Section “Whole-genome transcriptomics and differential gene expression”

The section “Whole-genome transcriptomics and differential gene expression” of the symposium “Genomics, transcriptomics and bioinformatics” is dedicated to presenting and discussing modern advances in the study of transcriptomes of humans, animals, plants, microorganisms and viruses, based on the integration of experimental and computational approaches.

The central questions of the section include:

• New bioinformatics methods, statistical models, computational technologies, machine learning and computer modeling for whole-genome analysis of transcriptomes and differential gene expression,
• Quality control of transcriptomic data obtained in cross-platform studies: normalization and correction
• Computer analysis of transcriptomic data to identify new cause-and-effect patterns of organization and functioning of molecular genetic systems and gene networks at the level of cells, tissues, organs and whole organisms.
• Reconstruction of full transcriptomes, detection of alternative splicing, mapping of intercellular interactions in tissue architecture, including in human diseases;
• Methods and results of analysis of single-cell transcriptome data (scRNA-seq) for identification of cell heterogeneity and trajectories of their development in complex tissues
• Computational algorithms, solutions and results for spatial transcriptomics;
• Methods and results of computer analysis of the structural and functional organization of RNA molecules of various classes;
• Evolutionary aspects of transcriptomic data analysis;
• Applied aspects of computational transcriptomics (in biotechnology, biomedicine, pharmacology, agrobiotechnology and other fields).
• Integrative works combining experimental and bioinformatic approaches within unified omics studies are welcome.