Slow speed of the Next-Generation sequencing data analysis, compared to the latest high throughput sequencers such as HiSeq X system, using the current industry standard genome analysis pipeline, has been the major fa...Slow speed of the Next-Generation sequencing data analysis, compared to the latest high throughput sequencers such as HiSeq X system, using the current industry standard genome analysis pipeline, has been the major factor of data backlog which limits the real-time use of genomic data for precision medicine. This study demonstrates the DRAGEN Bio-IT Processor as a potential candidate to remove the “Big Data Bottleneck”. DRAGENTM accomplished the variant calling, for ~40× coverage WGS data in as low as ~30 minutes using a single command, achieving the over 50-fold data analysis speed while maintaining the similar or better variant calling accuracy than the standard GATK Best Practices workflow. This systematic comparison provides the faster and efficient NGS data analysis alternative to NGS-based healthcare industries and research institutes to meet the requirement for precision medicine based healthcare.展开更多
Graphics processors have received an increasing attention with the growing demand for gaming,video streaming,and many other applications.During the graphics rendering with OpenGL,host CPU needs the runtime attributes ...Graphics processors have received an increasing attention with the growing demand for gaming,video streaming,and many other applications.During the graphics rendering with OpenGL,host CPU needs the runtime attributes to move on to the next procedure of rendering,which covers almost all the function units of graphics pipeline.Current methods suffer from the memory capacity issues to hold the variables or huge amount of data parsing paths which can cause congestion on the interface between graphics processor and host CPU.This paper refers to the operation principle of commuting bus,and proposes a bus-like data feedback mechanism(BFM)to traverse all the pipeline stages and collect the run-time status data or execution error of graphics rendering,then send them back to the host CPU.BFM can work in parallel with the graphics rendering logic.This method can complete the data feedback ta.sk easily with only 0.6%increase of resource utilization and has no negative impact on performance,which also obtains 1.3 times speed enhancement compared with a traditional approach.展开更多
With a view to adopting to the globalized business landscape,organizations rely on third-party business relationships to enhance their operations,expand their capabilities,and drive innovation.While these collaboratio...With a view to adopting to the globalized business landscape,organizations rely on third-party business relationships to enhance their operations,expand their capabilities,and drive innovation.While these collaborations offer numerous benefits,they also introduce a range of risks that organizations must carefully mitigate.If the obligation to meet the regulatory requirements is added to the equation,mitigating the third-party risk related to data governance,becomes one of the biggest challenges.展开更多
The processing of personal data gives a rise to many privacy concerns,and one of them is to ensure the transpar-ency of data processing to end users.Usually this information is communicated to them using privacy polic...The processing of personal data gives a rise to many privacy concerns,and one of them is to ensure the transpar-ency of data processing to end users.Usually this information is communicated to them using privacy policies.In this paper,the problem of user notifcation in case of data breaches and policy changes is addressed,besides an ontol-ogy-based approach to model them is proposed.To specify the ontology concepts and properties,the requirements and recommendations for the legislative regulations as well as existing privacy policies are evaluated.A set of SPARQL queries to validate the correctness and completeness of the proposed ontology are developed.The proposed approach is applied to evaluate the privacy policies designed by cloud computing providers and IoT device manu-facturers.The results of the analysis show that the transparency of user notifcation scenarios presented in the privacy policies is still very low,and the companies should reconsider the notifcation mechanisms and provide more detailed information in privacy policies.展开更多
文摘Slow speed of the Next-Generation sequencing data analysis, compared to the latest high throughput sequencers such as HiSeq X system, using the current industry standard genome analysis pipeline, has been the major factor of data backlog which limits the real-time use of genomic data for precision medicine. This study demonstrates the DRAGEN Bio-IT Processor as a potential candidate to remove the “Big Data Bottleneck”. DRAGENTM accomplished the variant calling, for ~40× coverage WGS data in as low as ~30 minutes using a single command, achieving the over 50-fold data analysis speed while maintaining the similar or better variant calling accuracy than the standard GATK Best Practices workflow. This systematic comparison provides the faster and efficient NGS data analysis alternative to NGS-based healthcare industries and research institutes to meet the requirement for precision medicine based healthcare.
基金the National Natural Science Foundation of China(Nos.61834005,61772417,61602377,61802304 and 61874087)the International Science and Technology Cooperation Program of Shaanxi China(No.2018KW-006)。
文摘Graphics processors have received an increasing attention with the growing demand for gaming,video streaming,and many other applications.During the graphics rendering with OpenGL,host CPU needs the runtime attributes to move on to the next procedure of rendering,which covers almost all the function units of graphics pipeline.Current methods suffer from the memory capacity issues to hold the variables or huge amount of data parsing paths which can cause congestion on the interface between graphics processor and host CPU.This paper refers to the operation principle of commuting bus,and proposes a bus-like data feedback mechanism(BFM)to traverse all the pipeline stages and collect the run-time status data or execution error of graphics rendering,then send them back to the host CPU.BFM can work in parallel with the graphics rendering logic.This method can complete the data feedback ta.sk easily with only 0.6%increase of resource utilization and has no negative impact on performance,which also obtains 1.3 times speed enhancement compared with a traditional approach.
文摘With a view to adopting to the globalized business landscape,organizations rely on third-party business relationships to enhance their operations,expand their capabilities,and drive innovation.While these collaborations offer numerous benefits,they also introduce a range of risks that organizations must carefully mitigate.If the obligation to meet the regulatory requirements is added to the equation,mitigating the third-party risk related to data governance,becomes one of the biggest challenges.
文摘The processing of personal data gives a rise to many privacy concerns,and one of them is to ensure the transpar-ency of data processing to end users.Usually this information is communicated to them using privacy policies.In this paper,the problem of user notifcation in case of data breaches and policy changes is addressed,besides an ontol-ogy-based approach to model them is proposed.To specify the ontology concepts and properties,the requirements and recommendations for the legislative regulations as well as existing privacy policies are evaluated.A set of SPARQL queries to validate the correctness and completeness of the proposed ontology are developed.The proposed approach is applied to evaluate the privacy policies designed by cloud computing providers and IoT device manu-facturers.The results of the analysis show that the transparency of user notifcation scenarios presented in the privacy policies is still very low,and the companies should reconsider the notifcation mechanisms and provide more detailed information in privacy policies.
