PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses.

PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses.
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PACIFIC:SARS-CoV-2和共感染RNA病毒的轻量级深度学习分类器。

DOI:
10.1038/s41598-021-82043-4
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发表时间:
2021-02-05
期刊:
影响因子:
4.6
通讯作者:
Patel HR
Patel HR
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Acera Mateos P;Balboa RF;Easteal S;Eyras E;Patel HR

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COVID-19 患者会发生病毒合并感染,可能会影响疾病的进展和严重程度。然而,目前还没有专门的方法来识别患者 RNA-seq 数据中的病毒合并感染。我们开发了 PACIFIC,这是一种深度学习算法,可以从 RNA-seq 数据中准确检测 SARS-CoV-2 和其他常见的 RNA 呼吸道病毒。利用计算机数据,PACIFIC 以 99% 以上的精确度和召回率恢复病毒的存在和相对浓度。 PACIFIC 在 63 个独立的体外细胞培养物和患者数据集中准确检测 SARS-CoV-2 和其他病毒感染。 PACIFIC 是一种端到端工具,可以对当前全球大流行中的病毒感染进行系统监测。
Viral co-infections occur in COVID-19 patients, potentially impacting disease progression and severity. However, there is currently no dedicated method to identify viral co-infections in patient RNA-seq data. We developed PACIFIC, a deep-learning algorithm that accurately detects SARS-CoV-2 and other common RNA respiratory viruses from RNA-seq data. Using in silico data, PACIFIC recovers the presence and relative concentrations of viruses with > 99% precision and recall. PACIFIC accurately detects SARS-CoV-2 and other viral infections in 63 independent in vitro cell culture and patient datasets. PACIFIC is an end-to-end tool that enables the systematic monitoring of viral infections in the current global pandemic.
DOI: 10.1186/s12859-018-2340-x
发表时间: 2018-09-24
期刊: BMC bioinformatics
影响因子: 3
作者:
Bzhalava Z;Tampuu A;Bała P;Vicente R;Dillner J
通讯作者: Dillner J
DOI: 10.1093/nar/gkv1276
发表时间: 2016-01-04
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DOI: 10.1186/s13059-018-1568-0
发表时间: 2018-11-16
期刊: Genome biology
影响因子: 12.3
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DOI: 10.2217/fvl.13.85
发表时间: 2013-10-01
期刊: FUTURE VIROLOGY
影响因子: 3.1
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通讯作者: Hayden, Frederick G.