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An investigation of conserved coexpression in bacteria

An investigation of conserved coexpression in bacteria. Nels Thorsteinson. Research and Training Centre on Bioinformatics Institute for Information Transmission Problems Russian Academy of Sciences. Биоинформатика. Introduction. Coexpression groups of genes with similar expression profiles

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An investigation of conserved coexpression in bacteria

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  1. An investigation of conserved coexpression in bacteria Nels Thorsteinson Research and Training Centre on Bioinformatics Institute for Information Transmission Problems Russian Academy of Sciences Биоинформатика

  2. Introduction • Coexpression • groups of genes with similar expression profiles • measured by Pearson correlation • involved in similar functions • Conserved coexpression • groups of genes which are coexpressed in multiple species • involved in core biological processes

  3. Methods • Public data from GEO, Array Express, Stanford Escherischia coli Bacillus subtilis Mycobacterium tuberculosis Vibrio cholera Streptococcus pneumonia Campylobacter jejuni Streptomyces coelicor • NCBI’s COG database • Orthologue assignment • STRING database • Evaluation of coexpression networks

  4. E V C M B S S

  5. Methods • Functional classification of the genes in the conserved coexpression network • Only one third of gene pairs consist of genes belonging to the same operon

  6. Conclusion • The more genomes used when calculating a conserved coexpression network, the higher the correlation to functional interactions • The further the distance between the species for which a conserved coexpression network is calculated, the higher the correlation of the resulting network to functional interactions • Presented conserved coexpression network

  7. Acknowledgements Mikhail Gelfand Anya Gerasimova Alexey Kazakov Artem Cherkasov Research and Training Centre on Bioinformatics Institute for Information Transmission Problems Russian Academy of Sciences Биоинформатика

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