A5024971176- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Research in Cotton Cultivation
- Plant-Microbe Interactions and Immunity
- RNA and protein synthesis mechanisms
- Molecular Biology Techniques and Applications
- Genomics and Phylogenetic Studies
- Fungal and yeast genetics research
- Plant Pathogens and Fungal Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Plant Reproductive Biology
- Plant Physiology and Cultivation Studies
- Evolution and Genetic Dynamics
- Lipoproteins and Cardiovascular Health
- Plant tissue culture and regeneration
- Plant Virus Research Studies
- CRISPR and Genetic Engineering
- Plant Molecular Biology Research
- Nematode management and characterization studies
- Protein Structure and Dynamics
- Horticultural and Viticultural Research
- Plant Genetic and Mutation Studies
- Banana Cultivation and Research
- Air Quality and Health Impacts
- Vehicle emissions and performance
Shanghai East Hospital
2023-2024
Cotton Research Institute
2017-2024
Chinese Academy of Agricultural Sciences
2013-2024
Beijing University of Chinese Medicine
2024
Tsinghua University
2014-2024
Anhui Polytechnic University
2021-2024
State Key Joint Laboratory of Environment Simulation and Pollution Control
2020-2024
Henan Provincial People's Hospital
2024
Hunan Agricultural University
2024
Tongji University
2023
Abstract Summary Structural and physiochemical descriptors extracted from sequence data have been widely used to represent sequences predict structural, functional, expression interaction profiles of proteins peptides as well DNAs/RNAs. Here, we present iFeature, a versatile Python-based toolkit for generating various numerical feature representation schemes both protein peptide sequences. iFeature is capable calculating extracting comprehensive spectrum 18 major encoding that encompass 53...
Abstract With the explosive growth of biological sequences generated in post-genomic era, one most challenging problems bioinformatics and computational biology is to computationally characterize sequences, structures functions an efficient, accurate high-throughput manner. A number online web servers stand-alone tools have been developed address this date; however, all these their limitations drawbacks terms effectiveness, user-friendliness capacity. Here, we present iLearn, a comprehensive...
Abstract Peach ( Prunus persica L.) is a highly valuable crop species and recognized by molecular researchers as model fruit for the Rosaceae family. Using whole-genome sequencing data generated from 129 peach accessions, here we perform comprehensive genome-wide association study 12 key agronomic traits. We show that among 10 qualitative traits investigated, nine exhibit consistent more precise signals than previously identified linkage analysis. For two of traits, describe candidate genes,...
Abstract Sequence-based analysis and prediction are fundamental bioinformatic tasks that facilitate understanding of the sequence(-structure)-function paradigm for DNAs, RNAs proteins. Rapid accumulation sequences requires equally pervasive development new predictive models, which depends on availability effective tools support these efforts. We introduce iLearnPlus, first machine-learning platform with graphical- web-based interfaces construction pipelines predictions using nucleic acid...
Objective— Next-generation sequencing technology is transforming our understanding of heterozygous familial hypercholesterolemia, including revision prevalence estimates and attribution polygenic effects. Here, we examined the contributions monogenic factors in patients with severe hypercholesterolemia referred to a specialty clinic. Approach Results— We applied targeted next-generation custom annotation, coupled evaluation large-scale copy number variation scores for raised low-density...
Human selection has a long history of transforming crop genomes. Peach (Prunus persica) undergone more than 5000 years domestication that led to remarkable changes in series agronomically important traits, but genetic bases underlying these and the effects artificial on genomic diversity are not well understood.Here, we report comprehensive analysis peach evolution based genome sequences 480 wild cultivated accessions. By focusing set quantitative trait loci (QTLs), provide evidence...
Abstract Background Recently, many studies utilizing next generation sequencing have investigated plant evolution and domestication in annual crops. Peach, Prunus persica , is a typical perennial fruit crop that has ornamental edible varieties. Unlike other crops, cultivated peach includes large number of phenotypes but few polymorphisms. In this study, we explore the genetic basis influence humans on its evolution. Results We perform large-scale resequencing 10 wild 74 varieties, including...
Abstract The rapid accumulation of molecular data motivates development innovative approaches to computationally characterize sequences, structures and functions biological chemical molecules in an efficient, accessible accurate manner. Notwithstanding several computational tools that protein or nucleic acids data, there are no one-stop toolkits comprehensively a wide range biomolecules. We address this vital need by developing holistic platform generates features from sequence structural...
The contribution of hepatitis B virus (HBV) and C (HCV) to primary liver cancer (PLC) their association with aggressiveness remains uncertain in China, a country half global PLC. We aimed characterize this using data from four representative medical centers.In total, 15,801 PLC patients were enrolled the centers distributed Easter5n, Southern, Northern, Western China 2003 2020. Of those, 7585 curative surgery involved survival analysis. A nomogram was constructed preoperative parameters...
Natural biomass is used for facile synthesis of carbon quantum dots (CQDs) with high fluorescence, owing to its abundance, low cost, and eco-friendliness. In this study, a bottom-up hydrothermal method was prepare CQDs from water hyacinth (wh) at constant temperature 180 °C 12 h. The synthesized wh-CQDs had uniform size, amorphous graphite structure, solubility (containing multiple hydroxyl carboxyl groups on the surface), excitation light-dependent characteristics, photostability. results...
Based on recent advances in nanoscience, data science and the availability of massive real-world datastreams, mesoscopic evolution energy materials can now be more fully studied. The temporal is vastly complex time length scales fundamentally challenging to scientific understanding degradation mechanisms pathways responsible for over lifetime. We propose a paradigm shift towards modeling, based physical statistical models, that would integrate laboratory studies datastreams into...
Abstract During the jointing stage, frost resistance of young ears (FRYE) was tested each day for main stem, and also first, second third tillers wheat cultivars Jinmai 47 Jing 411. At same time, developmental progression (DPYE) four shoots recorded day. In both cultivars, FRYE decreased as development advanced through stage. dropped off particularly sharply at point when anther connective tissue formation phase (ACFP) started. Shoots developing later, though with lower levels soluble sugar,...