MARINE GENOMICS

Understanding biological importance by evolutionary analyses of genomes, gene expression, and genetic divergence

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    Use tab to navigate through the menu items.

    Just a few links to helpful sites (Links in green).

     

    • Free Statistical Software

    • More Free Software

    • PowerAnalysis,  who knew power analyses could be so much fun.​

    • Microarray Statistics   

    • More links found here

     

    Pathway Analysis:  The two that works the best

    • David

    • GeneTools:  Annotation Database

        

    Important Papers on Microarray Analyses 

    • Statistical design and the analysis of gene expression microarray data

    • Using ANOVA to analyze microarray data

    • Fundamentals of experimental design for cDNA microarrays.

    • The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies.

    • Assessing gene significance from cDNA microarray expression data via mixed models.

    • Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation.

    •  Design issues for cDNA microarray experiments.

     

     

    Statistics

    Funhe-Evol.org - Laboratory of Marine Genomics at the University of Miami

    Principal Investigators: Dr. Marjorie Oleksiak & Dr. Douglas Crawford

                                                 Conatct Information: moleksiak@rsmas.miami.edu or dcrawford@rsmas.miami.edu                                             

    Updated: 2016