Volume 7, Issue 1, June 2019, Page: 1-4
Transcription Direction Patterns of Adjacent Genes in Mycobacterium Tuberculosis Using GENAVIS
Angela Uche Makolo, Department of Computer Science, University of Ibadan, Ibadan, Nigeria
Received: Feb. 2, 2019;       Accepted: Mar. 22, 2019;       Published: Apr. 18, 2019
DOI: 10.11648/j.cbb.20190701.11      View  44      Downloads  12
The understanding of the relationship of a gene with other genes in its neighbourhood and the implication of this relationship on the biochemical activities of the entire genome need an efficient computational tool to unfold the relationship. GENAVIS: (GENe Adjacency VIsualization Software) is an open source, platform independent web-based software for modeling neighborhood genes as binary codes. We also incorporated the feature of having an interactive visual representation of patterns of the binary code for a specific gene family in multiple microbial genomes. The concept of using binary code for representation is derived from computational thinking techniques which models problems using computer logic of applying abstraction and pattern matching to extract hidden patterns aimed at knowledge discovery. The result provides an insight into the analysis of transcriptional unit with more than one gene and genes encoding for universal stress protein, which also allows for a comparative analysis of multiple genomes as the basis for biosynthetic pathways and multi-gene function prediction.
Neighbourhood, Adjacency, Transcription Direction, Universal Stress Protein, Binary Code
To cite this article
Angela Uche Makolo, Transcription Direction Patterns of Adjacent Genes in Mycobacterium Tuberculosis Using GENAVIS, Computational Biology and Bioinformatics. Vol. 7, No. 1, 2019, pp. 1-4. doi: 10.11648/j.cbb.20190701.11
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