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A machine learning-based service for estimating quality of genomes using PATRIC.基于机器学习的 PATRIC 基因组质量估算服务。
BMC Bioinformatics. 2019 Oct 3;20(1):486. doi: 10.1186/s12859-019-3068-y.
2
Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates.通过在分离株集合中使用抗生素耐药基因型-表型相关性来验证 AMRFinder 工具和耐药基因数据库。
Antimicrob Agents Chemother. 2019 Oct 22;63(11). doi: 10.1128/AAC.00483-19. Print 2019 Nov.
3
VFDB 2019: a comparative pathogenomic platform with an interactive web interface.VFDB 2019:一个具有交互式网络界面的比较病原体基因组学平台。
Nucleic Acids Res. 2019 Jan 8;47(D1):D687-D692. doi: 10.1093/nar/gky1080.
4
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal .使用机器学习预测非伤寒沙门氏菌的抗菌 MIC 值和相关基因组特征。
J Clin Microbiol. 2019 Jan 30;57(2). doi: 10.1128/JCM.01260-18. Print 2019 Feb.
5
Rapid and precise alignment of raw reads against redundant databases with KMA.使用 KMA 实现原始读取与冗余数据库的快速精确比对。
BMC Bioinformatics. 2018 Aug 29;19(1):307. doi: 10.1186/s12859-018-2336-6.
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Scaling read aligners to hundreds of threads on general-purpose processors.在通用处理器上将读取对齐器扩展到数百个线程。
Bioinformatics. 2019 Feb 1;35(3):421-432. doi: 10.1093/bioinformatics/bty648.
7
Minimap2: pairwise alignment for nucleotide sequences.Minimap2:核苷酸序列的两两比对。
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Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae.开发一种用于肺炎克雷伯菌的计算机模拟最小抑菌浓度检测板试验。
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Methods Mol Biol. 2018;1681:231-238. doi: 10.1007/978-1-4939-7343-9_17.
10
RefSeq: an update on prokaryotic genome annotation and curation.RefSeq:原核生物基因组注释和管理的最新进展。
Nucleic Acids Res. 2018 Jan 4;46(D1):D851-D860. doi: 10.1093/nar/gkx1068.

PATRIC 生物信息学资源中心:扩展数据和分析功能。

The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities.

机构信息

University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, USA.

Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, USA.

出版信息

Nucleic Acids Res. 2020 Jan 8;48(D1):D606-D612. doi: 10.1093/nar/gkz943.

DOI:10.1093/nar/gkz943
PMID:31667520
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7145515/
Abstract

The PathoSystems Resource Integration Center (PATRIC) is the bacterial Bioinformatics Resource Center funded by the National Institute of Allergy and Infectious Diseases (https://www.patricbrc.org). PATRIC supports bioinformatic analyses of all bacteria with a special emphasis on pathogens, offering a rich comparative analysis environment that provides users with access to over 250 000 uniformly annotated and publicly available genomes with curated metadata. PATRIC offers web-based visualization and comparative analysis tools, a private workspace in which users can analyze their own data in the context of the public collections, services that streamline complex bioinformatic workflows and command-line tools for bulk data analysis. Over the past several years, as genomic and other omics-related experiments have become more cost-effective and widespread, we have observed considerable growth in the usage of and demand for easy-to-use, publicly available bioinformatic tools and services. Here we report the recent updates to the PATRIC resource, including new web-based comparative analysis tools, eight new services and the release of a command-line interface to access, query and analyze data.

摘要

病原体系统资源整合中心(PATRIC)是由美国国家过敏和传染病研究所(National Institute of Allergy and Infectious Diseases)资助的细菌生物信息学资源中心(https://www.patricbrc.org)。PATRIC 支持对所有细菌进行生物信息学分析,特别关注病原体,提供了丰富的比较分析环境,使用户能够访问超过 25 万种经过统一注释和公开可用的基因组,并附有经过策展的元数据。PATRIC 提供基于网络的可视化和比较分析工具、一个私人工作区,用户可以在公共数据集的上下文中分析自己的数据,还提供简化复杂生物信息学工作流程的服务以及用于批量数据分析的命令行工具。在过去几年中,随着基因组和其他组学相关实验变得更加经济实惠且普及,我们观察到对易于使用的、公开可用的生物信息学工具和服务的使用和需求有了显著增长。在这里,我们报告了 PATRIC 资源的最新更新,包括新的基于网络的比较分析工具、八项新服务以及发布了一个命令行界面,用于访问、查询和分析数据。