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10.1093/bib/bbaa231

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33003197!7543257!33003197
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suck abstract from ncbi


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pmid33003197      Brief+Bioinform 2021 ; 22 (2): 924-935
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  • A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data #MMPMID33003197
  • Chen S; He C; Li Y; Li Z; Melancon CE
  • Brief Bioinform 2021[Mar]; 22 (2): 924-935 PMID33003197show ga
  • In this paper, we present a toolset and related resources for rapid identification of viruses and microorganisms from short-read or long-read sequencing data. We present fastv as an ultra-fast tool to detect microbial sequences present in sequencing data, identify target microorganisms and visualize coverage of microbial genomes. This tool is based on the k-mer mapping and extension method. K-mer sets are generated by UniqueKMER, another tool provided in this toolset. UniqueKMER can generate complete sets of unique k-mers for each genome within a large set of viral or microbial genomes. For convenience, unique k-mers for microorganisms and common viruses that afflict humans have been generated and are provided with the tools. As a lightweight tool, fastv accepts FASTQ data as input and directly outputs the results in both HTML and JSON formats. Prior to the k-mer analysis, fastv automatically performs adapter trimming, quality pruning, base correction and other preprocessing to ensure the accuracy of k-mer analysis. Specifically, fastv provides built-in support for rapid severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) identification and typing. Experimental results showed that fastv achieved 100% sensitivity and 100% specificity for detecting SARS-CoV-2 from sequencing data; and can distinguish SARS-CoV-2 from SARS, Middle East respiratory syndrome and other coronaviruses. This toolset is available at: https://github.com/OpenGene/fastv.
  • |Algorithms[MESH]
  • |Genes, Viral[MESH]
  • |SARS-CoV-2/genetics/*isolation & purification[MESH]
  • |Sequence Analysis/*methods[MESH]


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