Gaggle Workshop 2008
A 2 day Gaggle workshop was held August 25 and 26 at the Institute for Systems Biology in Seattle. See the workshop website for details and the wiki for a summary.
Read moreYou can access to all current and past news here: Check out news related to Baliga Lab
A 2 day Gaggle workshop was held August 25 and 26 at the Institute for Systems Biology in Seattle. See the workshop website for details and the wiki for a summary.
Read moreWe are pleased to announce that our lab is putting the finishing touches on a Matlab Goose, which will bring Matlab into the fold of applications connected by the Gaggle framework.
You can see a screenshot of the Matlab Goose below, and you can check out the latest source code from the following Subversion repository:
http://gaggle.systemsbiology.net/svn/gaggle/MatGoose/trunk/
The bionformatics blog Flags and Lollipops has blogged about Gaggle.
Read moreIn two separate reports, scientists have built networks that describe the unicel- lular archaeon Halobacterium salinarum (Bonneau et al., 2007), and the multicellular nematode C. elegans (Lee et al., 2008).
Read moreOur recent Cell publication (A Predictive model for transcriptional control of physiology in a free living cell) has been featured in a number of news articles.
Read moreA High-Salt Lifestyle
Bonneau et al. describe progress in an effort to link systems-level analysis to events at the molecular and organismal levels.
A predictive model for transcriptional control of physiology in a free living cell
Read moreAccording to Faculty of 1000 Biology our Cell paper was the 5th most accessed article among all papers published in all of Biology and THE most accessed article in the Genetics and Genomics category.
Read moreLast month, a really nice piece of systems biology work was published in the journal Cell in which researchers developed a predictive model for a free cell, in this case the Archea organism, Halobacterium salinarum NRC-1.
Read moreOpen source software allows for integration and analysis of massive data sets
Read moreInterview: New Model for Predicting the Molecular Response of Living Cells to Genetic or Environmental Change
Read moreScientists Model a Genome’s Every Move
Programmers have long known that with computers, garbage in equals garbage out, but predicting life’s responses to inputs has remained far less certain. Now, scientists working to improve toxic waste eating microbes have taken one more step towards understanding how to program cells into biological machines.