VirusDetect: An automated pipeline for efficient virus discovery using deep sequencing of small RNAs.

@article{Zheng2017VirusDetectAA,
  title={VirusDetect: An automated pipeline for efficient virus discovery using deep sequencing of small RNAs.},
  author={Yi Zheng and Shan Gao and Chellappan Padmanabhan and Rugang Li and Marco Galvez and Dina L. Gutierrez and Segundo Fuentes and Kai-shu Ling and Jan F Kreuze and Zhangjun Fei},
  journal={Virology},
  year={2017},
  volume={500},
  pages={130-138}
}
Accurate detection of viruses in plants and animals is critical for agriculture production and human health. Deep sequencing and assembly of virus-derived small interfering RNAs has proven to be a highly efficient approach for virus discovery. Here we present VirusDetect, a bioinformatics pipeline that can efficiently analyze large-scale small RNA (sRNA) datasets for both known and novel virus identification. VirusDetect performs both reference-guided assemblies through aligning sRNA sequences… CONTINUE READING
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