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UC Davis - ECS - 110
The Computer for the 21st Century Mark Weiser The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it. Consider writing, perhaps the first informati
UC Davis - ECS - 160
Why Session Tracking?Personalization is making it easier and more pleasant for people to surf the Internet. Consumers and companies benefitServlets 2Fatemeh Abbasinejad abbasine@cs.ucdavis.eduFatemeh AbbasinejadECS 160 - Spring 20062Why S
UC Davis - ECS - 160
ECS 160 Introduction to Software Engineering4/3/2006Discussion Session Notes 1Fatemeh Abbasinejad University of California at DavisWhat is Configuration Management? Typically configuration management is handled by software tools. These a
UC Davis - ECS - 160
Servlets1Fatemeh Abbasinejad abbasine@cs.ucdavis.eduWhat are Servlets?A program that runs on a web server acting as middle layer between requests coming from a web browser and databases or applications on the Http server21Where are they?Se
UC Davis - ECS - 160
Trac TutorialFatemeh Abbasinejad ECS 160 Spring 2006Menu Options for Trac Wiki (homepage) Timeline Roadmap Browse Source View/New Ticket1HomepageWiki Page2Browse SourceBrowse Source .3ChangesetAdding Tickets Tickets are t
UC Davis - VR - 05
3D Warp Brush: Interactive Free-Form Modeling on the Responsive WorkbenchYong Joo KilUC DavisPietro RenzulliPolitecnico di BariOliver KreylosUC DavisBernd HamannUC DavisGiuseppe MonnoPolitecnico di BariOliver StaadtUC DavisA BSTRAC
Masters CA - ONLINECATA - 0708
Financial AidFINANCIAL AID POLICIES & PROCEDURES Eligibility To be eligible to receive financial aid, a student must: 1. Be a U.S. citizen or permanent resident (except for international scholarships). 2. Be enrolled as a full-time student. 3. Have
Masters CA - ONLINECATA - 0304
Financial AidFinancial aid is money provided through federal and state grants and loans as well as institutional scholarship, grant and work study programs to assist students in meeting educational costs while attending college. There are two types
Masters CA - ONLINECATA - 0304
Humanities Course Offerings in HumanitiesART ARTUNDERGRADUATE PROGRAMSART109, 309 Fundamental Instruction in Art (1,1) Introductory studies in various art forms. ART318 Arts & Crafts: Individual Expression (3) The class will do three projects tog
UC Davis - CASP - 7
Critical Assessment of Techniques for Protein Structure PredictionSeventh MeetingASILOMAR CONFERENCE CENTER PACIFIC GROVE, CALIFORNIA NOVEMBER 26-30, 2006Abstracts13Dpro - 500 models for 100 3D targets FOLDpro - 600 models for 100 3D/100 DP
UC Davis - CASP - 7
Predictor GROUPS (by name)3D-JIGSAW (302) - 446 models for 100 3D targets 3D-JIGSAW_POPULUS (247) - 500 models for 100 3D targets 3D-JIGSAW_RECOM (420) - 462 models for 100 3D targets Paul.Fitzjohn@cancer.org.uk Paul W. Fitzjohn Marc N. Offman marc.
UC Davis - CASP - 7
List of participantsAlexei Adzhubei Universty of Oslo P.O. Box 1125 Blindern, NO-0317 Oslo Norway alexei@biotek.uio.no Yutaka Akiyama AIST 2-42 Aomi 135-0064 Koto-ku Tokyo Japan akiyama-yutaka@aist.go.jp Rodolfo V. Aramayo Texas A&M University 9207
UC Davis - CASP - 8
Critical Assessment of Techniques for Protein Structure PredictionEighth Meeting8CAGLIARI, SARDINIA, ITALY DECEMBER 3-7, 2008ABSTRACTS8th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction Cagl
UC Davis - CASP - 8
6-Dec-2008CASP8Assessment of Disorder PredictionJoel L. Sussman Weizmann Institute of Science1The TeamJaime PriluskyOrly NoivirtKoby Levy2Since amino acid sequence determines 3D structure, amino acid sequence should also determine la
UC Davis - CASP - 8
CASP8: RefinementJustin MacCallum Ken Dill University of California San FranciscoI'm new.Dude, Dude physics doesn't work.Assessors make mistakes"In the beginner's mind there are In beginner s many possibilities, in the expert's mind th i d t
UC Davis - CASP - 8
CASP8 Ligand Binding Site PredictionGonzalo Lopez, Iakes Ezkurdia and Michael TressCASP function prediction,A historical perspective In previous CASP experiments we evaluated function prediction based on GO term prediction. It became clear after
UC Davis - CASP - 8
Model quality assessmentAndriy Kryshtafovych Domenico CozzettoPredicting: Expected quality of a model (QMode 1) Expected error on residue C (QMode 2) Quoting the CASP web page:You may submit your quality assessment prediction in one of the two
UC Davis - CASP - 8
What does make a fold new?Narcis Fernandez-Fuentes and Andras FiserDepartment of Systems and Computational Biology Department of BiochemistryExpressing folds as sum of motifsC AABB COur concept of motif geometryDistance Delta Theta
UC Davis - CASP - 8
CASP8Disordered Regions: Physics & Biology6-Dec-2008Joel L. Sussman Weizmann Institute of Science1Panel - Physics of Disorder Liam McGuffin Lukasz Kozlowski Jianlin Cheng Uwe Sauer Shuichi Hirose2IUPs are NOT a single entity but a `sp
UC Davis - CASP - 8
Grand Ideas from CASPs: 1. Computers help structure prediction: no more paper models 2. Knowledgebased potentials work better. 3. Local "threading" and fragment assembly (Baker) 4. Averaging and consensus methods work: metaservers (GinalskiRychlews
UC Davis - CASP - 6
CASP6 Comparative modellingGaeta 2004Alfonso Valencia National Centre for Biotechnology - CSICAlfonso Valencia CNB-CSIC Gaeta, 2004CASP6 Comparative ModellingMichael TressIakes Ezkurdia Gonzalo Lpez Osvaldo Graa (contact prediction) Angel Ca
UC Davis - CASP - 6
CASP6 Disorder Prediction AssessmentYumi Jin Roland DunbrackPrediction FormatPFRMAT DR TARGET T0205 MODEL 1 S D 0.679 E D 0.552 E D 0.510 I D 0.500 T O 0.254 D O 0.160 G O 0.097 V O 0.472 N O 0.366 ROC CurvesFor each value of P in increments o
UC Davis - CASP - 6
CASP6 Contact PredictionGaeta 2004Alfonso Valencia National Centre for Biotechnology - CSICAlfonso Valencia CNB-CSIC Gaeta, 2004CASP6 Comparative ModellingMichael TressIakes Ezkurdia Gonzalo LpezOsvaldo Graa (Contact Prediction)Angel Carr
UC Davis - CASP - 6
Sala Meridiana 6th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction Program December 5th: Homology Based Modeling Day 9:00 10:00 10:40 11:10 11:30 11:50 12:10 12:30 12:50 13:00 14:30 Comparative mode
UC Davis - CASP - 7
CASP7 Domain Prediction EvaluationIakes Ezkurdia, Alfonso Valencia and Michael TressPlan of ActionAssessors Talk (25) minutes. What structural genomics inititiatives are looking for in domain predictions Scott Lesley, 10 minutes Predictors talks
UC Davis - CASP - 7
Protein Structure Prediction by Global Optimization: LEE (556)Keehyoung Joo, Jinwoo Lee, Sunjoong Lee, Joohyun Seo, Sung Jong Lee, Jooyoung LeeKorea Institute for Advanced Study (http:/gene.kias.re.kr/home)Asilomar CA USA, Nov. 26-30, 2006Cont
UC Davis - CASP - 7
An Optimized Neural Network for Contact PredictionGeorge Shackelford Kevin Karplus University of California, Santa CruzUCSC p. 1/2Using Contact Predictions3D structure prediction is hard. Local structure predictions like secondary structure pr
UC Davis - CASP - 7
Protein Structure Prediction by I-TASSER at CASP7Yang Zhang Center for Bioinformatics, Molecular Bioscience Department University of KansasMethodsI-TASSER procedureNew components of I-TASSER(since CASP6) 1. Four profile-profile alignment thre
UC Davis - CASP - 7
Swiss Institute of BioinformaticsAssessment of Template Based Modeling (TBM)CASP7 Meeting Asilomar, November 28, 2006Torsten Schwede Swiss Institute of Bioinformatics Biozentrum, University of BaselAcknowledgementsJrgen Kopp Lorenza Bordoli F
UC Davis - CASP - 7
Swiss Institute of BioinformaticsAssessment of Disorder PredictionCASP7 Asilomar, November 27, 2006 Lorenza BordoliFlorian Kiefer Torsten SchwedePrediction Format and DataThe symbols for the 2 state order/disorder prediction are 'O'=order, 'D'