Multimedia support in the education of clinical and health care disciplines
MEFANET Project (MEdical FAculties Educational NETwork)
Faculty of Medicine, Masaryk University
Committee for Information Technologies in Medicine, MU’s Faculty of Medicine
Institute of Biostatistics and Analyses, Faculty of Medicine and Faculty of Science, Masaryk University

Analysis of genomic and proteomic data

Analysis of genomic and proteomic data

This e-learning educational textbook is dedicated to analysis of data from genomic and proteomic high-throughput experiments, such as microarrays, MASS spectrometry, 2-D gel eletrophoresis and DNA sequencing.The book discuss all the important analytical steps from pre-processing through differential gene(protein)-expression to pathways and meta-analysis of multiple experiments. Interactive examples in R and lectures in video format are provided. This educational material contains contributions of different experts in the field from all over the Europe. The content in this e-learning material will be up-dated and extended so that it reflects the latest knowledge in this field.

 


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Keywords: genomics, proteomics, gene expression, dna, microarray, data analysis, regression, prediction

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Textbooks and manuals
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Educational websites and atlases
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Digital video
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Presentations and animations
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Casuistics in images
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E-learning courses (LMS)
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Unreviewed

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Complex
   
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Creative Commons LicenseContribution content is subject to licence Creative Commons Uveďte autora-Neužívejte dílo komerčně-Nezasahujte do díla Attribution 3.0 Czech Republic
author: Mgr. Eva Budinská, Ph.D., collective of authors | organization: Institute of Biostatistics and Analyses | published on: 13.1.2010 | last modified on: 13.1.2010
citation: Budinská Eva, collective of authors: Analysis of genomic and proteomic data. Multimedia support in the education of clinical and health care disciplines :: Portal of MU’s Faculty of Medicine [online] 2010-01-13, last modif. 2010-01-13 [cit. 2012-05-16] Available from WWW: <http://portal.med.muni.cz/article-515-analysis-of-genomic-and-proteomic-data.html>. ISSN 1801-6103.
 

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