Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/12671
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dc.contributor.authorSalheein, Dania Abd Allah-
dc.contributor.authorHussain, Reem Hassan-
dc.contributor.authorElmodther, Wafa Mohammed-
dc.date.accessioned2016-02-07T11:45:27Z-
dc.date.available2016-02-07T11:45:27Z-
dc.date.issued2015-10-01-
dc.identifier.citationSalheein,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 searchen_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/12671-
dc.descriptionBachelors searchen_US
dc.description.abstractThe 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.sponsorshipSudan University of Sciences and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Sciences and Technologyen_US
dc.subjectProteinen_US
dc.subjectCancer Detectionen_US
dc.subjectCanceren_US
dc.subjectBiomedicalen_US
dc.titleCancer Detection Using Protein Sequence Analysisen_US
dc.typeThesisen_US
Appears in Collections:Bachelor of Engineering

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