'Regulatory networks' diaporamas de présentation

V10 Transcriptional regulatory networks - introduction

V10 Transcriptional regulatory networks - introduction. Typical promoter region of a prokaryotic gene. The TTGACA and TATAAT sequences at positions -35 and -10 nucleotides are not essential. The preference for the correspon-ding nucleotide at each position is between 50 and 80%.

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Content CellDesigner overview

Lecture 3: Pathway Generation Tool I: CellDesigner: A modeling tool of biochemical networks Y.Z. Chen Department of Pharmacy National University of Singapore Tel: 65-6616-6877; Email: phacyz@nus.edu.sg ; Web: http://bidd.nus.edu.sg. Content CellDesigner overview

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V11: Genetic networks

V11: Genetic networks. Methods to describe genetic networks: (1) boolean networks (today) (2) clustering gene expression data ( ? Bioinformatics II lecture) Clustering is a relatively easy way to extract useful information out of large-scale gene expression data sets.

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BIOLOGICAL REGULATION NETWORKS

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Inferring Transcriptional Regulatory Networks from Gene Expression Data II

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Statistical Bioinformatics

Statistical Bioinformatics Genetic association Genomics Transcriptomics Proteomics Regulatory networks Statistical Bioinformatics Genetic association Genomics Transcriptomics Proteomics Regulatory networks QTL analysis and association mapping in plants Diploid inbreeders eg barley

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Modelisation and Dynamical Analysis of Genetic Regulatory Networks

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Computational Biology

Computational Biology. Trends and Careers. www.flickr.com. Introduction. Olena Marchenko , Senior, Colby College: Computer Science and Molecular Biology. Manasi Vartak , Senior, Worcester Polytechnic Institute: Computer Science and Math.

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Qualitative Modeling and Simulation of Genetic Regulatory Networks

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The NIH Roadmap

The NIH Roadmap. Imperatives for NIH. Accelerate pace of discoveries in life sciences More rapid translation from laboratories to patients and back Develop novel approaches orders of magnitude more effective than current ones Develop new strategies = NIH Roadmap.

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Inferring Regulatory Networks from Gene Expression Data

Inferring Regulatory Networks from Gene Expression Data. BMI/CS 776 www.biostat.wisc.edu/~craven/776.html Mark Craven craven@biostat.wisc.edu April 2002. Announcements. HW #2 due Monday project proposals due Monday reading for next week

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Transcription factor binding sites and gene regulatory network

Transcription factor binding sites and gene regulatory network. Victor Jin Department of Biomedical Informatics The Ohio State University. Transcription in higher eukaryotes. Gene Expression Chromatin structure Initiation of transcription Processing of the transcript

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Revising the Cell Ontology

Revising the Cell Ontology. Terrence Meehan, Christopher Mungall , Alexander Diehl The Jackson Laboratory Lawrence Berkeley National Laboratory University at Buffalo School of Medicine and Biomedical Sciences. Background.

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Network Analysis

Network Analysis. Group Meeting Talk Aidi Stan, Feb 28. Network Analysis. Any type of analysis that involves network information ( pathway ), including Regulatory analysis find controllers ( Network controllability) Pathway analysis summarize and compare Other analysis

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Grand Challenge IV

Grand Challenge IV. Understanding how genomes produce organisms. Sea urchin larvae. David Raible Board Member, Society for Developmental Biology Professor, University of Washington. Grand Challenge IV. Understanding how genomes produce organisms Generation of organismal diversity.

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Pathways, Networks and Systems Session Introduction

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Final Project. ?????????. Gene Regulatory Networks and the Evolution of Animal Body Plans. GRNs. GRNs: large gene regulatory networks Control development of the animal body Evolution of body plans depend upon architecture of development GRNs. Pleiotropic.

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Motif discovery in co-regulated genes

Motif discovery in co-regulated genes. Jeremy Glasner Genetics 875 December 7, 2007. www.biostat.ucsf.edu/cbmb/bmi209.fall05/fall2004/lectures/bmi209-lecture9.pdf. Transcriptional regulatory regions (cis regulatory elements). From microarrays to regulatory networks.

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Final

Final. Describe how living things cope with the second law of thermodynamics A test statistic is A function W( X ) of the random sample X A statement about a parameter of a population A specific kind of statistical procedure None of the above. Final.

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Retroviral Links to Cancer

Retroviral Links to Cancer . Gilbert W Cole University of North Carolina At Charlotte Sandra Gesing Ph.D. University of Edinburgh. Regulatory Networks & miRNA. Gene Regulator Networks control the functions of the cell Molecular Signals are used for intracellular communication

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