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Comparing bioinformatic gene expression profiling methods: microarray and RNA-Seq
KJ. Mantione, RM. Kream, H. Kuzelova, R. Ptacek, J. Raboch, JM. Samuel, GB. Stefano,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem, přehledy
NLK
Free Medical Journals
od 2013
PubMed Central
od 2013
Europe PubMed Central
od 2013
Open Access Digital Library
od 2013-01-01
PubMed
25149683
DOI
10.12659/msmbr.892101
Knihovny.cz E-zdroje
- MeSH
- sekvenční analýza hybridizací s uspořádaným souborem oligonukleotidů metody MeSH
- sekvenční analýza RNA metody MeSH
- stanovení celkové genové exprese metody MeSH
- výpočetní biologie * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
- srovnávací studie 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.
Citace poskytuje Crossref.org
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