Applied genomics

Knowledge: theory and principles of metagenomics; principles of sampling, collection of metadata and their analysis; methods of metagenomics; principles of functioning of microbial communities; taxonomic diversity of microorganisms according to the analysis of the 16S rRNA gene; functional metagenomics; metagenomic analysis of symbiotic systems; soil metagenomics; metagenomics of aquatic ecosystems; clinical metagenomics.

Skills: analysis of metagenomic data based on ribosomal RNA, analysis of genome-wide metagenomic data

Knowledge: concepts and methods of analysis of transcriptome data; analysis of gene expression using microarrays and RNA-seq; pipeline for transcriptome analysis; normalization and statistical analysis of expression profiles; visualization of gene networks; diagnosis and profiling of diseases; human transcriptomics, pathogen transcriptomics

Skills: collection of transcriptome data in the absence or presence of a reference, assessment of the level of expression, differential expression, analysis of non-coding RNA

Knowledge: basic concepts and methods of pangenomics; universal genome; unique genes; genome of the periphery; methods based on gene annotations; genome sequence based methods

Skills: analysis of pangenomic data of prokaryotes, analysis of pangenomic data of yeast, analysis of pangenomic data of plants, analysis of pangenomic data of animals.

Knowledge: genetic variation within populations; modeling of changes in the frequencies of genes and alleles in populations in space and time; polymorphism of genes in a population (different alleles, specific for a population); predicting the occurrence of specific alleles or combinations of alleles in populations based on advances in molecular genetics, Mendel's laws of inheritance and modern theory of evolution.

Skills: analysis of human population data, analysis of population structure, analysis of population history, analysis of population data of important animals and plants for humans

Knowledge: the conservative role of the epigenome and its role in genetic plasticity; the main systems of epigenetic regulation; the role of epigenetics in development; imprinted genes; the use of epigenetics to analyze cell identity; methods of epigenetic analysis; reference epigenomes and epigenetic databases; methylomes, histone code; epigenome of a person; determination of genome-wide DNA methylation; epigenetic therapy;

Skills: ChIP-seq data analysis, data analysis of various epigenetic marker sequencing variants, methylation data analysis.

Knowledge: post-translational protein modifications; proteomic research methods: two-dimensional electrophoresis, liquid chromatography (FPLC, HPLC), mass spectrometry (fingerprinting of molecular weights of peptides and tandem mass spectrometry); limited proteolysis, protein splicing, disulfide bond formation. ubiquitinylation, sumoylation; Human Proteome program.

Skills: Proteomic data analysis, protein modeling

Knowledge: technical base of functional genomics: recombinant DNA technology; hybridization methods, PCR amplification; sequencing; dynamic aspects of functional genomics: gene transcription, translation and interaction of proteins. loss of function method (micro RNA); gene knockout mutation method; insertional mutagenesis; complimenting genes.

Skills: hybridization methods, PCR amplification; sequencing; computer analysis of gene functions. functional gene annotation. DAVI, SAGE, GSEA.

Knowledge: Study of genetic predispositions of autoimmune diseases - maintenance and disturbance of self-tolerance. Genetic editing as targeted protection for targets of the immune system (nervous system, skin, etc.). Oncoimmunology: the escape of cancer cells from the immune system: a view from oncology, immunology and genetics. Methods for predicting post-infectious complications, side effects of vaccination and other types of immunotherapy.

Skills: Bioinformatics-based markers of genetic predisposition to immunopathologies; multipopulation analysis of immune populations, flow cytometry, enzyme immunoassay, genetics of pathogen-host interaction

Knowledge: concepts and methods of single cell sequencing; the Human Cell Atlas project; methods G & T-seq SIDR-seq, CITE-seq; algorithms for processing single cell sequencing data

Skills: Analyzing scRNA data

This discipline covers the following topics: genetic engineering technologies, genetic advances engineering, modern trends in genetic engineering.

The course will introduce you to genetic engineering techniques like gene manipulation (Extraction from cells, Gene isolation, Modification), Inserting DNA into the host genome (Transformation, Transfection, Transduction, Regeneration, Confirmation) and Gene targeting (Meganucleases and Zinc finger nucleases, TALEN and CRISPR).

This course aims to the following subjects: sequence, characterize, and study the genetic compositions, structures, organizations, functions, and interactions/networks of an entire plant genome. Plant genomics cource provides some updated discussions on current advances, challenges, and future perspectives of plant genome studies and applications.

This course will let you know how features or components of a genome (the entirety of an organisms' DNA) change both within and between species over evolutionary timescales.

By the end of the course, you will know how genes control the growth and development of an organism throughout its life cycle. Important processes as cell division, cell differentiation, and morphogenesis will be studied.

The course combines specific elements of spoken English (presentation skills, professional immersion) and academic English (critical and analytical thinking, academic writing).

The discipline introduces you to designing and leading R&D processes, managing R&D organizations, and transfer of new know-how and technology to other groups or departments involved in innovation.