Comparing bioinformatic gene expression profiling methods: microarray and RNA-Seq
Language English Country United States Media electronic
Document type Comparative Study, Journal Article, Research Support, Non-U.S. Gov't, Review
PubMed
25149683
PubMed Central
PMC4152252
DOI
10.12659/msmbr.892101
PII: 892101
Knihovny.cz E-resources
- MeSH
- Oligonucleotide Array Sequence Analysis methods MeSH
- Sequence Analysis, RNA methods MeSH
- Gene Expression Profiling methods MeSH
- Computational Biology * MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- Comparative Study MeSH
Understanding the control of gene expression is critical for our understanding of the relationship between genotype and phenotype. The need for reliable assessment of transcript abundance in biological samples has driven 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 profiling. Microarrays are reliable and more cost effective than RNA-Seq for gene expression profiling in model organisms. 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.
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