Revisiting Global Gene Expression Analysis | Zendy

Jakob Lovén | Zendy; David A. Orlando | Zendy; Alla A. Sigova | Zendy; Charles Y. Lin | Zendy; Peter B. Rahl | Zendy; Christopher B. Burge | Zendy; David Levens | Zendy; Tong Ihn Lee | Zendy; Richard A. Young | Zendy

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Revisiting Global Gene Expression Analysis

Author(s) -

Jakob Lovén,

David A. Orlando,

Alla A. Sigova,

Charles Y. Lin,

Peter B. Rahl,

Christopher B. Burge,

David Levens,

Tong Ihn Lee,

Richard A. Young

Publication year - 2012

Publication title -

cell

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 26.304

H-Index - 776

eISSN - 1097-4172

pISSN - 0092-8674

DOI - 10.1016/j.cell.2012.10.012

Subject(s) - biology , gene expression , expression (computer science) , computational biology , genetics , gene , gene expression profiling , evolutionary biology , computer science , programming language

Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease, and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical practices can lead to misinterpretation of global gene expression data. We discuss these assumptions and describe solutions that should minimize erroneous interpretation of gene expression data from multiple analysis platforms.

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