From data to understanding

May 27, 2010 § Leave a comment

Angela DePace pointed out this excellent recent article by Arthur Lander on how and why models are useful in biology (Lander, A. (2010) The edges of understanding.  BMC Biol. 8 40).  Here’s a teaser:

“In molecular biology, explaining the existence of a phenotype or disease by ‘finding the gene(s) for it’ is a plausible goal; in systems biology it is just a starting point for investigation. Curiously, this distinction is often misconstrued. Among scientists, as well as the public, systems biology is frequently identified with the exploitation of high-throughput methods to gather vast amounts of data about genomes, epigenomes, transcriptomes, proteomes, metabolomes, phenomes, and the like. Sophisticated as such methodologies have become, they primarily support the tasks that molecular biologists have always faced – discovering nodes and edges. If this were all there was to systems biology, it would be hard to justify treating it as anything more than an accelerated program of molecular biology.

But there is certainly more.”

Now read on…

Tagged:

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

What’s this?

You are currently reading From data to understanding at It Takes 30.

meta

%d bloggers like this: