What are the problems with bioinformatics?
The key challenges to bioinformatics essentially all relate to the current flood of raw data, aggregate information, and evolving knowledge arising from the study of the genome and its manifestation..
What can computational biology be used for?
Among these are analysis of protein and nucleic acid structure and function, gene and protein sequence, evolutionary genomics and proteomics, population genomics, regulatory and metabolic networks, biomedical image analysis and modeling, gene-disease associations, and development and spread of disease..
What problems do bioinformatics solve?
The major applications of bioinformatics software are for biotechnology, drug discovery and development, cell and gene therapy, microbiome research, agriculture, clinical research, personalized medicine, and many others..
What problems does bioinformatics solve?
Computing Applications to Map and Sequence Human Genome
Understanding protein folding.Predicting structure of native protein.Exhaustive discovery and analysis of cancer genes.Molecular recognition and dynamics.Drug discovery..- Computational biology is a very broad discipline, in that it seeks to build models for diverse types of experimental data (e.g., concentrations, sequences, images, etc.)
- Nussinov feels that data storage and organization are critical issues facing the future of computational biology. “Data is accumulating fast, and it is extremely diverse.” One of the challenges she sees is how does the community organize the data.
