About Nordic CompBio

WHAT IS COMPUTATIONAL BIOLOGY?

Numerous biological revelations have been achieved without the assistance of advanced computation and processing power. Long before the field of bioinformatics and computational biology, researchers have managed to revolutionise their field and contribute greatly to the understanding of life and evolution. However, the current speed with which computational methods aid in uncovering complex biological processes can be attributed to the development of modern computers, which have been essential for multiplex analyses and subsequent data analysis.

Are bioinformatics and computational biology synonymous? As a matter of fact, they are not. Computational biology is a central part of bioinformatics that covers all mathematical and programmatic efforts to understand and/or replicate biological systems. Bioinformatics, as the name suggests, is a very broad term that envelops many different disciplines in the field of data science and biology. Bioinformatics is a field of research that was originally developed to meet the increasing demand to receive, analyse, interpret and share the abundance of biological data, being created, following the development of computing power and high-throughput assays.

OUR GOALS

Our mission is to organise and promote events and new initiatives, highlight scientific advancements happening across Nordics, and to provide an inclusive and open platform for people interested in computational biology (and related areas) to build collaborations and support network.

Our aim for the near future is to continue with Nordic CompBio Talks with theme-focused seminars, organise flagship events such as annual symposium and conference, and serving as a resource-based platform.  There are different ways to become a part of Nordic CompBio, visit nordic-compbio.iscbsc.org/get-involved to find more.

Got any questions or ideas to share? Visit the FAQ page, reach out to us via contact form, and/or fill out the feedback form! Thank you.

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Nordic Computational Biology