Bioinformatics vs. Computational biology

Defining the terms bioinformatics and computational biology is not necessarily an
easy task, as evidenced by multiple definitions available over the web. In
the past few years, as the areas have grown, a greater confusion into these two
terms has prevailed. For some, the terms bioinformatics and computational
biology have become completely interchangeable terms, while for others, there is
a great distinction.

Bioinformatics and computational biology follows the NIH definitions listed below: 

Bioinformatics: Research, development, or application of computational tools and approaches for expanding the use of biological, medical, behavioral or health data, including those to acquire, store, organize, archive, analyze, or visualize such data. 

Computational Biology: The development and application of data-analytical and theoretical
methods, mathematical modeling and computational simulation techniques to the study of
biological, behavioral, and social systems.


Computational biology and bioinformatics are multidisciplinary fields, involving
researchers from different areas of specialty, including (but in no means limited
to) statistics, computer science, physics, biochemistry, genetics, molecular
biology and mathematics. The goal of these two fields is as follows:
•  Bioinformatics: Typically refers to the field concerned with the collection
and storage of biological information. All matters concerned with biological
databases are considered bioinformatics.
•  Computational biology: Refers to the aspect of developing algorithms
and statistical models necessary to analyze biological data through the aid
of computers. 


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