A knowledge driven mutual information-based analytical framework for the identification of rumen metabolites
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Haiying Wang | Huiru Zheng | Rainer Roehe | Mengyuan Wang | Richard J. Dewhurst | Huiru Zheng | Haiying Wang | R. Dewhurst | R. Roehe | Mengyuan Wang
[1] Ekta Menghani,et al. BIOACTIVE SECONDARY METABOLITES: AN OVERVIEW , 2014 .
[2] Ljubica Tasic,et al. NMR-based metabolomics strategies: plants, animals and humans , 2017 .
[3] D. Wishart,et al. Livestock metabolomics and the livestock metabolome: A systematic review , 2017, PloS one.
[4] Weijun Luo,et al. Pathview: an R/Bioconductor package for pathway-based data integration and visualization , 2013, Bioinform..
[5] A. Barabasi,et al. Network biology: understanding the cell's functional organization , 2004, Nature Reviews Genetics.
[6] Robert Powers,et al. Multivariate Analysis in Metabolomics. , 2012, Current Metabolomics.
[7] Hiroyuki Ogata,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 1999, Nucleic Acids Res..
[8] Mick Watson,et al. The rumen microbial metagenome associated with high methane production in cattle , 2015, BMC Genomics.
[9] Pierre Brézellec,et al. The role of domain redundancy in genetic robustness against null mutations. , 2006, Journal of molecular biology.
[10] P. Shannon,et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.
[11] Daniel Raftery,et al. NMR Spectroscopy for Metabolomics Research , 2019, Metabolites.
[12] Mick Watson,et al. Identification, Comparison, and Validation of Robust Rumen Microbial Biomarkers for Methane Emissions Using Diverse Bos Taurus Breeds and Basal Diets , 2018, Front. Microbiol..
[13] Markus M. Rinschen,et al. Identification of bioactive metabolites using activity metabolomics , 2019, Nature Reviews Molecular Cell Biology.
[14] Xinzi Wu,et al. Identification of organic molecules from a structure database using proton and carbon NMR analysis results. , 2007, Journal of magnetic resonance.
[15] Mick Watson,et al. Bovine Host Genetic Variation Influences Rumen Microbial Methane Production with Best Selection Criterion for Low Methane Emitting and Efficiently Feed Converting Hosts Based on Metagenomic Gene Abundance , 2016, PLoS genetics.
[16] Huiru Zheng,et al. Understanding the relationships between rumen microbiome genes and metabolites to be used for prediction of cattle phenotypes , 2019 .
[17] Robert Powers,et al. New frontiers in metabolomics: from measurement to insight , 2017, F1000Research.
[18] Marko Sysi-Aho,et al. A Systems Biology Strategy Reveals Biological Pathways and Plasma Biomarker Candidates for Potentially Toxic Statin-Induced Changes in Muscle , 2006, PloS one.
[19] Jianhui Xi,et al. Multivariate Phase Space Reconstruction Based on Combination of Nonlinear Correlation Degree and ICA , 2012 .
[20] H. Schwalbe,et al. NMR Spectroscopy of RNA , 2003, Chembiochem : a European journal of chemical biology.
[21] A. Mills,et al. Manual of environmental microbiology. , 2007 .