Trey Ideker has an impressed career. He obtained his PhD in 2001, now at UCSD
- Diego M. Riaño-Pachón
The curse of systems biology: you will be a jack of all trades, rather than a master of one.
- Allyson Lister
How does one automatically model systems and pathways from a variety of data
- Oliver Hofmann
Ideker et al.: Ann Rev Genomics Hum Genetics 2001 - his PhD work (Systems Biology: A new approach to decoding life.
- Allyson Lister
Given basic knowledge of a pathway measure the global response to systematic perturbations, compare predictions and observations and determine the goodness of fit, revise and repeat
- Oliver Hofmann
Ideker (Sciene 2001), GAL metabolic flow as an example
- Oliver Hofmann
Use systematic interaction data (Protein-DNA, PPI, biochemical reactions) to zoom out from a well-understood small pathway to a more global view
- Oliver Hofmann
The final figure of that Science manuscript, he feels, launched his career.
- Allyson Lister
Change to the 'modern area'. Querying large biological networks for active modules, colouring graphs with expression states, enzyme activity, any kind of activity. Automatically extract subnetworks / modules from the global 'hairball'
- Oliver Hofmann
Interaction Database Dump, aka "Hairballs", which aren't good for a whole lot.
- Allyson Lister
Projection of siRNA phenotypes on a HIV protein interaction network (human-human and human-HIV) to identify active modules
- Oliver Hofmann
For what @Oliver said directly above: (Konig et al. Cell 2008).
- Allyson Lister
A working map for moving network biology to the clinic: does not have to be complete and can tolerate false positives. Innovation in how to assemble the map (what pieces / input)
- Oliver Hofmann
Key problem: moving past the pretty pictures and interpreting them
- Oliver Hofmann
What follows is a very nice slide on the timeline of both biological sequence comparison and biological network comparison. Can't write that! See @Diego above for citation for this
- Allyson Lister
Trey thinks there are better things out there now than PathBLAST and networkBLAST.
- Allyson Lister
Genetic interactions form a distinct type of network maps. Comparison across network types instead of across species
- Oliver Hofmann
Here, there exists a genetic interaction between gene A and B if phenotype of mutant a is OK, mutant b is OK, and mutant ab is sick. (Tong et al. Science 2001)
- Allyson Lister
Identify biological pathways / physical interactions that support genetic interactions
- Oliver Hofmann
Kelley and Ideker Nat Biotech 2005 worked on systematic identification of parallel pathway relations.
- Allyson Lister
Genetic interactions run 'between' clusters of physical interactions, not within them
- Oliver Hofmann
Regions are enriched for stress genes. Binding of factors to the region seems to be condition-specific
- Oliver Hofmann
Factors being sequestered away from their target genes under certain conditions?
- Oliver Hofmann
Network-based disease diagnosis and prognosis
- Oliver Hofmann
Changes to a breast cancer metastasis classifier using additional features. (Imperfect) diagnostic sets of genes have been identified previously, ROC at around 0.65
- Oliver Hofmann
Lack of robustness across studies (overlap between three classifier sets not larger than random expected overlap)
- Oliver Hofmann
Overlay with PPI data to identify informative subnetworks (Chuang, Mol Sys Biol 2007)
- Oliver Hofmann
Taylor et al. 2009 Nat Biotech, better approach recommended by Trey
- Diego M. Riaño-Pachón