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. 2013 Sep 13;14(Suppl 11):S8. doi: 10.1186/1471-2105-14-S11-S8

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Copyright © 2013 Wu et al; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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The average coefficient of variation varies with different annotations and gene or isoform subgroups. Sub-figures (a)-(d) represent different combinations of samples (top: MAQC samples with SRA accession number SRP000727; bottom: thrombin study samples with SRA accession number SRP008482) and expression estimates (left: TPM estimates from OSA package; right: FPKM estimates from TopHat alignment with Cufflinks quantification). The RefSeq annotation always has the smallest average coefficient of variation, while the AceView annotation has the highest average coefficient of variation for most of the cases. The variation is small when focusing on only common genes.