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significant advantage of RNA-Seq is its enabling of the identification of novel biomarkers
(alternative splicing, mutation, isoform-specific expression, non-coding RNA, etc.). In addi-
tion, RNA-Seq will generate an order of magnitude more data per experiment. Employing
the required computational power and data analysis techniques will require corresponding
infrastructure designs incorporating massive storage and high internal bandwidth. With
improvement in technologies and analysis algorithms, microarray and RNA-Seq combined
holds great promise to reveal deeper insights into understanding fundamentals of gene
expression variations. While toxicogenomics is not expected to replace traditional toxicologi-
cal methods, the hope is that it will aid in both the earlier elimination of toxic compounds
from the drug pipeline and the discovery of new pathways of toxicity. If so, toxicogenomics
and traditional toxicology will perform synergistically in spawning and testing hypotheses,
and allow a complementary weight-of-evidence approach.
References
[1] FDA, <
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Basics
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UCM247465.pdf
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[7]
Kola I, Landis J. Can the pharmaceutical industry reduce attrition rates? Nat Rev Drug Discov 2004;
[10]
Williams D. Monitoring medicines use: the role of the clinical pharmacologist. Br J Clin Pharmacol
[13] NAC, Committee on Applications of Toxicogenomics Technologies to Predictive Toxicology, 'Applications of
Toxicogenomic Technologies to Predictive Toxicology and Risk Assessment'. 2007.
[17]
Frueh FW, Huang SM, Lesko LJ. Regulatory acceptance of toxicogenomics data. Environ Health Perspect
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