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Dr.Kuncheng Song
APID: 3851
capBioinformatics at Labcorp Raleigh, NC
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My Biography

I work as a senior bioinformatics scientist at More labcorp with a Ph.D. in bioinformatics concentrating in microbiome research. I have extensive experience in microbiome research, particularly in 16S and metagenomics sequencing and its analysis. My work involves developing and applying computational methods to study the diversity of microbial communities, with the ultimate goal of understanding how these complex systems influence human health and disease. In my research, I have developed and implemented advanced bioinformatics tools and pipelines to analyze large-scale metagenomic data sets, allowing for the identification of key microbial taxa that may be involved in disease processes. I am also trained in statistical analysis and machine learning techniques, which have enabled me to develop predictive models for disease risk and treatment response. Throughout my career, I have also collaborated with numerous researchers across different disciplines, including microbiologists, immunologists, epidemiologists, and clinicians, to help answer important questions about the microbiome and its role in human health. My work at Labcorp involves continuing my research in the field of microbiome research and supporting patient health by developing metagenomics pipelines for analyzing patient data.

Area Of Expertise

Bioinformatics; Microbiome; Computational Biology

Area of Intrest

Bioinformatics; Microbiome; Computational Biology

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My Peers always eager to discuss and promote their research with me.

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I am a researcher with an interest in contributing to a deeper understanding of social issues. Human Read More behaviour is often characterized by deviations from perfect rationality and influenced by numerous factors that cloud the researcher’s view of underlying causalities. The majority of my current research applies field and lab-in-the-field experiments to test insights from classical and behavioural economics in the contexts of economic development and the design of innovation contests,
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Numbers, Algebraic Number Theory, Group Theory, Matrix Theory, Graph ΤheoryPure MathematicsSet Read More Theory
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ANBUMANI ARUMUGAM


Happy Morning !!! Thank you very much for being a Reviewer in your STM journal “Journal of Image Read More Processing & Pattern Recognition Progress”.
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