Evidence map›Paper›PMID 33003197›Full record

ArticleBriefings in bioinformatics2021

A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data.

Shifu Chen, Changshou He, Yingqiang Li, Zhicheng Li, Charles E Melançon

Open access · bronzeAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 51 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Shifu ChenShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He also serves as chief technology officer of HaploX Biotechnology. He is the initiator of OpenGene projects and a contributor to many open source tools.
Changshou Hedepartment of bioinformatics, HaploX Biotechnology.
Yingqiang Lidepartment of bioinformatics, HaploX Biotechnology.
Zhicheng LiShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research interests lie mainly in imaging genomics.
Charles E Melançondepartment of research and development, HaploX Biotechnology. His research interests lie mainly in next-generation sequencing and bioinformatics.
Mellanox Technologies (Israel) · ILShenzhen Institutes of Advanced Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AlgorithmsGenes, ViralSARS-CoV-2Sequence AnalysisVirusesidentificationk-mermicroorganismsSARS-CoV-2viruses

Identifiers

PMID33003197
PMCPMC7543257
OpenAlexW3091035263

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.