An intra-host SARS-CoV-2 dynamics model to assess testing and quarantine strategies for incoming travelers, contact management, and de-isolation [0.03%]
一个用于评估入境旅客检测和隔离、接触者管理以及解除隔离的冠状病毒宿主动态模型
Wiep van der Toorn,Djin-Ye Oh,Daniel Bourquain et al.
Wiep van der Toorn et al.
Non-pharmaceutical interventions (NPIs) remain decisive tools to contain SARS-CoV-2. Strategies that combine NPIs with testing may improve efficacy and shorten quarantine durations. We developed a stochastic within-host model of SARS-CoV-2 ...
Sharlee Climer
Sharlee Climer
The conundrums of choosing candidate genes, via differential expression between treated and mock specimens, are tackled by Ghandikota et al. in this issue of Patterns in their efforts to tease out genetic patterns that are characteristic of...
Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2 [0.03%]
基于网络的学习揭示生物结构的复杂性：在SARS-CoV-2中的应用
Faraz Faghri,Mike A Nalls
Faraz Faghri
Network-based learning enables the identification of possible undiscovered interactions in biological systems. In this issue of Patterns, Du et al. show that applying these methods to severe acute respiratory syndrome coronavirus 2 (SARS-Co...
Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19 [0.03%]
二次分析SARS-CoV-2感染模型的转录组以表征COVID-19
Sudhir Ghandikota,Mihika Sharma,Anil G Jegga
Sudhir Ghandikota
Standard transcriptomic analyses alone have limited power in capturing the molecular mechanisms driving disease pathophysiology and outcomes. To overcome this, unsupervised network analyses are used to identify clusters of genes that can be...
Network-based virus-host interaction prediction with application to SARS-CoV-2 [0.03%]
基于网络的病毒宿主互作预测及其在SARS-CoV-2中的应用
Hangyu Du,Feng Chen,Hongfu Liu et al.
Hangyu Du et al.
COVID-19, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has quickly become a global health crisis since the first report of infection in December of 2019. However, the infection spectrum of SARS-CoV-2 and its compr...
Sarah Callaghan
Sarah Callaghan
Daniel S Katz,Morane Gruenpeter,Tom Honeyman
Daniel S Katz
Software is increasingly essential in most research, and much of this software is developed specifically for and during research. To make this research software findable, accessible, interoperable, and reusable (FAIR), we need to define exa...
Toward machine learning-enhanced high-throughput experimentation for chemistry [0.03%]
机器学习增强的高通量实验在化学领域的应用展望
Sarah Callaghan
Sarah Callaghan
High-throughput experimentation in chemistry allows for quick and automated exploration of chemical space to, for example, discover new drugs. Combining machine learning techniques with high-throughput experimentation has the potential to s...
Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics [0.03%]
安全的蓝区：长期抗疫中虚拟安全病毒传播的可行性探讨
Raj Dandekar,Shane G Henderson,Hermanus M Jansen et al.
Raj Dandekar et al.
Viral spread is a complicated function of biological properties, the environment, preventative measures such as sanitation and masks, and the rate at which individuals come within physical proximity. It is these last two elements that gover...
Appyters: Turning Jupyter Notebooks into data-driven web apps [0.03%]
将Jupyter Notebook转化为数据驱动型网页应用程序
Daniel J B Clarke,Minji Jeon,Daniel J Stein et al.
Daniel J B Clarke et al.
Jupyter Notebooks have transformed the communication of data analysis pipelines by facilitating a modular structure that brings together code, markdown text, and interactive visualizations. Here, we extended Jupyter Notebooks to broaden the...