providing a basis for transcriptomic analysis.
Conclusions:
- The generated dataset is a valuable resource for studying the PRV transcriptome.
- The data allows for the evaluation and comparison of different sequencing and library preparation techniques.
- This resource aids in the development and validation of computational tools for viral genomics research.
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