| Accepted Posters |
| Category 'O'- Neuroscience' |
| Poster O1 |
| Function-driven creation of protein families for phylogenomic analysis |
| Barbara Fenner- Norwich University |
| Mark Fenner (Norwich University, Computer Science); |
| Short Abstract: We manually craft protein families based on potential molecular functions. Functions are translated into GO terms and their relationships are formalized as a DAG. The DAG indexes into GOA and retrieves proteins to include in new families. These families are evaluated for use in automated function prediction. |
| Long Abstract: Click Here |
| Poster O2 |
| T-pattern analysis: detecting spike sequences which encode sensory information. |
| Anne Segonds-Pichon- The Babraham Institute |
| Alister Nicol (Babraham Institute, Laboratory of Cognitive & Behavioural Neuroscience); Keith Kendrick (Babraham Institute, Laboratory of Cognitive & Behavioural Neuroscience); Magnus Magnusson (University of Iceland, Human Behavior Laboratory); |
| Short Abstract: T-pattern analysis was applied to action potential data sampled from a microelectrode array to establish whether recurring spike sequences can be detected across multiple neurons in the rat olfactory bulb. Many sequences were detected, more during stimulus presentation than before, suggesting a functional role for such sequences in encoding information. |
| Long Abstract: Click Here |
| Poster O3 |
| A genomic search for molecular evolutionary correlates of regional neuronal connectivity in the mouse brain |
| Fred Davis- Howard Hughes Medical Institute |
| Sean Eddy (Howard Hughes Medical Institute, Janelia Farm Research Campus); |
| Short Abstract: The mammalian brain is organized into anatomical regions that are neuronally connected to form circuits. Here we assess the utility of spatial gene expression data and comparative genomics for identifying molecular evolutionary correlates of regional neuronal connectivity in the mouse brain. |
| Long Abstract: Click Here |
| Accepted Posters |
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