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Map and model—moving from observation to prediction in toxicogenomics
Author(s) -
Andreas Schüttler,
Rolf Altenburger,
Madeleine Ammar,
Marcella Bader-Blukott,
Gianina Jakobs,
Johanna Knapp,
Janet Krüger,
Kristin Reiche,
GiMick Wu,
Wibke Busch
Publication year - 2019
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giz057
Subject(s) - toxicogenomics , computational biology , computer science , transcriptome , microarray analysis techniques , biology , gene expression , gene , genetics
Chemicals induce compound-specific changes in the transcriptome of an organism (toxicogenomic fingerprints). This provides potential insights about the cellular or physiological responses to chemical exposure and adverse effects, which is needed in assessment of chemical-related hazards or environmental health. In this regard, comparison or connection of different experiments becomes important when interpreting toxicogenomic experiments. Owing to lack of capturing response dynamics, comparability is often limited. In this study, we aim to overcome these constraints.

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