Getting poster data...
Angela Makolo, Raphael D. Isokpehi (of Computer Science, University of Ibadan, Nigeria;College of Science, Engineering and Mathematics, Bethune-Cookman University, Daytona Beach, FL, USA)The exponential increase in whole genome sequences of bacteria and archaea presents a source of large and complex data on functional and structural annotations of genes. The annotations for function and transcriptional direction of genes adjacent to a gene locus in genomes of bacteria and archaea can be informative on biological process that involve the gene. Therefore, we developed a computational pipeline to generate a 3-digit binary code for each protein-coding gene based on the transcriptional direction of adjacent genes. A binary code for 111 indicates that the adjacent genes are in same transcriptional direction. We then developed interactive visual representations of patterns of the binary code for a specific gene family in multiple microbial genomes. In particular, comparison of genomes from same genus has been useful for identifying member of the universal stress proteins (pfam00582) that are part of multi-gene transcription units. The findings are basis for experiments to evaluate stress response biomolecular networks. The software for generating the binary codes from genome annotation files is available at http://bioinformatics.ui.edu.ng/geneadjacency/