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Automated Function Prediction SIG 2012 |
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Organizers: Iddo Friedberg and Predrag Radivojac |
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| 08:30 |
08:45 |
Welcome |
Iddo Friedberg and Predrag Radivojac |
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Session 1: Evolution used in Function Prediction |
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| 08:45 |
09:30 |
Keynote: Phylogenomic Approaches to Improving Functional Prediction |
Jonathan Eisen |
UC Davis |
| 09:30 |
09:50 |
FAT-CAT (Fast Approximate Tree ClassificATion): A Scalable Method for (Meta)Genome Functional and Taxonomic Classification |
Kimmen Sjolander |
UC Berkeley |
| 09:50 |
10:15 |
Annotation of Short Proteins in the Expanding Universe of Protein Sequences from Insects and Crustaceans |
Michal Linial |
Hebrew University of Jerusalem |
| 10:15 |
10:45 |
Coffee |
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Session 2: Structures! |
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| 10:45 |
11:10 |
Protein-ligand binding prediction with I-TASSER structure assembly, BioLiP database construction and COFACTOR template identification |
Yang Zhang |
University of Michigan |
| 11:10 |
11:30 |
STOP using GO |
Sean Mooney |
Buck Institute |
| 11:30 |
11:55 |
Evolution of function in the alkaline phosphatase superfamily |
Alan E. Barber Ii |
UC San Francisco |
| 11:55 |
12:20 |
Selection of Targets for Function and Structure Determination in the Isoprenoid Synthase Superfamily |
Daniel Almonacid |
UC San Francisco |
| 12:20 |
13:30 |
Lunch |
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| 13:30 |
14:30 |
posters |
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Session 3: Getting creative. |
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| 14:30 |
14:55 |
Can we go beyond sequence similarity to predict protein function ? |
Stephano Toppo |
Università degli studi di Padova |
| 14:55 |
15:15 |
Computational Function Predictions for Moonlighting Proteins |
Daisuke Kihara |
Purdue University |
| 15:15 |
15:45 |
Coffee |
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Session 4: Critique of Protein Function Prediction |
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| 15:45 |
16:10 |
Lessons from the first critical assessment of functional annotation |
Jesse Gillis |
University of British Columbia |
| 16:10 |
16:35 |
Sources of Experimental Function Annotation in UniProt-GOA, Implications for Function Prediction |
Alexandra Schnoes |
UC San Francisco |
| 16:35 |
17:00 |
Information theory based metrics for the evaluation of GO term annotations |
Wyatt Clark |
Indiana University, Bloomington |
| 17:00 |
17:15 |
Break |
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| 17:15 |
17:40 |
Predicting Tissue Specificity from Protein Sequence |
Sivan Goren |
Bar Ilan University |
| 17:40 |
18:00 |
“dcGO”: a Domain-Centric Gene Ontology Predictor for Functional Genomics |
Julian Gough |
Bristol University, UK |
| 18:00 |
18:25 |
Flexible Graphlet Kernels for Functional Residue Prediction in Protein Structures |
Jose Lugo-Martinez |
Indiana University, Bloomington |