Bioinformatics of Genome Regulation and Structure II
PAYBACK Punkte
58 °P sammeln!
- Computational structural and functional genomics
- Analysis of nucleosome formation potential and conformational properties of human J1-J2 type alpha satellite DNA
- Analysis of periodicities in the dinucleotide context of nucleosomal DNA using the method phase
- Computational structural and functional proteomics
- Computational evolutionary biology
- Computational system biology
- New approaches to analysis of biomolecular data and processes.
- Analysis of nucleosome formation potential and conformational properties of human J1-J2 type alpha satellite DNA
- Analysis of periodicities in the dinucleotide context of nucleosomal DNA using the method phase
- Computational structural and functional proteomics
- Computational evolutionary biology
- Computational system biology
- New approaches to analysis of biomolecular data and processes.
The last 15 years in development of biology were marked with accumulation of unprecedentedly huge arrays of experimental data. The information was amassed with exclusively high rates due to the advent of highly efficient experimental technologies that provided for high throughput genomic sequencing; of functional genomics technologies allowing investigation of expression dynamics of large groups of genes using expression DNA chips; of proteomics methods giving the possibility to analyze protein compositions of cells, tissues, and organs, assess the dynamics of the cell proteome, and reconstruct the networks of protein-protein interactions; and of metabolomics, in particular, high resolution mass spectrometry study of cell metabolites, and distribution of metabolic fluxes in the cells with a concurrent investigation of the dynamics of thousands metabolites in an individual cell. Analysis, comprehension, and use of the tremendous volumes of experimental data reflecting the intricate processes underlying the functioning of molecular genetic systems are unfeasible in principle without the systems approach and involvement of the state-of-the-art information and computer technologies and efficient mathematical methods for data analysis and simulation of biological systems and processes. The need in solving these problems initiated the birth of a new science- postgenomic bioinformatics or systems biology in silico.
