A5077369344- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Animal Genetics and Reproduction
- Blockchain Technology Applications and Security
- Genetic Associations and Epidemiology
- Cancer-related molecular mechanisms research
- Bioinformatics and Genomic Networks
- Scientific Computing and Data Management
- Data Analysis with R
- Genetics and Plant Breeding
- Web Applications and Data Management
- Privacy-Preserving Technologies in Data
- Plant Molecular Biology Research
- Neurological Disorders and Treatments
- Ubiquitin and proteasome pathways
- Electrohydrodynamics and Fluid Dynamics
- Plant Stress Responses and Tolerance
- Peer-to-Peer Network Technologies
- Radiomics and Machine Learning in Medical Imaging
- Hand Gesture Recognition Systems
- Molecular Biology Techniques and Applications
- Structural Health Monitoring Techniques
- Plant biochemistry and biosynthesis
- Gene expression and cancer classification
- Context-Aware Activity Recognition Systems
Institute of Botany
2024-2025
China National Health Development Research Center
2025
Ningxia University
2024
Chengdu Neusoft University
2023
Minzu University of China
2023
Chengdu University
2023
Neusoft (China)
2023
Huazhong Agricultural University
2019-2022
Chuzhou University
2022
International Technological University
2019
Abstract Along with the development of high-throughput sequencing technologies, both sample size and SNP number are increasing rapidly in genome-wide association studies (GWAS), associated computation is more challenging than ever. Here, we present a memory-efficient, visualization-enhanced, parallel-accelerated R package called “rMVP” to address need for improved GWAS computation. rMVP can 1) effectively process large data, 2) evaluate population structure, 3) efficiently estimate variance...
Abstract Along with the development of high-throughout sequencing technologies, both sample size and number SNPs are increasing rapidly in Genome-Wide Association Studies (GWAS) associated computation is more challenging than ever. Here we present a Memory-efficient, Visualization-enhanced, Parallel-accelerated R package called “rMVP” to address need for improved GWAS computation. rMVP can: (1) effectively process large data; (2) evaluate population structure; (3) efficiently estimate...
Abstract The analyses of multi-omics data have revealed candidate genes for objective traits. However, they are integrated poorly, especially in non-model organisms, and pose a great challenge prioritizing follow-up experimental verification. Here, we present general convolutional neural network model that integrates information to prioritize the By applying this Sus scrofa , which is organism, but one most important livestock animals, precision was 72.9%, recall 73.5%, F1-Measure 73.4%,...
Abstract With the rapid development of cloud computing technology, how to achieve secure access data has become a current research hotspot. Attribute-based encryption technology provides feasibility above goal. However, most existing solutions have high computational and trust costs. Furthermore, fairness authorization security search can be difficult guarantee. To address these issues, we propose novel control scheme based on blockchain attribute-based searchable in environment. The...
Improvement of the growth rate is a challenge in pig industry, Average Daily Gain (ADG) and Days (AGE) to 100 kg are directly related performance. We performed genome-wide association study (GWAS) genetic parameters estimation for ADG AGE using genomic phonemic from four breed (Duroc, Yorkshire, Landrace, Pietrain) populations. All analyses were by multi-loci GWAS model, FarmCPU. The results all breeds indicate that five significant SNPs associated with ADG, nearby regions explained 4.08%...
Abstract With the exponential growth of multi-omics data, its integration and utilization have brought unprecedented opportunities for interpretation gene regulation mechanisms comprehensive analyses biological systems. IAnimal (https://ianimal.pro/), a cross-species, knowledgebase, was developed to improve massive public data simplify information mine genetic objective traits. Currently, provides 61 191 individual omics genome (WGS), transcriptome (RNA-Seq), epigenome (ChIP-Seq, ATAC-Seq)...
The U-box protein family of ubiquitin ligases is important in the biological processes plant growth, development, and biotic abiotic stress responses. Plants genus Zoysia are recognized as excellent warm-season turfgrass species with drought, wear salt tolerance. In this study, we conducted genome-wide identification (PUB) genes japonica based on domain searching. total, 71 ZjPUB were identified, a tree was constructed AtPUBs, OsPUBs, ZjPUBs, clustered into five groups. gene structures,...
Backfat thickness (BFT) and feed conversion ratio (FCR) are important commercial traits in the pig industry. With increasing demand for human health meat production, identifying functional genomic regions genes associated with these is critical enhancing production efficiency. In this research, we conducted a genome-wide association study (GWAS) on Landrace population comprising 4,295 individuals chip data BFT FCR. Our analysis revealed total of 118 significant signals located chromosomes...
Abstract Background A large number of pig breeds are distributed around the world, their features and characteristics vary among breeds, they valuable resources. Understanding underlying genetic mechanisms that explain across-breed variation can help breeders develop improved breeds. Results In this study, we performed GWAS using a standard mixed linear model with three types genome variants (SNP, InDel, CNV) were identified from public, whole-genome, sequencing data sets. We used 469 pigs...
A speed estimation method using the acceleration data measured by a wearable device during exercising on treadmill is described in this paper. The moving estimated regression algorithm that implements deep convolutional neural network (CNN) model. This model trained set of test speeds for walking and running conditions. mean square error between inferred minimized training to optimize internal parameters. inference shown be accurate within 7% 18% actual speeds, respectively. CNN parameters,...
In order to solve the problem of insufficiency in laboratory teaching management colleges and universities, model architecture lab based on UML is set up. The application modeling studied. A system requirement model, object structure behavior using ROSE are built With further use SSH frame SQL Sever 2005 software, this experiment produced.