BMC Genomics

official impact factor 4.21

Open Access Highly Access Research article

Epigenetic regulation of the honey bee transcriptome: unravelling the nature of methylated genes

Sylvain Foret1, Robert Kucharski2, Yvonne Pittelkow1, Gabrielle A Lockett2 and Ryszard Maleszka2*

Author Affiliations

1 Centre for Bioinformation, Mathematical Sciences Institute, The Australian National University, Canberra ACT 0200, Australia

2 Research School of Biology, The Australian National University, Canberra ACT 0200, Australia

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BMC Genomics 2009, 10:472 doi:10.1186/1471-2164-10-472

Published: 14 October 2009

Additional files

Additional file 1:

Proportion of cDNA spots found expressed on each array and for each channel in different experiment. This PDF displays a graph expressing Proportion of cDNA spots found expressed on each array and for eachchannel in different experiment.

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Additional file 2:

The correlation between ubiquitous genes and low CpG o/e ratio holds at different thresholds at which genes are considered expressed in microarray experiments. The columns show three different thresholds for gene presence/absence calls. The first column lists three different questions, the null hypotheses are the "No" answers to these questions. The p-values for the rejection of the null hypotheses are reported in each cell.

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Additional file 3:

Summary of the types and number of features present on the honey bee oligonucleotide array. This word document contains a table expressing Summary of the types and number of features present on the honey bee oligonucleotide array.

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Additional file 4:

Gene ontology. Supplementary methods: Gene Ontology, Primers for bisulfite sequencing, Array methodology.

Format: DOC Size: 97KB Download file

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Open Data