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When Does Computational Validation Trump Biological Validation?
Many a successful investigator working at the interface between molecular biology, genetics and computation will recognize the imperative to obtain biological validation for computational...
Jul, 01, 2008
FOLLOW THE MONEY: Big Grants in Biomedical Computing

Several big-dollar initiatives received NIH funding in late 2010

In the current economic climate, every research dollar counts. Fortunately, when it comes to biomedical computing, not everyone has been left counting change. Several big-dollar initiatives received...
brain, immunity, network
Apr, 01, 2011
Conducting Medical Research from Electronic Health Records

Using natural language processing to find necessary samples

To discover links between genes and disease, researchers typically recruit individual patients with and without the disease of interest; have them sign consent forms; take their medical histories;...
Jan, 01, 2010
Vertex Classification in Graphs

How can they help us understand proteins?

Graphs, or networks, have been widely adopted in computational biology, with examples including protein-protein interaction networks, gene regulatory networks, and residue interaction networks in...
Jun, 20, 2013
Microarrays: The Search For Meaning in a Vast Sea of Data

They've gone from hype to backlash. Now it's time for reality: How microarrays are being used to benefit healthcare

When DNA microarray technology emerged more than a decade ago, it was met with unbridled enthusiasm. By allowing scientists to look at the expression of enormous numbers of genes in the genome...
Oct, 01, 2006
The Female Factor: Is the gender gap in computer science carrying over to biomedical computing?

Early evidence suggests a mixed picture

Stanford University’s 2004-2005 computer science T-shirts exhibited symbols for six men and one woman -- an accurate portrayal of the ratio in the department and only slightly worse than the...
Apr, 01, 2006
Error! – What Biomedical Computing Can Learn From Its Mistakes

How errors in data, software, and methodology can teach us how to do better

In 2006, a paper in Nature Medicine suggested a novel and potentially revolutionary method for predicting patient responses to cancer therapies using gene signatures. The finding piqued the interest...
publication, reproducible research, statistics, validation
Sep, 01, 2011
Privacy and Biomedical Research: Building a Trust Infrastructure

An exploration of data-driven and process-driven approaches to data privacy

Trust. It’s the basis of every patient/physician interaction: Shared personal health information is kept confidential and used only for the patient’s benefit. It’s a tradition that...
de-identification, differential privacy, HIPAA, k-anonymity, l-anonymity, privacy
Jan, 02, 2012
Democratizing Integrative Biology

The importance of developing and deploying tools for the quantitative clinician scientist

The word Om (or Aum) has many meanings in ancient Hindu philosophy, one of which is “that which contains all other sounds.” The meaning has relevance to the now commonly used suffix...
Jun, 01, 2010
Imaging Collections: How They're Stacking Up

As barriers to massive imaging collections fall, researchers can look at human systems in their entirety rather than in pieces

In the beginning there was the Visible Human. It broke new ground by gathering some 2,000 serial images from a death row inmate’s cadaver, and was the first time researchers had sectioned a...
Jul, 01, 2007
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