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Results: 1 to 20 of 146

Similar articles for PubMed (Select 23563143)

1.

On the importance of small changes in RNA expression.

St Laurent G, Shtokalo D, Tackett MR, Yang Z, Vyatkin Y, Milos PM, Seilheimer B, McCaffrey TA, Kapranov P.

Methods. 2013 Sep 1;63(1):18-24. doi: 10.1016/j.ymeth.2013.03.027. Epub 2013 Apr 4.

PMID:
23563143
2.

Transcriptome sequencing of the Microarray Quality Control (MAQC) RNA reference samples using next generation sequencing.

Mane SP, Evans C, Cooper KL, Crasta OR, Folkerts O, Hutchison SK, Harkins TT, Thierry-Mieg D, Thierry-Mieg J, Jensen RV.

BMC Genomics. 2009 Jun 12;10:264. doi: 10.1186/1471-2164-10-264.

3.

Next-generation sequencing facilitates quantitative analysis of wild-type and Nrl(-/-) retinal transcriptomes.

Brooks MJ, Rajasimha HK, Roger JE, Swaroop A.

Mol Vis. 2011;17:3034-54. Epub 2011 Nov 23.

4.

Sequencing and characterization of the guppy (Poecilia reticulata) transcriptome.

Fraser BA, Weadick CJ, Janowitz I, Rodd FH, Hughes KA.

BMC Genomics. 2011 Apr 20;12:202. doi: 10.1186/1471-2164-12-202.

5.

3' tag digital gene expression profiling of human brain and universal reference RNA using Illumina Genome Analyzer.

Asmann YW, Klee EW, Thompson EA, Perez EA, Middha S, Oberg AL, Therneau TM, Smith DI, Poland GA, Wieben ED, Kocher JP.

BMC Genomics. 2009 Nov 16;10:531. doi: 10.1186/1471-2164-10-531.

6.

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.

7.

Comparison of microarrays and RNA-seq for gene expression analyses of dose-response experiments.

Black MB, Parks BB, Pluta L, Chu TM, Allen BC, Wolfinger RD, Thomas RS.

Toxicol Sci. 2014 Feb;137(2):385-403. doi: 10.1093/toxsci/kft249. Epub 2013 Nov 5.

8.

GFOLD: a generalized fold change for ranking differentially expressed genes from RNA-seq data.

Feng J, Meyer CA, Wang Q, Liu JS, Shirley Liu X, Zhang Y.

Bioinformatics. 2012 Nov 1;28(21):2782-8. doi: 10.1093/bioinformatics/bts515. Epub 2012 Aug 24.

9.

Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens.

Wang Y, Ghaffari N, Johnson CD, Braga-Neto UM, Wang H, Chen R, Zhou H.

BMC Bioinformatics. 2011 Oct 18;12 Suppl 10:S5. doi: 10.1186/1471-2105-12-S10-S5.

10.

Long versus short oligonucleotide microarrays for the study of gene expression in nonhuman primates.

Walker SJ, Wang Y, Grant KA, Chan F, Hellmann GM.

J Neurosci Methods. 2006 Apr 15;152(1-2):179-89. Epub 2005 Oct 25.

PMID:
16253343
11.

Efficient assembly and annotation of the transcriptome of catfish by RNA-Seq analysis of a doubled haploid homozygote.

Liu S, Zhang Y, Zhou Z, Waldbieser G, Sun F, Lu J, Zhang J, Jiang Y, Zhang H, Wang X, Rajendran KV, Khoo L, Kucuktas H, Peatman E, Liu Z.

BMC Genomics. 2012 Nov 5;13:595. doi: 10.1186/1471-2164-13-595.

12.

Reporting FDR analogous confidence intervals for the log fold change of differentially expressed genes.

Jung K, Friede T, Beissbarth T.

BMC Bioinformatics. 2011 Jul 15;12:288. doi: 10.1186/1471-2105-12-288.

13.

Blind spots of quantitative RNA-seq: the limits for assessing abundance, differential expression, and isoform switching.

Rehrauer H, Opitz L, Tan G, Sieverling L, Schlapbach R.

BMC Bioinformatics. 2013 Dec 24;14:370. doi: 10.1186/1471-2105-14-370.

14.

De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system.

Peterson MP, Whittaker DJ, Ambreth S, Sureshchandra S, Buechlein A, Podicheti R, Choi JH, Lai Z, Mockatis K, Colbourne J, Tang H, Ketterson ED.

BMC Genomics. 2012 Jul 9;13:305. doi: 10.1186/1471-2164-13-305.

15.

Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq.

Beane J, Vick J, Schembri F, Anderlind C, Gower A, Campbell J, Luo L, Zhang XH, Xiao J, Alekseyev YO, Wang S, Levy S, Massion PP, Lenburg M, Spira A.

Cancer Prev Res (Phila). 2011 Jun;4(6):803-17. doi: 10.1158/1940-6207.CAPR-11-0212.

16.

Exploring the gonad transcriptome of two extreme male pigs with RNA-seq.

Esteve-Codina A, Kofler R, Palmieri N, Bussotti G, Notredame C, Pérez-Enciso M.

BMC Genomics. 2011 Nov 8;12:552. doi: 10.1186/1471-2164-12-552.

17.

Evaluation of gene expression data generated from expired Affymetrix GeneChip® microarrays using MAQC reference RNA samples.

Wen Z, Wang C, Shi Q, Huang Y, Su Z, Hong H, Tong W, Shi L.

BMC Bioinformatics. 2010 Oct 7;11 Suppl 6:S10. doi: 10.1186/1471-2105-11-S6-S10.

18.

RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.

Sîrbu A, Kerr G, Crane M, Ruskin HJ.

PLoS One. 2012;7(12):e50986. doi: 10.1371/journal.pone.0050986. Epub 2012 Dec 10.

19.

Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays.

Wang Y, Barbacioru C, Hyland F, Xiao W, Hunkapiller KL, Blake J, Chan F, Gonzalez C, Zhang L, Samaha RR.

BMC Genomics. 2006 Mar 21;7:59.

20.

Empirical bayes analysis of sequencing-based transcriptional profiling without replicates.

Wu Z, Jenkins BD, Rynearson TA, Dyhrman ST, Saito MA, Mercier M, Whitney LP.

BMC Bioinformatics. 2010 Nov 16;11:564. doi: 10.1186/1471-2105-11-564.

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