Get To Appear In Computer Applications In The Biosciences, 1997

Computers can be used to simulate cellular growth, the human nervous system, motor control, disease transmission, and disease progression. All of these things are highly useful in biological and medical research.

Computers are used in every field of life, such as homes, businesses, educational institutions, research organizations, the medical field, government offices, entertainment, etc. Today we can not imagine growing our technology without computers.

Computers in genomics can help us figure out the most likely evolutionary relationships between organisms by analyzing their genetics, and can be used to synthesize the huge amount of data on genetics that we have available. Drug design and discovery involves finding drugs to treat and cure human diseases.

Examples include graph algorithms for genome mapping (the process of locating fragments of DNA on chromosomes) and for certain types of DNA and peptide sequencing methods, clustering algorithms for gene expression analysis and phylogenetic reconstruction, and pattern matching for various sequence search problems.

Articles which examine the following topics of special interest are being featured in Computers in Biology and Medicine: Computer aids to the analysis of biochemical systems, computer aids to biocontrol-systems engineering, neuronal simulation by digital-computer gating components, automatic computer analysis of ...

Data collection and management: Computers are used to collect, store, and manage vast amounts of zoological data. This includes recording observations, tracking animal movements, cataloging specimens, and maintaining databases of ecological and biological information.

Computers in genomics can help us figure out the most likely evolutionary relationships between organisms by analyzing their genetics, and can be used to synthesize the huge amount of data on genetics that we have available. Drug design and discovery involves finding drugs to treat and cure human diseases.

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.