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Kuwabara P, O'Neil N. The use of functional genomics in C. elegans for studying human development and disease.
This paper demonstrates the use of functional genomics information from the model plant species, Arabidopsis, to identify genes which may be important in detoxification of TNT in the model phytoremediation species, Populus trichocarpa.
If successful the exposure driven carcinogenic model and the use of functional genomics could improve the understanding of carcinogenesis and concomitantly the assessment of causality as part of systems epidemiology.
Here we discuss the use of functional genomics approaches that integrate transcriptomic, epigenetic, and endophenotype traits with systems biology to annotate genetic variants, and to facilitate discovery of AD risk genes.
Here, we review the use of functional genomics methods in inverse metabolic engineering, examples are presented, and we discuss the identification of targets for metabolic engineering with low fold changes using these techniques.
The use of functional genomics tools in this unique genetic resource provides exciting opportunities not only to discover the genes that contribute to phenotypic differences but also to investigate issues such as the response of plant genomes to artificial selection, the genetic architecture of quantitative traits and the source of continued genetic variation within domesticated crop genomes.
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While patient stratifications for clinical and therapeutic prognoses are useful in themselves, they represent only two potential uses of functional genomics as applied to RA.
Hence, even though we have found that a few histone chaperones are differentially expressed during reproductive phases, further detailed studies using tools of functional genomics are required to delineate the contribution, if any, of such histone chaperones towards grain yield.
In this study, we used a combination of functional genomics and computational biology to structurally and functionally characterize for the first time members of the restorer of fertility (RF) protein superfamily.
In this study, we present a systematic approach using a combination of functional genomics (DNA microarrays) techniques and a pipeline incorporating in silico prediction of subcellular localization and protective antigenicity using VaxiJen for the identification of novel anti-tick vaccine candidates.
Specifically, we [19], [22] and others [23], [24] have attempted to identify TH-responsive genes in the developing brain using a variety of "functional genomics" approaches.
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