'Yeast genome' diaporamas de présentation

Basic Bioinformatics and Gene Effects on Growth Rate in Bacteria

Basic Bioinformatics and Gene Effects on Growth Rate in Bacteria. Dr. Md. Aminul Hoque Date: 24-03-2012 E-mail: mdaminulh@gmail.com. Outlines. Bioinformatics Definition Short History of Bioinformatics Branch of Bioinformatics Bioinformatics in Research World Our Position and Level

1.42k views • 99 slides

V12: Reliability of Protein Interaction Networks

V12: Reliability of Protein Interaction Networks. Direct comparison of different data sets Bayesian Network approach. High-throughput methods for detecting protein interactions.

558 views • 44 slides

V10: Reliability of Protein Interaction Networks

V10: Reliability of Protein Interaction Networks. Direct comparison of different data sets Bayesian Network approach. High-throughput methods for detecting protein interactions.

548 views • 44 slides

Molecular and Cellular Bioengineering

Molecular and Cellular Bioengineering. Yingxiao Wang. Beckman 4261 x36727 yingxiao@uiuc.edu . http://imaging.bioen.uiuc.edu/yingxiao_wang/classes.htm. Objective.

640 views • 35 slides

Naveen K. Bansal and Prachi Pradeep Dept. of Math., Stat., and Comp. Sci. Marquette University

Testing Multiple Hypotheses for Detecting Targeted Genes in an Experiment Involving MicroRNA. Naveen K. Bansal and Prachi Pradeep Dept. of Math., Stat., and Comp. Sci. Marquette University Milwaukee, WI (USA) Email: naveen.bansal@mu.edu a nd Hongmei Jiang Dept. of Statistics

469 views • 33 slides

BI 83201: The Literature of Computational Genomics

BI 83201: The Literature of Computational Genomics. Instructor: Prof. Jeffrey Chuang Meeting Time: Fridays 10:30-11:45 Higgins 465 Requirements: Read and discuss 1-2 papers per week. Grading will be based on participation. Attendance at all sessions is mandatory.

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BI 83201: The Literature of Computational Genomics

BI 83201: The Literature of Computational Genomics. Instructor: Prof. Jeffrey Chuang Meeting Time: Fridays 10:30-11:45 Higgins 465 Requirements: Read and discuss 1-2 papers per week. Grading will be based on participation. Attendance at all sessions is mandatory.

323 views • 32 slides

Uses of Microarrays in Research

Uses of Microarrays in Research. Anne Rosenwald Georgetown University. Schena, Shalon, Davis, and Brown (1995) Science 270, 467 Differential expression of 45 Arabidopsis genes!. Microarrays in Research: A Survey of PubMed. Recent Microarray Papers: I. New Techniques/Applications.

366 views • 26 slides

Genome analysis

Bioinformatics. Genome analysis. Contents. Genome annotation Comparative genomics Phylogenetic profiles Gene fusion analysis Phylogenetic footprinting. Bioinformatics. From sequences to genomes. From sequences to genomes.

362 views • 25 slides

Genome analysis

Bioinformatics. Genome analysis. Contents. Genome annotation Comparative genomics Phylogenetic profiles Gene fusion analysis Phylogenetic footprinting. Bioinformatics. From sequences to genomes. From sequences to genomes.

311 views • 25 slides

Analysis of microarray data

Analysis of microarray data. Introduction. Microarrays are chips which measure whether genes are switched on or off in cells. They can be used to detect sets of genes responsible for genetic diseases such as cancer. This lecture: introduce microarray technology discuss a few applications

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Inference of Poisson Count Processes using Low-rank Tensor Data

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Genomes & Gene Organization

291 views • 7 slides