13 Facts About Computational biology

Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships.

Since the late 1990s, computational biology has become an important part of biology, leading to numerous subfields.

Today, the International Society for Computational Biology recognizes 21 different 'Communities of Special Interest', each representing a slice of the larger field.

Computational biology anatomy is the study of anatomical shape and form at the visible or gross anatomical scale of morphology.

Mathematical Computational biology is the use of mathematical models of living organisms to examine the systems that govern structure, development, and behavior in biological systems.

Systems biology often uses computational techniques from biological modeling and graph theory to study these complex interactions at cellular levels.

Computational biology genomics is the study of the genomes of cells and organisms.

Computational biology neuroscience is the study of brain function in terms of the information processing properties of the nervous system.

Computational biology neuropsychiatry is an emerging field that uses mathematical and computer-assisted modeling of brain mechanisms involved in mental disorders.

Computational biology pharmacology is "the study of the effects of genomic data to find links between specific genotypes and diseases and then screening drug data".

Analysts project that if major medications fail due to patents, that computational biology will be necessary to replace current drugs on the market.

Doctoral students in computational biology are being encouraged to pursue careers in industry rather than take Post-Doctoral positions.

In Computational biology supervised learning can be helpful when we have data that we know how to categorize and we would like to categorize more data into those categories.