Perspectives: Biology and Data

What is cancer, and how does it start? Find out how genetics play a role, which types of cancer are the most prevalent, and what is being done to fight this deadly disease. Three-minute video. 

In Biomedical Big Data Revolution,  Systems Biologist, Stefan Bekiranov talks about what’s driving this revolution and how researchers are finding potential cures to diseases such as cancer. 

Bioinformatics (2 minute video) is a blend of molecular biology and data science and deals with the application of computational methods to analyze large collections of biological data, such as genetic sequences, cell populations or protein samples.

This 5-minute video artfully describes: 1) Life of a Data Scientist; 2) Steps in a Data Science project; 3) Roles offered to a Data Scientist; and 4) Salary of a Data Scientist. 

In this article from Caltech Magazine, three investigators discuss how computational biology is shaping the future of health and privacy.

Cancer systems biology aims to understand important genetic mutations and abnormal protein behavior in a cancer cell within the broader physiological ecosystem and to predict the likely impact of drug interventions. PDF article.

Drug repurposing, or finding a new medical use for an existing drug, offers a potentially faster route to find better treatments for diseases. 1-minute video.  

From the journal eLife, “Philosophy of Biology: The challenges of big data biology” asks what is a good dataset, and how can reliable knowledge be extracted from big data?  

In this video (2 minutes), learn why the R programming language has become the singular most valuable tool for data science.

This two-minute video is the short story about Python as a trending programming language. 

Matlab combines a desktop environment tuned for iterative analysis and design processes with a programming language for mathematical modeling. Two-minute video.