J. K. Wickiser Lab

Posts Tagged ‘bioinformatics’

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Identifying the Microbial Culprit of The Black Plague

Tuesday, October 18, 2011

A microbial treasure box was just dug up and some insight was provided (via sequencing technologies) into The Black Plague

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Posted in Science in the Lay Press | No Comments »

Enzymatic networks

Monday, October 17, 2011

This group analyzes enzyme networks for robustness and dynamics.

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A network analysis approach to prediabetes

Friday, October 14, 2011

The molecular, cellular, and evironemental factors of diabetes makes for a complex problem that this group attacks using a network analysis approach.

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lincRNAs impact pluipotency and cell differentiation

Thursday, October 13, 2011

Mouse cells have been used to demonstrate that long intergenic non-coding RNAs (lincRNAs) have key roles in the circuitry controlling ES cell state.

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Microbial Bioinfomatics tools

Friday, October 7, 2011

Cool tools for microbial bioinformatics from Berkeley Lab.

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Conspiracy messages in my DNA – oh noes !!!1111111!!!!!!!!!!!!!11111111

Sunday, October 2, 2011

Here’s a fun little pop sci article dealing with encoding messages in DNA. Unfortunately this article takes away from the real news: that aliens hacked up their genomes, inserted them into bacteria, and sent them forward on meteors eons ago to populate different worlds. I’m sure there’s a PhD thesis in there someplace.

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Distributed Computing and Structural Biology

Monday, September 19, 2011

X-box science in action.

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TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach.

Thursday, September 15, 2011

The timecourse data sets are huge in systems biology. This paper details efforts to generate gene networks using microarray data. Time-course data used to create a gene network

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Protein networks in a plant model

Wednesday, September 14, 2011

Here’s a paper and press release for some recent work on the protein networks in Arabadopsis.

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Rank-based edge reconstruction for scale-free genetic regulatory networks.

Tuesday, September 13, 2011

The construction of gene networks is tricky business and this group details a Rank-based edge method: Rank-based edge reconstruction

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