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Computational Analysis Of Differentially Expressed Genes In Mycobacterium Tuberculosis Infection

Mosaku, Abayomi and Rotimi, S. O and John, S. N. and Adebiyi, Ezekiel and Saraiva, Joao Pedro Leonor Fernandes and Koenig, Rainer (2015) Computational Analysis Of Differentially Expressed Genes In Mycobacterium Tuberculosis Infection. In: 2nd Covenant University Conference on African Development Issues (CU-ICADI), 11th - 13th May, 2015, Africa Leadership Development Center, Covenant University, Ota, Nigeria..

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Tuberculosis remains a serious social and public health problem, affecting millions of people annually, and is reported at the end of 2014 by the World Health 01·ganization as one of the world's deadliest communicable diseases. The most challenging being the multi-drug resistant strains of the mycobacterium. Anothe1· maj01· challenge fmstmting the effective control of this disease, especially in po01· countries, is the long time taken to diagnose it, the standa1·d diagnosis of TB is by miuoscopy, but this does not give any inf01·mation on d1·ug-resistance - the cell culture tests take two weeks, by which time it might have sp1·ead to many othe1· people. In this project, the autho1·s utilized various Statistical and Computational techniques to analyze and discove1· genes that a1·e diffe1·entially exp1·essed in human blood cell (Peripheml blood mononuclea1· cells, PBMCs) subsequent to its stimulation with heat-killed Mycobacterium on comparison with an Roswell Pa1·k Memorial Institute (RPMI) culture medium as a control. Using this in-silico technique, some unique bioma1·kers we1·e discove1·ed which a1·e fm'the1· discussed in details. These bioma1·ken identified as diffe1·entially exp1·essed in the human blood cell will not only enhance om· understanding of the pathogen, but is also a spring boa1·d fo1· the completion of an Electronic hand-held, DNA-Based Tube1-culosis diagnosis device. Om· anticipated new technology is at the intersection of genetics and compute1· science that will be used f01· rapid and early detection of Mycobacterium Tuberculosis infection, a pedect altemative to all existing symptom based diagnostic tool.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Tuberculosis, Mycobacterium tuberculosis, Illumina Micro Array, Gene Expression Data, Big Data, Bioinformatics, Computational Biology, Diagnosis, Handheld device, Personalized Medicine
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QR Microbiology
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 25 Jun 2015 16:15
Last Modified: 25 Jun 2015 16:15

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