| Literature DB >> 31667772 |
Nicolas Borisov1,2, Maxim Sorokin1,2,3, Andrew Garazha2, Anton Buzdin4,5,6.
Abstract
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.Entities:
Keywords: Big data analytics; Bioinformatics; Biomarkers; Cancer; Epigenetics; Gene expression; Intracellular molecular pathways; Machine learning; Micro-RNA; Proteomics; Systems biology; Transcriptomics; miR
Year: 2020 PMID: 31667772 DOI: 10.1007/978-1-0716-0138-9_15
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745