Quantitation of Molecular Pathway Activation Using RNA Sequencing Data
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01.01.2020 |
Borisov N.
Sorokin M.
Garazha A.
Buzdin A.
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Methods in Molecular Biology |
10.1007/978-1-0716-0138-9_15 |
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Ссылка
© Springer Science+Business Media, LLC, part of Springer Nature 2020. Intracellular molecular pathways (IMPs) control all major events in the living cell. IMPs are considered hotspots in biomedical sciences and thousands of IMPs have been discovered for humans and model organisms. Knowledge of IMPs activation is essential for understanding biological functions and differences between the biological objects at the molecular level. Here we describe the Oncobox system for accurate quantitative scoring activities of up to several thousand molecular pathways based on high throughput molecular data. Although initially designed for gene expression and mainly RNA sequencing data, Oncobox is now also applicable for quantitative proteomics, microRNA and transcription factor binding sites mapping data. The Oncobox system includes modules of gene expression data harmonization, aggregation and comparison and a recursive algorithm for automatic annotation of molecular pathways. The universal rationale of Oncobox enables scoring of signaling, metabolic, cytoskeleton, immunity, DNA repair, and other pathways in a multitude of biological objects. The Oncobox system can be helpful to all those working in the fields of genetics, biochemistry, interactomics, and big data analytics in molecular biomedicine.
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тезис
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API-Sociology and Google Global society: Confluence of factors for political and economic awareness
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01.10.2018 |
Mazelis L.
Mazelis A.
Shamshurina N.
Kolesnichenko Y.
Yakovleva D.
Kolesnichenko O.
Zykova A.
Grigorevsky I.
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IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings |
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0 |
Ссылка
© 2018 IEEE. Text Big Data Analytics Study is presented (frequency-morphological analysis of open texts from Google). Visualization of Morphological Matrix, cluster analysis (hierarchical method of dendrograms creation), and Value Chain Map were implemented as the set of tools for analytics. World Economic Forum's Global Risks Report was taken as a model in studying global issues. Global Trends Map was created and is presented; it indicates global social persistent inequality. Our results were compared with Global Risks Report and Multiple Futures Project-2030. Value Chain Map, based on Text Big Data Analytics for eight countries, helped to assess economic situation in terms of competitiveness at the global market.
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