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MODERN PERSPECTIVES FOR BIOMEDICAL SCIENCES: FROM BENCH TO BEDSIDE
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Browsing Abstracts by Author "d0cdb464-658e-42ec-860e-740ec4b0286e"

Now showing items 1-3 of 3

IDENTIFICATION OF KAZAKH SPECIFIC GENOMIC VARIANTS USING COMPARATIVE GENOMICS ANALYSIS

Molkenov, A.; Daniyarov, A.; Sharip, A.; Seisenova, A.; Karabayev, D.; Kairov, U. (International conference "MODERN PERSPECTIVES FOR BIOMEDICAL SCIENCES: FROM BENCH TO BEDSIDE”; National Laboratory Astana, 2020)

Introduction: The modern development of high-performance genomic technologies opens up new possibilities for studying the human genome. Large-scale genomic research generates huge amounts of data, the active development ...
LAUNCH OF Q-SYMPHONY BIOINFORMATICS COMPUTING SYSTEM: A HIGH-PERFORMANCE CLUSTER FOR ANALYSIS OF LARGE-SCALE GENOMIC DATASETS

Molkenov, A.; Daniyarov, A.; Sharip, A.; Seisenova, A.; Karabayev, D.; Kairov, U. (International conference "MODERN PERSPECTIVES FOR BIOMEDICAL SCIENCES: FROM BENCH TO BEDSIDE”; National Laboratory Astana, 2020)

Introduction: One whole human genome, provided by next generation sequencing platforms, in raw format takes 20 to 50 GB. In the course of bioinformatics analysis and data analysis, the data volume increases to 300-500 ...
META-ANALYSIS OF CANCER TRANSCRIPTOMES USING INDEPENDENT COMPONENT ANALYSIS

Seisenova, A.; Sharip, A.; Molkenov, A.; Daniyarov, A.; Karabayev, D.; Kairov, U. (International conference "MODERN PERSPECTIVES FOR BIOMEDICAL SCIENCES: FROM BENCH TO BEDSIDE”; National Laboratory Astana, 2020)

Introduction: Independent Component Analysis (ICA) is a matrix factorization method for data dimension reduction. ICA has been widely applied for the analysis of transcriptomic data for blind separation of biological, ...