A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data. Issue 2 (1st October 2020)
- Record Type:
- Journal Article
- Title:
- A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data. Issue 2 (1st October 2020)
- Main Title:
- A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data
- Authors:
- Chen, Shifu
He, Changshou
Li, Yingqiang
Li, Zhicheng
Melançon, Charles E - Abstract:
- Abstract: 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 .
- Is Part Of:
- Briefings in bioinformatics. Volume 22:Issue 2(2021)
- Journal:
- Briefings in bioinformatics
- Issue:
- Volume 22:Issue 2(2021)
- Issue Display:
- Volume 22, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 22
- Issue:
- 2
- Issue Sort Value:
- 2021-0022-0002-0000
- Page Start:
- 924
- Page End:
- 935
- Publication Date:
- 2020-10-01
- Subjects:
- SARS-CoV-2 -- viruses -- microorganisms -- identification -- k-mer
Genetics -- Data processing -- Periodicals
Molecular biology -- Data processing -- Periodicals
Genomes -- Data processing -- Periodicals
572.80285 - Journal URLs:
- http://bib.oxfordjournals.org ↗
http://www.oxfordjournals.org/content?genre=journal&issn=1477-4054 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/bib/bbaa231 ↗
- Languages:
- English
- ISSNs:
- 1467-5463
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2283.958363
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- 16774.xml