'Gene networks' diaporamas de présentation

Altai State Technical University, Barnaul Sobolev Institute of Mathematics, Novosibirsk

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What we have learned from GWAS

Statistical Methods to Prioritize GWAS Results by Integrating Pleiotropy and Annotation Hongyu Zhao Yale School of Public Health June 25, 2014 Joint work with Min Chen, Lin Hou , Tianzhou Ma, Can Yang, Dong-Jun Chung, Cong Li, Judy Cho, Joel Gelernter. What we have learned from GWAS.

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2007 Synthetic Biology Team Challenge

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Molecular Regulation of Development. Growth factor signaling, Hox genes and the body plan

Molecular Regulation of Development. Growth factor signaling, Hox genes and the body plan. ??? zhangxianning@zju.edu.cn Tel? 13105819271; 88208367 Office: A705, Research Building 2012/09. ????? Birth defect ????????.

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Uses of microarrays and related methodologies in animal breeding

Uses of microarrays and related methodologies in animal breeding. Bruce Walsh, jbwalsh@u.arizona.edu University of Arizona (Depts. of Ecology & Evolutionary Biology, Molecular & Cellular Biology, Plant Sciences, Animal Sciences, and Epidemology & Biostatistics).

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The Structure, Function, and Evolution of Biological Systems

The Structure, Function, and Evolution of Biological Systems. Instructor: Van Savage Spring 2010 Quarter 4 /22/ 2010. Other important ways to construct gene networks: Gene regulation and motifs. Organism must be able to respond to environment and gene expression is one way to do this

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A comparative approach for gene network inference using time-series gene expression data

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Combinatorial Synthesis of Genetic Networks

Combinatorial Synthesis of Genetic Networks. Guet et. al. Andrew Goodrich Charles Feng. How Do Cells Repond?. Signal Transduction Network Proteins activate in a chain (phosphorylation) E.G. E. Coli swimming to aspartate. D. Bray, Proc. Natl. Acad. Sci. U.S.A. 99, 7 (2002).

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Using Bayesian Networks to Analyze Expression Data

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A mouse

Expression signatures as biomarkers: solving combinatorial problems with gene networks Andrey Alexeyenko Department of Medical Epidemiology and Biostatistics, Karolinska Institute. High-throughput evidence. A mouse. Find orthologs. Human. ?. Rat. Fly. B mouse. Yeast.

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Presentations

Presentations. 27.07.09 (1 presentation: Team 1) 28.07.09 (2 presentations: Team 3, Team 2) 29.07.09 (1 presentation: Team 4). Goals of Functional Genomics.

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Biological Networks & Systems

Biological Networks & Systems. Anne R. Haake Rhys Price Jones. Gene Networks.

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Engineered bacteriophage targeting gene networks as adjuvants for antibiotic therapy

Engineered bacteriophage targeting gene networks as adjuvants for antibiotic therapy. Yang Xin Paper presentation PNAS 2009, 106(12):4629-4634. Introduction. Antimicrobial drug development is increasingly lagging behind the evolution of antibiotic resistance

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MRF-based Fitting of a Subdivision-based Geometric Atlas

MRF-based Fitting of a Subdivision-based Geometric Atlas. Yen Le Computational Biomedicine Lab Advisor: Prof. Ioannis A. Kakadiaris. Introduction. Problem statement: Fitting a subdivision mesh-based geometric atlas onto an image. Registration of mouse brain gene expression images.

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GRAIL: Scalable Reachability Index for Large Graphs

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Reconstructing Gene Networks

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from Newman & Banfield, Science, 2002

-. from Newman & Banfield, Science, 2002. Types of models for systems biology. From Price & Shmulevich, 2007, Curr Opinion Biotech. Biochemical reaction network. Selected known pathways and generated two-organism model 170 reactions; 147 compounds in stoich matrix

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Intelligent systems in bioinformatics

Intelligent systems in bioinformatics. Introduction to the course. Contact details. Dr. Karen Page Computer Science - Room G50a Tel: 020 7679 3683 (internal: 33683) Email: k.page@cs.ucl.ac.uk http://www.cs.ucl.ac.uk/staff/K.Page. Lecture format.

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Network Motifs

Network Motifs. Zach Saul CS 289 Network Motifs: Simple Building Blocks of Complex Networks R. Milo et al. Network Models. Interactions are represented as directed nodes (as presented in class)

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