Homam, H. (2005). EFFECT OF RELATIVE MOBILITY OF FRAGMENTS ON DATA DEVIATION.. Journal of Plant Protection and Pathology, 30(7), 4201-4215. doi: 10.21608/jppp.2005.238981
H. B. Homam. "EFFECT OF RELATIVE MOBILITY OF FRAGMENTS ON DATA DEVIATION.". Journal of Plant Protection and Pathology, 30, 7, 2005, 4201-4215. doi: 10.21608/jppp.2005.238981
Homam, H. (2005). 'EFFECT OF RELATIVE MOBILITY OF FRAGMENTS ON DATA DEVIATION.', Journal of Plant Protection and Pathology, 30(7), pp. 4201-4215. doi: 10.21608/jppp.2005.238981
Homam, H. EFFECT OF RELATIVE MOBILITY OF FRAGMENTS ON DATA DEVIATION.. Journal of Plant Protection and Pathology, 2005; 30(7): 4201-4215. doi: 10.21608/jppp.2005.238981
EFFECT OF RELATIVE MOBILITY OF FRAGMENTS ON DATA DEVIATION.
The results give evidence that. the proper choice of electrophoretic mobility (greater extend or smaller extend) of peR fragments according to:
I· At emerge of strong amplification of peR product and intense fragments from agarose well to gel matrix; this condition need to greater extend (tong Rm).
II· At emerge of poor amplification of peR product and faint fragments from agarose well to gel matrix. this condition need to smaller extend (small Rm). Maximizing the number of fragments by greater extend in the case of strong amplification and keeping of the stability of the number of fragments by smaller extend in case of poor amplification is the suitable choosing for Rm. of RAPO·PCR fragments. The previous condition will increase the characters (uni1s) which used in Operational Taxonomic Units (OTUs) to give more quantity and quality differences among tested variables. Additional analysis can then be undertaken on the dendrogram to assess the distinctness and validity of clusters. and constant characters for later use in diagnostic schemes can be determined. The choice of electrophoretic mobility becomes a methodological factor to obtain optimal resolution. discriminate the cryptic data, give unique patterns and avoid Ihe deviation in data. Eculidian distance. Size differences, Lambada and Anderberg.sO cluster analysis are used in intraspeslflc variation.
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