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Items: 1 to 20 of 30

1.

Evaluating gene expression in C57BL/6J and DBA/2J mouse striatum using RNA-Seq and microarrays.

Bottomly D, Walter NA, Hunter JE, Darakjian P, Kawane S, Buck KJ, Searles RP, Mooney M, McWeeney SK, Hitzemann R.

PLoS One. 2011 Mar 24;6(3):e17820. doi: 10.1371/journal.pone.0017820.

2.

Genes, behavior and next-generation RNA sequencing.

Hitzemann R, Bottomly D, Darakjian P, Walter N, Iancu O, Searles R, Wilmot B, McWeeney S.

Genes Brain Behav. 2013 Feb;12(1):1-12. doi: 10.1111/gbb.12007. Epub 2012 Dec 28. Review.

3.

Comparing bioinformatic gene expression profiling methods: microarray and RNA-Seq.

Mantione KJ, Kream RM, Kuzelova H, Ptacek R, Raboch J, Samuel JM, Stefano GB.

Med Sci Monit Basic Res. 2014 Aug 23;20:138-42. doi: 10.12659/MSMBR.892101. Review.

4.

Introduction to sequencing the brain transcriptome.

Hitzemann R, Darakjian P, Walter N, Iancu OD, Searles R, McWeeney S.

Int Rev Neurobiol. 2014;116:1-19. doi: 10.1016/B978-0-12-801105-8.00001-1. Review.

5.

Uncovering the complexity of transcriptomes with RNA-Seq.

Costa V, Angelini C, De Feis I, Ciccodicola A.

J Biomed Biotechnol. 2010;2010:853916. doi: 10.1155/2010/853916. Epub 2010 Jun 27. Review.

6.

Microarrays, deep sequencing and the true measure of the transcriptome.

Malone JH, Oliver B.

BMC Biol. 2011 May 31;9:34. doi: 10.1186/1741-7007-9-34. Review.

7.

Single-nucleotide polymorphism masking.

Walter NA, McWeeney SK, Peters ST, Belknap JK, Hitzemann R, Buck KJ.

Alcohol Res Health. 2008;31(3):270-1. Review.

8.

Statistical detection of differentially expressed genes based on RNA-seq: from biological to phylogenetic replicates.

Gu X.

Brief Bioinform. 2016 Mar;17(2):243-8. doi: 10.1093/bib/bbv035. Epub 2015 Jun 24. Review.

PMID:
26108230
9.

Next generation sequencing of microbial transcriptomes: challenges and opportunities.

van Vliet AH.

FEMS Microbiol Lett. 2010 Jan;302(1):1-7. doi: 10.1111/j.1574-6968.2009.01767.x. Epub 2009 Aug 21. Review.

10.

Research Techniques Made Simple: Methodology and Clinical Applications of RNA Sequencing.

Whitley SK, Horne WT, Kolls JK.

J Invest Dermatol. 2016 Aug;136(8):e77-82. doi: 10.1016/j.jid.2016.06.003. Review.

11.

RNA-Seq technology and its application in fish transcriptomics.

Qian X, Ba Y, Zhuang Q, Zhong G.

OMICS. 2014 Feb;18(2):98-110. doi: 10.1089/omi.2013.0110. Epub 2013 Dec 31. Review.

12.

The FDA's Experience with Emerging Genomics Technologies-Past, Present, and Future.

Xu J, Thakkar S, Gong B, Tong W.

AAPS J. 2016 Jul;18(4):814-8. doi: 10.1208/s12248-016-9917-y. Epub 2016 Apr 26. Review.

13.

Comprehensive Assessments of RNA-seq by the SEQC Consortium: FDA-Led Efforts Advance Precision Medicine.

Xu J, Gong B, Wu L, Thakkar S, Hong H, Tong W.

Pharmaceutics. 2016 Mar 15;8(1). pii: E8. doi: 10.3390/pharmaceutics8010008. Review.

14.

Single-cell RNA-seq: advances and future challenges.

Saliba AE, Westermann AJ, Gorski SA, Vogel J.

Nucleic Acids Res. 2014 Aug;42(14):8845-60. doi: 10.1093/nar/gku555. Epub 2014 Jul 22. Review.

15.

Biases in small RNA deep sequencing data.

Raabe CA, Tang TH, Brosius J, Rozhdestvensky TS.

Nucleic Acids Res. 2014 Feb;42(3):1414-26. doi: 10.1093/nar/gkt1021. Epub 2013 Nov 5. Review.

16.

RNA-Seq and human complex diseases: recent accomplishments and future perspectives.

Costa V, Aprile M, Esposito R, Ciccodicola A.

Eur J Hum Genet. 2013 Feb;21(2):134-42. doi: 10.1038/ejhg.2012.129. Epub 2012 Jun 27. Review.

17.

RNA-Seq: a revolutionary tool for transcriptomics.

Wang Z, Gerstein M, Snyder M.

Nat Rev Genet. 2009 Jan;10(1):57-63. doi: 10.1038/nrg2484. Review.

18.

RNA-Seq reveals novel transcriptional reorganization in human alcoholic brain.

Farris SP, Mayfield RD.

Int Rev Neurobiol. 2014;116:275-300. doi: 10.1016/B978-0-12-801105-8.00011-4. Review.

19.

Translating RNA sequencing into clinical diagnostics: opportunities and challenges.

Byron SA, Van Keuren-Jensen KR, Engelthaler DM, Carpten JD, Craig DW.

Nat Rev Genet. 2016 May;17(5):257-71. doi: 10.1038/nrg.2016.10. Epub 2016 Mar 21. Review.

PMID:
26996076
20.

Introduction to the Gene Expression Analysis.

Segundo-Val IS, Sanz-Lozano CS.

Methods Mol Biol. 2016;1434:29-43. doi: 10.1007/978-1-4939-3652-6_3. Review.

PMID:
27300529

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