采用整合多组学方法。
Embracing Integrative Multiomics Approaches.
作者信息
Rotroff Daniel M, Motsinger-Reif Alison A
机构信息
Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27607, USA; Department of Statistics, North Carolina State University, Raleigh, NC 27607, USA.
出版信息
Int J Genomics. 2016;2016:1715985. doi: 10.1155/2016/1715985. Epub 2016 Sep 4.
Abstract
As "-omics" data technology advances and becomes more readily accessible to address complex biological questions, increasing amount of cross "-omics" dataset is inspiring the use and development of integrative bioinformatics analysis. In the current review, we discuss multiple options for integrating data across "-omes" for a range of study designs. We discuss established methods for such analysis and point the reader to in-depth discussions for the various topics. Additionally, we discuss challenges and new directions in the area.
摘要
随着“组学”数据技术的进步以及更易于获取以解决复杂的生物学问题，越来越多的跨“组学”数据集正激发着整合生物信息学分析的应用和发展。在当前的综述中，我们讨论了针对一系列研究设计跨“组学”整合数据的多种选择。我们讨论了此类分析的既定方法，并引导读者查阅针对各个主题的深入讨论。此外，我们还讨论了该领域的挑战和新方向。
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本文引用的文献
1
A modified generalized Fisher method for combining probabilities from dependent tests.
Front Genet. 2014 Feb 20;5:32. doi: 10.3389/fgene.2014.00032. eCollection 2014.
2
VH1-44 gene usage defines a subset of canine B-cell lymphomas associated with better patient survival.
Vet Immunol Immunopathol. 2014 Feb 15;157(3-4):125-30. doi: 10.1016/j.vetimm.2013.10.020. Epub 2013 Nov 21.
3
Naturally occuring canine cancers: powerful models for stimulating pharmacogenomic advancement in human medicine.
Pharmacogenomics. 2013 Dec;14(16):1929-31. doi: 10.2217/pgs.13.178.
4
Integrating multiple resources to identify specific transcriptional cooperativity with a Bayesian approach.
Bioinformatics. 2014 Mar 15;30(6):823-30. doi: 10.1093/bioinformatics/btt596. Epub 2013 Nov 5.
5
Bayesian methods for expression-based integration of various types of genomics data.
EURASIP J Bioinform Syst Biol. 2013 Sep 21;2013(1):13. doi: 10.1186/1687-4153-2013-13.
6
Gene profiling of canine B-cell lymphoma reveals germinal center and postgerminal center subtypes with different survival times, modeling human DLBCL.
Cancer Res. 2013 Aug 15;73(16):5029-39. doi: 10.1158/0008-5472.CAN-12-3546. Epub 2013 Jun 19.
7
The MetaboLights repository: curation challenges in metabolomics.
Database (Oxford). 2013 Apr 29;2013:bat029. doi: 10.1093/database/bat029. Print 2013.
8
Promise of personalized omics to precision medicine.
Wiley Interdiscip Rev Syst Biol Med. 2013 Jan-Feb;5(1):73-82. doi: 10.1002/wsbm.1198. Epub 2012 Nov 26.
9
A genome-wide association analysis of temozolomide response using lymphoblastoid cell lines shows a clinically relevant association with MGMT.
Pharmacogenet Genomics. 2012 Nov;22(11):796-802. doi: 10.1097/FPC.0b013e3283589c50.
10
Personal omics profiling reveals dynamic molecular and medical phenotypes.
Cell. 2012 Mar 16;148(6):1293-307. doi: 10.1016/j.cell.2012.02.009.
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