'Gene expression analysis' presentation slideshows

Gene expression analysis

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2nd McKim Workshop, Baltimore 2012

2nd McKim Workshop, Baltimore 2012. Identification of non-genotoxic carcinogens based on mechanisms. Jan van Benthem National Institute for Public Health and the Environment Laboratory for Health Protection Research Bilthoven, The Netherlands.

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From motif search to gene expression analysis

From motif search to gene expression analysis. Protein Motifs. Protein motifs are usually 6-20 amino acids long and can be represented as a consensus/profile:. P[ED]XK[RW][RK]X[ED]. or as PWM. Protein Domains. In additional to protein short motifs, proteins are characterized by Domains.

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Gene Expression Analysis using Microarrays

Gene Expression Analysis using Microarrays. Anne R. Haake, Ph.D. Figure by Lawrence Berkeley Lab Human Genome Center, Berkeley, California, USA. Post-Genomic Age ?. A switch in focus from sequencing to understanding how genomes function.

733 views • 39 slides

Gene Expression Analysis

Gene Expression Analysis. Gene Expression. protein. RNA. DNA. Gene Expression. AAAAAAA. AAAAAAA. AAAAAAA. AAAAAAA. AAAAAAA. AAAAAAA. AAAAAAA. AAAAAAA. AAAAAAA. mRNA gene1. AAAAAAA. AAAAAAA. AAAAAAA. AAAAAAA. AAAAAAA. mRNA gene2. AAAAAAA. AAAAAAA. AAAAAAA. AAAAAAA.

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Plant Genetic Engineering

Plant Genetic Engineering. Sun Yue. Plant Genetic Engineering.

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Genomic Medicine: A Revolution in Medical Practice in the 21 st Century

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A Genetical Genomics Project

A Genetical Genomics Project. Richard Mott Wellcome Trust Centre for Human Genetics. Project Summary. Gene Expression Analysis Gene Coexpression Networks Comparison between tissues Comparison with phenotypes Gene Ontology Analysis

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faculty.ucr/~tgirke/Teaching/Gen240B_2003

Web-based/Open-source Tools for Bioinformatics and Genome Analysis. http://www.faculty.ucr.edu/~tgirke/Teaching/Gen240B_2003.ppt. Bioinformatics Areas. A. Traditional Bioinformatics Sequence analysis Gene expression analysis Proteomics Metabolic profiling Phenotypes Networks

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Microarray data analysis

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Global expression analysis

Global expression analysis. Monday 10/1: Intro * 1 page Project Overview Due Intro to R lab Wednesday 10/3: Stats & FDR - * read the paper! Monday 10/8: Calling differentially expressed genes with baySeq - *read the paper! baySeq lab for RNA-seq data

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Limsoon Wong KRDL

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CELL

CELL. Building blocks of life Chemical system able to maintain its structure and reproduce Cells ? tissues ? organs? Organism PROKARYOTES Primitive organisms Rigid cell walls DNA found in Nucleoid EUKARYOTES Plasma membrane(animals) cell wall(plants) Large nucleus Chromosome.

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Prognose mittels Genexpression

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Gene Expression Platforms for Global Co-Expression Analyses

CATG. CATG. CATG. CATG. CATG. CATG. CATG. SAGE

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A Toledo-Arana et al. Nature 000 , 1- 7 (2009) doi:10.1038/nature080 80

Gene expression analysis. A Toledo-Arana et al. Nature 000 , 1- 7 (2009) doi:10.1038/nature080 80.

88 views • 1 slides