Publication | Open Access
Enhanced methods for unbiased deep sequencing of Lassa and Ebola RNA viruses from clinical and biological samples
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Citations
40
References
2014
Year
EngineeringRibosomal RnaViral DiagnosticsEbola Virus GenomesHigh Throughput SequencingViral EvolutionVirus PhylogenyVirus GeneEbola RnaNeurovirologyEnhanced MethodsVirologyEbola VirusSequencingBioinformaticsUnbiased Deep SequencingNext-generation SequencingComputational BiologyMicrobiologySystems BiologyMedicine
We have developed a robust RNA sequencing method for generating complete de novo assemblies with intra-host variant calls of Lassa and Ebola virus genomes in clinical and biological samples. Our method uses targeted RNase H-based digestion to remove contaminating poly(rA) carrier and ribosomal RNA. This depletion step improves both the quality of data and quantity of informative reads in unbiased total RNA sequencing libraries. We have also developed a hybrid-selection protocol to further enrich the viral content of sequencing libraries. These protocols have enabled rapid deep sequencing of both Lassa and Ebola virus and are broadly applicable to other viral genomics studies.
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