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Open AccessGenome sequence and assembly of the amylolytic Bacillus licheniformis T5 strain isolated from Kazakhstan soil
The data presented in this study were collected with the aim of obtaining the complete genomes of specific strains of Bacillus bacteria, namely, Bacillus licheniformis T5. This strain was chosen based on its enzy...
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Open AccessWhole-Genome Sequencing Among Kazakhstani Children with Early-Onset Epilepsy Revealed New Gene Variants and Phenotypic Variability
In Kazakhstan, there is insufficient data on genetic epilepsy, which has its own clinical and management implications. Thus, this study aimed to use whole genome sequencing to identify and evaluate genetic var...
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Open AccessUniversal whole-genome Oxford nanopore sequencing of SARS-CoV-2 using tiled amplicons
We developed a comprehensive multiplexed set of primers adapted for the Oxford Nanopore Rapid Barcoding library kit that allows universal SARS-CoV-2 genome sequencing. This primer set is designed to set up any...
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Open AccessWhole-genome sequencing data of Kazakh individuals
Kazakhstan is a Central Asian crossroad of European and Asian populations situated along the way of the Great Silk Way. The territory of Kazakhstan has historically been inhabited by nomadic tribes and today i...
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Apoptotic and genotoxic effects of low-intensity ultrasound on healthy and leukemic human peripheral mononuclear blood cells
To scrutinize the apoptotic and genotoxic effects of low-intensity ultrasound and an ultrasound contrast agent (SonoVue; Bracco Diagnostics Inc., EU) on human peripheral mononuclear blood cells (PMBCs).
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Chapter and Conference Paper
Application of Independent Component Analysis to Tumor Transcriptomes Reveals Specific and Reproducible Immune-Related Signals
Independent Component Analysis (ICA) can be used to model gene expression data as an action of a set of statistically independent hidden factors. The ICA analysis with a downstream component analysis was succe...
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Article
Open AccessDetermining the optimal number of independent components for reproducible transcriptomic data analysis
Independent Component Analysis (ICA) is a method that models gene expression data as an action of a set of statistically independent hidden factors. The output of ICA depends on a fundamental parameter: the nu...
