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. Author manuscript; available in PMC: 2019 Nov 4.
Published in final edited form as: Regul Toxicol Pharmacol. 2017 Nov 4;91(Suppl 1):S36–S45. doi: 10.1016/j.yrtph.2017.11.001

Figure 1: Overview of the work streams considered at the ECETOC workshop Applying ‘omics technologies in chemical risk assessment (Buesen et al., 2017).

Figure 1:

Footnote to Figure 1: The present article ‘A generic Transcriptomics Reporting Framework (TRF) for ‘Omics Data Processing and Analysis’ considers discussions from the ECETOC workshop work stream 2 (highlighted in grey). This box briefly lists bioinformatic processes involved in the use of transcriptomics data. The TRF incorporates a reference baseline analysis (RBA) method for the identification of differential gene expression against which other approaches can be benchmarked. While designed around microarray data analysis, the TRF and the embedded RBA are compatible with high throughput sequencing gene counting data.