Cyber Security Consultants

Scientists want to understand the genetic rules that direct this delicate dance, and a new algorithm developed by Brown University mathematicians could help them accomplish that. The algorithm, described this week in Proceedings of the National Academy of Sciences, is able to quantify various attributes of shapes and patterns, enabling scientists to more objectively test ideas about how zebrafish stripes -- and potentially other developmental patterns -- are formed.

The role of a Cyber Security Consultant is focused on protection, but this can cover many different facets. 

"The overarching goal of studying zebrafish stripes is to understand the early development of organisms -- how genes express themselves to form structures and phenotypes," said Bjorn Sandstede, a professor in Brown's Division of Applied Mathematics and senior author of the research. "People have developed simulations to help understand these processes, but a challenge is that you're looking at a few zebrafish or a few images from simulations, and you're essentially eyeballing what the similarities and differences are. We wanted to create something that was automated and more objective."

These differing patterns are the result of changes in the way pigment cell types interact with each other and move around during development. To understand the rules these cells follow, scientists have developed computer models that simulate cellular movement pattern formation. By tweaking the rules governing simulation and then seeing if the output matches the patterns of real fish, scientists can start to figure out what rules matter.
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