Conference Paper

The Promise and Pitfalls of Computational Biology, or How to Convince Biologists You Do More Than Push Buttons on a Keyboard

2017 International Conference on Software Engineering and Data Engineering
Scott T. Kelley

ABSTRACT


Biological data, particularly from DNA sequence projects such as the Human Genome and Human

Microbiome projects, has accumulated at an unprecedented rate. Other data types, including proteomics

and metabolomics promise to add orders of magnitude more information to databases. In fact, the rate

of increase in molecular datasets has already outstripped Moore’s law. Thus, the computational analysis

and interpretation of molecular datasets (aka, bioinformatics) large and small has become integral to all

biology and impossible to avoid even for wet-bench scientists. Here I present an overview of computer

applications in the biological sciences. I will discuss the power of algorithms for prediction and discovery,

how bioinformatics is often for granted by biologists who rely on it, and I will give examples of bioinformatics

discoveries. I will also talk about the limitations of computational biology and the future challenges for

computational biology.

SEDE 2017



ISBN:
978-1-943436-05-7
PUBLISHER:
ISCA
CHIEF EDITOR:
Frederick C. Harris Jr. Yan Shi Sergiu Dascalu
CONFERENCE VENUE:
Denver Colorado USA
CONTACT DETAILS:
Debnath
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