PPT-Simultaneous Clustering of Multiple Gene Expression

Author : conchita-marotz | Published Date : 2016-07-17

and Physical Interaction Datasets Manikandan Narayanan Adrian Vetta Eric E Schadt Jun Zhu PLoS Computational Biology 2010 Presented by Tal Saiag Seminar in Algorithmic

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Simultaneous Clustering of Multiple Gene..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Simultaneous Clustering of Multiple Gene Expression: Transcript

and Physical Interaction Datasets Manikandan Narayanan Adrian Vetta Eric E Schadt Jun Zhu PLoS Computational Biology 2010 Presented by Tal Saiag Seminar in Algorithmic Challenges in Analyzing Big Data in Biology and . Inducible gene expression. kinetics of . β-galactosidase. enzyme induction. Add inducer. start transcription = mRNA accumulation. mRNA translation = protein accumulation. Remove inducer. Stop. transcription (. Beth . Benas. Rizwan. . Habib. Alexander . Lowitt. Piyush. . Malve. Contents. What is Gene Clustering?. Two or more genes that code for the same or similar products. Two different processes for duplication of original genes via: . The problem to be solved (an example). Hauf, J., Zimmermann, F.K., M. ü. ller, S., 2000. Simultaneous genomic over expression of seven glycolytic enzymes in the yeast Saccharomyces cerevisiae. Ezyme. Microbiol. Technol.. Bing Zhang. Department of Biomedical Informatics. Vanderbilt University. bing.zhang@vanderbilt.edu. Overall workflow of gene expression studies. Microarray. Biological question. Experimental . design. . Kasturi. , Raj . Acharya. , . Shruthi. . Prabhakara. Department of Computer Science and Engineering, Penn State University. Clustering is performed using the k-. medoid. procedure on the RBF-fitted genes using . What does the operon model attempt to explain?. the coordinated control of gene expression . in bacteria. bacterial resistance to antibiotics. how genes move between homologous regions of DNA. the mechanism of viral attachment to a host cell. http://. www.cbioportal.org/index.do. Web resource for exploring, visualizing, and analyzing . multidimentional. cancer genomics data. cBioPortal. : Purpose and Advantages. reduces. . molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. Pre-transcriptional regulation. chromatin compaction . eg. . deacetylation. , . methylation. transcriptional initiation . ie. transcription factors to activate or repress. alternative promoters =. Gene Expression. Gene Expression. Transcription. Splicing. Polyadenylation. mRNA Stability. Translation. Protein Stability. Controls on Protein Levels. Transcription Control - Prokaryotic Promoter. Transcription Control - Prokaryotic Promoter. Drosophila. Embryos using . lacZ. Transgenes. June 18. th. ABLE 2014. University of Oregon, Eugene. Cathy Silver Key. Julie Gates. Jessica Sawyer. Kirsten . Guss. Acknowledgements. Funding from . Roberta . Web resource for exploring, visualizing, and analyzing . multidimentional. cancer genomics data. cBioPortal. : Purpose and Advantages. reduces. . molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. We performed a genome-wide analysis of gene expressionto identify germline- and sex-regulated genes.Using mutants that cause defects in germ cell proliferationor gametogenesis, we identiÞed sets of g Bioinformatics for Genomics. Lecture 5: . Advanced clustering. Sven Bergmann. Department of Computational Biology. (. Sven.Bergmann@unil.ch. ). Analysis tools for large datasets. . Standard tools. k-means, PCA, SVD. A Big Thanks. Prof. Jason . Bohland. Quantitative Neuroscience Laboratory. Boston University. The Process. Construction and representation of the Anatomic Gene Expression Atlas (AGEA). . Allen Reference Atlas.

Download Document

Here is the link to download the presentation.
"Simultaneous Clustering of Multiple Gene Expression"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.