Team:CBNU-Korea/Methods/Stat

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Revision as of 21:33, 5 October 2011 by WoodJs (Talk | contribs)


We analysis basic statistics and graph to study characterization of various parameter about 15 species. After classified EG, strand, direction, we analysis mean, standard deviation about 15 species. As a results of analysis, group mean is similar with no significant difference. Also, standard deviation can be said to satisfy the homoscedacity without a significant difference. So, the test about average difference of DistToOri was meaningless. Therefore, analysis of frequency about species.

To find out the characteristics of species, we draw a histogram like that.
-The frequency of gene about scale

-The frequency of scale about strand and direction

-The frequency of gene about two group (leading, lagging)


Before the estimation of distribution, we start to study about transform dataset of Gamma’s 8 species and analysis basic statistics and graph. We make all Gamma’s data (NC_000907 (Haemophilus influenzae Rd KW20), NC_000913 (Escherichia coli MG1655), NC_002505 (Vibrio cholerae N16961), NC_002506 (Vibrio cholerae N16961), NC_003197 (Salmonella typhimurium LT2), NC_004631 (Salmonella enterica serovar Typhi), NC_005966 (Acinetobacter baylyi ADP1), NC_008463 (Pseudomonas aeruginosa UCBPP-PA14)) into one data set(dataset gamma_all)



To see if the proportion between the essential gene is differences in gamma, we performed the hypothesis test. Hypotheses are as follows.