Document Type
Thesis
Date of Award
Spring 5-31-2003
Degree Name
Master of Science in Computational Biology - (M.S.)
Department
Federated Department of Biological Sciences
First Advisor
Michael Recce
Second Advisor
Sanjay V. Malhotra
Third Advisor
William John Skawinski
Abstract
The human genome microarrays from Compugen® and Affymetrix® were compared in the context of the emerging field of computational biology. The two premier database servers for genomic sequence data, the National Center for Biotechnology Information and the European Bioinformatics Institute, were described in detail. The various databases and data mining tools available through these data servers were also discussed. Microarrays were examined from a historical perspective and their main current applications-expression analysis, mutation analysis, and comparative genomic hybridization-were discussed. The two main types of microarrays, cDNA spotted microarrays and high-density spotted microarrays were analyzed by exploring the human genome microarray from Compugen® and the HGU133 Set from Affymetrix® respectively. Array design issues, sequence collection and analysis, and probe selection processes for the two representative types of arrays were described. The respective chip design of the two types of microarrays was also analyzed. It was found that the human genome microarray from Compugen 0 contains probes that interrogate 1,119,840 bases corresponding to 18,664 genes, while the HG-U133 Set from Affymetrix® contains probes that interrogate only 825,000 bases corresponding to 33,000 genes. Based on this, the efficiency of the 25-mer probes of the HG-U133 Set from Affymetrix® compared to the 60-mer probes of the microarray from Compugen® was questioned.
Recommended Citation
Misra, Milind, "An application in bioinformatics : a comparison of affymetrix and compugen human genome microarrays" (2003). Theses. 628.
https://digitalcommons.njit.edu/theses/628
