Authors ’ Contribution: Study Design A Data Collection B

Understanding the control of gene expression is critical for our understanding of the relationship between gen-otype and phenotype. The need for reliable assessment of transcript abundance in biological samples has driv-en scientists to develop novel technologies such as DNA microarray and RNA-Seq to meet this demand. This review focuses on comparing the two most useful methods for whole transcriptome gene expression profil-ing. Microarrays are reliable and more cost effective than RNA-Seq for gene expression profiling in model or-ganisms. RNA-Seq will eventually be used more routinely than microarray, but right now the techniques can be complementary to each other. Microarrays will not become obsolete but might be relegated to only a few uses. RNA-Seq clearly has a bright future in bioinformatic data collection. MeSH Keywords: Gene Expression Profiling • High-Throughput Nucleotide Sequencing • Microarray Analysi