| Literature DB >> 20307502 |
Marcel van der Brug1, Michael A Nalls, Mark R Cookson.
Abstract
Several methods now exist for identifying and quantifying many biological events in parallel and in a relatively unbiased fashion. For gene expression experiments, cloning approaches have been supplemented with microarray platforms over the past few years. The focus of this review is on deep sequencing, a new set of techniques that can be used to both identify RNA species and quantify them in a massively parallel fashion. Deep sequencing has some advantages over other methods, driven largely by the high depth of coverage for any library of nucleic acids. This allows, for example, estimates of alternative splicing and untranslated region utilization. We will discuss how deep sequencing methods are being applied to characterization of gene expression in the brain and how these technologies might develop over the next few years. Published by Elsevier B.V.Entities:
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Year: 2010 PMID: 20307502 PMCID: PMC2883621 DOI: 10.1016/j.brainres.2010.03.039
Source DB: PubMed Journal: Brain Res ISSN: 0006-8993 Impact factor: 3.252