The genome-wide association study(GWAS)aims to detect associations between individual single nucleotide polymorphisms(SNPs)or SNP interactions and phenotypes to decipher the genetic mechanism.Existing GWAS analysis to...The genome-wide association study(GWAS)aims to detect associations between individual single nucleotide polymorphisms(SNPs)or SNP interactions and phenotypes to decipher the genetic mechanism.Existing GWAS analysis tools have different focuses and advantages,but suffer a series of tedious and heterogeneous configurations for computation.It is inconvenient for researchers to simply choose and apply these tools,statistically and biologically analyze their results for different usages.To address these issues,we develop a user friendly web pipeline GWASTool for detecting associations,which includes simulation data generation,associated loci detection,result visualization,analysis and comparison.GWASTool provides a unified and plugin-able framework to encapsulate the heterogeneity of GWAS algorithms,simplifies the analysis steps and energizes GWAS tasks.GWASTool is implemented in Java and is freely available for public use at http://wwW.sdu-idea.cn/GWASTool.The website hosts a comprehensive collection of resources,including a user manual,description of integrated algorithms,data examples and standalone version for download.展开更多
The sixth generation(6G)of mobile communication system is witnessing a new paradigm shift,i.e.,integrated sensing-communication system.A comprehensive dataset is a prerequisite for 6G integrated sensing-communication ...The sixth generation(6G)of mobile communication system is witnessing a new paradigm shift,i.e.,integrated sensing-communication system.A comprehensive dataset is a prerequisite for 6G integrated sensing-communication research.This paper develops a novel simulation dataset,named M3SC,for mixed multi-modal(MMM)sensing-communication integration,and the generation framework of the M3SC dataset is further given.To obtain multimodal sensory data in physical space and communication data in electromagnetic space,we utilize Air-Sim and WaveFarer to collect multi-modal sensory data and exploit Wireless InSite to collect communication data.Furthermore,the in-depth integration and precise alignment of AirSim,WaveFarer,andWireless InSite are achieved.The M3SC dataset covers various weather conditions,multiplex frequency bands,and different times of the day.Currently,the M3SC dataset contains 1500 snapshots,including 80 RGB images,160 depth maps,80 LiDAR point clouds,256 sets of mmWave waveforms with 8 radar point clouds,and 72 channel impulse response(CIR)matrices per snapshot,thus totaling 120,000 RGB images,240,000 depth maps,120,000 LiDAR point clouds,384,000 sets of mmWave waveforms with 12,000 radar point clouds,and 108,000 CIR matrices.The data processing result presents the multi-modal sensory information and communication channel statistical properties.Finally,the MMM sensing-communication application,which can be supported by the M3SC dataset,is discussed.展开更多
基金the National Natural Science Foundation of China(62031003 and 62072380)Shandong Provincial Key Research and Development Program(2021CXGC010506).
文摘The genome-wide association study(GWAS)aims to detect associations between individual single nucleotide polymorphisms(SNPs)or SNP interactions and phenotypes to decipher the genetic mechanism.Existing GWAS analysis tools have different focuses and advantages,but suffer a series of tedious and heterogeneous configurations for computation.It is inconvenient for researchers to simply choose and apply these tools,statistically and biologically analyze their results for different usages.To address these issues,we develop a user friendly web pipeline GWASTool for detecting associations,which includes simulation data generation,associated loci detection,result visualization,analysis and comparison.GWASTool provides a unified and plugin-able framework to encapsulate the heterogeneity of GWAS algorithms,simplifies the analysis steps and energizes GWAS tasks.GWASTool is implemented in Java and is freely available for public use at http://wwW.sdu-idea.cn/GWASTool.The website hosts a comprehensive collection of resources,including a user manual,description of integrated algorithms,data examples and standalone version for download.
基金This work was supported in part by the Ministry National Key Research and Development Project(Grant No.2020AAA0108101)the National Natural Science Foundation of China(Grants No.62125101,62341101,62001018,and 62301011)+1 种基金Shandong Natural Science Foundation(Grant No.ZR2023YQ058)the New Cornerstone Science Foundation through the XPLORER PRIZE.The authors would like to thank Mengyuan Lu and Zengrui Han for their help in the construction of electromagnetic space in Wireless InSite simulation platform and Weibo Wen,Qi Duan,and Yong Yu for their help in the construction of phys ical space in AirSim simulation platform.
文摘The sixth generation(6G)of mobile communication system is witnessing a new paradigm shift,i.e.,integrated sensing-communication system.A comprehensive dataset is a prerequisite for 6G integrated sensing-communication research.This paper develops a novel simulation dataset,named M3SC,for mixed multi-modal(MMM)sensing-communication integration,and the generation framework of the M3SC dataset is further given.To obtain multimodal sensory data in physical space and communication data in electromagnetic space,we utilize Air-Sim and WaveFarer to collect multi-modal sensory data and exploit Wireless InSite to collect communication data.Furthermore,the in-depth integration and precise alignment of AirSim,WaveFarer,andWireless InSite are achieved.The M3SC dataset covers various weather conditions,multiplex frequency bands,and different times of the day.Currently,the M3SC dataset contains 1500 snapshots,including 80 RGB images,160 depth maps,80 LiDAR point clouds,256 sets of mmWave waveforms with 8 radar point clouds,and 72 channel impulse response(CIR)matrices per snapshot,thus totaling 120,000 RGB images,240,000 depth maps,120,000 LiDAR point clouds,384,000 sets of mmWave waveforms with 12,000 radar point clouds,and 108,000 CIR matrices.The data processing result presents the multi-modal sensory information and communication channel statistical properties.Finally,the MMM sensing-communication application,which can be supported by the M3SC dataset,is discussed.