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Cancer Detection Using Protein Sequence Analysis

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dc.contributor.author Salheein, Dania Abd Allah
dc.contributor.author Hussain, Reem Hassan
dc.contributor.author Elmodther, Wafa Mohammed
dc.date.accessioned 2016-02-07T11:45:27Z
dc.date.available 2016-02-07T11:45:27Z
dc.date.issued 2015-10-01
dc.identifier.citation Salheein,Dania Abd Allah.Cancer Detection Using Protein Sequence Analysis/Dania Abd Allah Salheein,Reem Hassan Hussain,Wafa Mohammed Elmodther;Alkhatim Mohammed Ahmed.-khartoum:Sudan University of Sciences and Technology,College Of Engineering,2015.-85p:ill;28cm.- Bachelors search en_US
dc.identifier.uri http://repository.sustech.edu/handle/123456789/12671
dc.description Bachelors search en_US
dc.description.abstract The protein is a single ,un branched chain of amino acids ;it has 20 different types of amino acids and these amino acid sequence determine the three dimensional structure of the protein in turn determine it’s function because any change in the arrangement of the amino acid sequence can affect the protein’s function. This change in the function could be the beginning of infecting of cancer but we cannot detect the cancer by the medical imaging devices in this level if it does not spread in many number of cells. The objective of this research is to analyze the protein sequence of normal and cancerous organs using a database of DNA sequence of these organs and detect the difference between them using statistical analysis from bioinformatics tools and proof the results of this analysis by using sequence dot plot and global alignment . After using all these analysis tools we find that the average of the difference that be detected is 81.857%. en_US
dc.description.sponsorship Sudan University of Sciences and Technology en_US
dc.language.iso en en_US
dc.publisher Sudan University of Sciences and Technology en_US
dc.subject Protein en_US
dc.subject Cancer Detection en_US
dc.subject Cancer en_US
dc.subject Biomedical en_US
dc.title Cancer Detection Using Protein Sequence Analysis en_US
dc.type Thesis en_US


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