Yao Guocai

ORCID: 0000-0002-9869-5124
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About
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Research Areas
  • Wheat and Barley Genetics and Pathology
  • Crop Yield and Soil Fertility
  • Evaluation and Optimization Models
  • Genomics and Phylogenetic Studies
  • Environmental and Agricultural Sciences
  • Agricultural Science and Fertilization
  • Rice Cultivation and Yield Improvement
  • Advanced Decision-Making Techniques
  • RNA modifications and cancer
  • Gut microbiota and health
  • Cancer-related molecular mechanisms research
  • Genetics and Plant Breeding
  • Evaluation Methods in Various Fields
  • Domain Adaptation and Few-Shot Learning
  • Remote Sensing and Land Use
  • Plant Disease Resistance and Genetics
  • Bioinformatics and Genomic Networks
  • Phytase and its Applications
  • Metal Alloys Wear and Properties
  • Mycotoxins in Agriculture and Food
  • RNA Research and Splicing
  • High Entropy Alloys Studies
  • Metabolomics and Mass Spectrometry Studies
  • Engineering Technology and Methodologies
  • RNA and protein synthesis mechanisms

Tsinghua University
2023

Sun Yat-sen University
2019-2020

Jiangsu Academy of Agricultural Sciences
2011

China Agricultural University
2011

Noncoding RNAs (ncRNAs) play critical roles in many biological processes and have become a novel class of potential targets bio-markers for disease diagnosis, therapy, prognosis. Annotating analysing ncRNA-disease association data are essential but challenging. Current computational resources lack comprehensive database platforms to consistently interpret prioritize biomedical investigation application. Here, we present the ncRPheno platform (http://lilab2.sysu.edu.cn/ncrpheno), which...

10.1080/15476286.2020.1737441 article EN RNA Biology 2020-03-03

Abstract Microbes play important roles in human health and disease. The interaction between microbes hosts is a reciprocal relationship, which remains largely under-explored. Current computational resources lack manually consistently curated data to connect metagenomic pathogenic microbes, microbial core genes, disease phenotypes. We developed the MicroPhenoDB database by curating integrating microbe-disease association data. provides 5677 non-redundant associations 1781 542 phenotypes...

10.1016/j.gpb.2020.11.001 article EN cc-by Genomics Proteomics & Bioinformatics 2020-12-01

Yao, J., Ma, H., Zhang, P., Ren, L., Yang, X., G., P. and Zhou, M. 2011. Inheritance of stem strength its correlations with culm morphological traits in wheat ( Triticum aestivum L.). Can. J. Plant Sci. 91: 1065–1070. The genetic effect correlation were investigated a 7×7 diallel cross involving seven parents (Ningmai 8, Ningmai 9, Yangmai 5, 11, Sumai 3, Wangshuibai) during the crop season 2009–2010. Significant differences observed among genotypes for strength. estimates general combining...

10.4141/cjps2011-033 article EN Canadian Journal of Plant Science 2011-10-18

While variants of noncoding RNAs (ncRNAs) have been experimentally validated as a new class biomarkers and drug targets, the discovery interpretation relationships between ncRNA human diseases become important challenging. Here we present ncRNAVar (http://www.liwzlab.cn/ncrnavar/), first database that provides association data through manual curation on 2650 publications computational annotation. contains 4565 associations 711 disease phenotypes 3112 from 2597 ncRNAs. Each was reviewed by...

10.1016/j.jmb.2020.166727 article EN cc-by-nc-nd Journal of Molecular Biology 2020-12-02

Abstract Microbes play important roles in human health and disease. The interaction between microbes hosts is a reciprocal relationship, which remains largely under-explored. Current computational resources lack manually consistently curated data to connect metagenomic pathogenic microbes, microbial core genes, disease phenotypes. We developed the MicroPhenoDB database by curating integrating microbe-disease association data. provides 5677 non-redundant associations 1781 542 phenotypes...

10.1101/2020.07.29.221010 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2020-07-29

Abstract Iterative homology search has been widely used in identification of remotely related proteins. Our previous study found that the query-seeded sequence iterative can reduce homologous over-extension errors and greatly improve selectivity. However, remains challenging protein functional prediction. More sensitive scoring models are highly needed to predictive performance alignment methods, annotation with better visualization also become imperative for result interpretation. Here we...

10.1093/database/baz092 article EN cc-by Database 2019-01-01
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