Traditional reliability evaluation method for corroded pipeline exists the problem of not considering the associated defects.We therefore propose a new calculation method considering the associated defects.In this pap...Traditional reliability evaluation method for corroded pipeline exists the problem of not considering the associated defects.We therefore propose a new calculation method considering the associated defects.In this paper,the traditional and new methods are respectively used to calculate and contrastively analyze the failure probability of corroded pipeline;we then perform the research of residual life prediction for the corroded pipeline,followed by the sensitivity calculation of all random evaluation parameters.And then the Monte Carlo method(MCS)is applied to verify the rationality of the new method.The research results show that:the method considering associated defect is more objective,and truly react corroded pipeline's dynamic reliability changes;obtain new method to predict residual life of corroded pipeline;corrosion depth,radial corrosion rate have a significant impact on reliability of corroded pipeline considering associated defects.The calculation results of the method are more accurate,more time-saving.展开更多
Interactions between chromatin segments play a large role in functional genomic assays and developments in genomic interaction detection methods have shown interacting topological domains within the genome. Among thes...Interactions between chromatin segments play a large role in functional genomic assays and developments in genomic interaction detection methods have shown interacting topological domains within the genome. Among these methods, Hi-C plays a key role. Here, we present the Genome Interaction Tools and Resources(GITAR), a software to perform a comprehensive Hi-C data analysis, including data preprocessing, normalization, and visualization, as well as analysis of topologically-associated domains(TADs). GITAR is composed of two main modules:(1)HiCtool, a Python library to process and visualize Hi-C data, including TAD analysis; and(2)processed data library, a large collection of human and mouse datasets processed using HiCtool.HiCtool leads the user step-by-step through a pipeline, which goes from the raw Hi-C data to the computation, visualization, and optimized storage of intra-chromosomal contact matrices and TAD coordinates. A large collection of standardized processed data allows the users to compare different datasets in a consistent way, while saving time to obtain data for visualization or additional analyses. More importantly, GITAR enables users without any programming or bioinformatic expertise to work with Hi-C data. GITAR is publicly available at http://genomegitar.org as an open-source software.展开更多
文摘Traditional reliability evaluation method for corroded pipeline exists the problem of not considering the associated defects.We therefore propose a new calculation method considering the associated defects.In this paper,the traditional and new methods are respectively used to calculate and contrastively analyze the failure probability of corroded pipeline;we then perform the research of residual life prediction for the corroded pipeline,followed by the sensitivity calculation of all random evaluation parameters.And then the Monte Carlo method(MCS)is applied to verify the rationality of the new method.The research results show that:the method considering associated defect is more objective,and truly react corroded pipeline's dynamic reliability changes;obtain new method to predict residual life of corroded pipeline;corrosion depth,radial corrosion rate have a significant impact on reliability of corroded pipeline considering associated defects.The calculation results of the method are more accurate,more time-saving.
基金supported by the National Institutes of Health,United States(Grant Nos.U01CA200147 and DP1HD087990)awarded to SZ
文摘Interactions between chromatin segments play a large role in functional genomic assays and developments in genomic interaction detection methods have shown interacting topological domains within the genome. Among these methods, Hi-C plays a key role. Here, we present the Genome Interaction Tools and Resources(GITAR), a software to perform a comprehensive Hi-C data analysis, including data preprocessing, normalization, and visualization, as well as analysis of topologically-associated domains(TADs). GITAR is composed of two main modules:(1)HiCtool, a Python library to process and visualize Hi-C data, including TAD analysis; and(2)processed data library, a large collection of human and mouse datasets processed using HiCtool.HiCtool leads the user step-by-step through a pipeline, which goes from the raw Hi-C data to the computation, visualization, and optimized storage of intra-chromosomal contact matrices and TAD coordinates. A large collection of standardized processed data allows the users to compare different datasets in a consistent way, while saving time to obtain data for visualization or additional analyses. More importantly, GITAR enables users without any programming or bioinformatic expertise to work with Hi-C data. GITAR is publicly available at http://genomegitar.org as an open-source software.
