5/20 ask

From Biolecture.org

Bioprogramming

why do we programming : to simulate (programming(architect) <=> coding(writing))

why do we do experiments : to collect the data

 - IP,Y2H -> experimental tech to study interaction

Final goal : understanding the biological system

 - architecture (network) : data=>node & interaction

 - modeling = we can simplify and make the relationship clear by modeling the system. but careful not to lose too many data.

 - scale free network : 효율 vs 위험(one to one, one to many)

(A scale-free network is a network whose degree distribution follows a power law, at least asymptotically. That is, the fraction P(k) of nodes in the network having k connections to other nodes goes for large values of k as

P(k) \ \sim \ k^\boldsymbol{-\gamma}

where \gamma is a parameter whose value is typically in the range 2 < \gamma < 3, although occasionally it may lie outside these bounds. from wiki)