scholarly journals Statistical Analysis of Gel Electrophoresis Data

10.5772/36959 ◽  
2012 ◽  
Author(s):  
Kimberly F. ◽  
Jeffrey C.
Keyword(s):  
Statistical Analysis ◽  
Gel Electrophoresis

Processing of Data Generated by 2-Dimensional Gel Electrophoresis for Statistical Analysis:  Missing Data, Normalization, and Statistics

2004 ◽  
Vol 3 (6) ◽  
pp. 1210-1218 ◽  
Author(s):  
Jinsook Chang ◽  
Holly Van Remmen ◽  
Walter F. Ward ◽  
Fred E. Regnier ◽  
Arlan Richardson ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Missing Data ◽  
Gel Electrophoresis ◽  
Data Normalization

scholarly journals Macrorestriction Fragment Profiles Reveal Genetic Variation of Cowdria ruminantium Isolates

2000 ◽  
Vol 38 (5) ◽  
pp. 1967-1970 ◽  
Author(s):  
E. P. de Villiers ◽  
K. A. Brayton ◽  
E. Zweygarth ◽  
B. A. Allsopp
Keyword(s):  
Genetic Variation ◽  
Statistical Analysis ◽  
Gel Electrophoresis ◽  
Profile Analysis ◽  
Pulsed Field Gel Electrophoresis ◽  
Dna Probes ◽  
Restriction Endonucleases ◽  
Pulsed Field ◽  
Cowdria Ruminantium

Macrorestriction profile analysis by pulsed-field gel electrophoresis (PFGE) was used to distinguish between seven isolates of Cowdria ruminantium from geographically different areas. Characteristic profiles were generated for each isolate by using the restriction endonucleases KspI, SalI, andSmaI with chromosomal sizes ranging between 1,546 and 1,692 kb. Statistical analysis of the macrorestriction profiles indicated that all the isolates were distinct from each other; these data contribute to a better understanding of the epidemiology of this pathogen and may be exploited for the identification of genotype-specific DNA probes.

scholarly journals Statistical analysis of denaturing gel electrophoresis (DGE) fingerprinting patterns

2002 ◽  
Vol 4 (11) ◽  
pp. 634-643 ◽  
Author(s):  
N. Fromin ◽  
J. Hamelin ◽  
S. Tarnawski ◽  
D. Roesti ◽  
K. Jourdain-Miserez ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Gel Electrophoresis

scholarly journals Effect of POU1F1 Gene Haplotypes on Eights and Milk Production of Awassi Sheep

2019 ◽  
Vol 32 (2) ◽  
pp. 85-94
Author(s):  
Azhar A. Jaffar ◽  
Amad F. Hassan ◽  
Waleed Y. Kassim
Keyword(s):  
Statistical Analysis ◽  
Gel Electrophoresis ◽  
Pcr Amplification ◽  
Gene Bank ◽  
College Of Agriculture ◽  
Pou1f1 Gene ◽  
Nitrogen Bases ◽  
Awassi Sheep ◽  
Amplification Process ◽  
Productive Traits

The aim of the study was to detect polymorphism in the POU1F1 gene in Iraqi Awassi sheep breed, as well as to establish if haplotype of POU1F1 gene could be associated with productive traits. This study was carried out at Al-Kafeel station, Karbala city during the period of 01/10/2017 until 01/08/2018. The study included 46 Awassi ewes with their 52 lambs. The laboratory analyses were conducted at the Laboratory of Molecular Genetics, College of Agriculture, University of Basrah. Results showed the successfulness of the PCR amplification process for all six examined fragments of the POU1F1 gene. Gel electrophoresis was conducted using agarose 2%, the product sizes were 637bp, 789bp, 999bp, 868bp, 1190 bp, and 469bp for the fragments P1, P2, P3, P4, P5, and P6 respectively. The analysis of the nitrogen bases sequences of the POU1F1 gene for the studied fragments showed a change in 12 different sites of the gene. These changes resulted in 7 haplotypes of H1-H7. The results showed significant influence (P<0.05) in haplotypes of the POU1F1 gene on birth weight . However, haplotypes showed no significant effect on lambs’ weights at weaning, six months and daily weight gains during all periods. Statistical analysis showed that different haplotypes of the POU1F1 gene did not influence on milk productive traits. The examined fragments of the POU1F1 Awassi gene have been submitted to Gene Bank under the accession numbers (LC469323 to LC469349).

Statistical Analysis of the Experimental Variation in the Proteomic Characterization of Human Plasma by Two-Dimensional Difference Gel Electrophoresis

2006 ◽  
Vol 5 (10) ◽  
pp. 2611-2619 ◽  
Author(s):  
Todd H. Corzett ◽  
Imola K. Fodor ◽  
Megan W. Choi ◽  
Vicki L. Walsworth ◽  
Brett A. Chromy ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Human Plasma ◽  
Gel Electrophoresis ◽  
Two Dimensional ◽  
Experimental Variation ◽  
Difference Gel Electrophoresis

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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