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Items: 1 to 20 of 97

1.

Systematic evaluation of medium-throughput mRNA abundance platforms.

Prokopec SD, Watson JD, Waggott DM, Smith AB, Wu AH, Okey AB, Pohjanvirta R, Boutros PC.

RNA. 2013 Jan;19(1):51-62. doi: 10.1261/rna.034710.112. Epub 2012 Nov 20.

2.

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.

3.

Circulating Messenger RNA Profiling with Microarray and Next-generation Sequencing: Cross-platform Comparison.

Shih CL, Luo JD, Chang JW, Chen TL, Chien YT, Yu CJ, Chiou CC.

Cancer Genomics Proteomics. 2015 Sep-Oct;12(5):223-30.

PMID:
26417025
4.

Evaluation of high throughput gene expression platforms using a genomic biomarker signature for prediction of skin sensitization.

Forreryd A, Johansson H, Albrekt AS, Lindstedt M.

BMC Genomics. 2014 May 16;15:379. doi: 10.1186/1471-2164-15-379.

5.

Robust global microRNA expression profiling using next-generation sequencing technologies.

Tam S, de Borja R, Tsao MS, McPherson JD.

Lab Invest. 2014 Mar;94(3):350-8. doi: 10.1038/labinvest.2013.157. Epub 2014 Jan 20.

6.

Systematic evaluation of three microRNA profiling platforms: microarray, beads array, and quantitative real-time PCR array.

Wang B, Howel P, Bruheim S, Ju J, Owen LB, Fodstad O, Xi Y.

PLoS One. 2011 Feb 11;6(2):e17167. doi: 10.1371/journal.pone.0017167.

7.

High-throughput approaches for microRNA expression analysis.

Dedeo─člu BG.

Methods Mol Biol. 2014;1107:91-103. doi: 10.1007/978-1-62703-748-8_6.

PMID:
24272433
8.
9.

Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.

Yu J, Cliften PF, Juehne TI, Sinnwell TM, Sawyer CS, Sharma M, Lutz A, Tycksen E, Johnson MR, Minton MR, Klotz ET, Schriefer AE, Yang W, Heinz ME, Crosby SD, Head RD.

BMC Genomics. 2015 Sep 18;16:710. doi: 10.1186/s12864-015-1913-6.

10.

A comparison of microarray and MPSS technology platforms for expression analysis of Arabidopsis.

Chen J, Agrawal V, Rattray M, West MA, St Clair DA, Michelmore RW, Coughlan SJ, Meyers BC.

BMC Genomics. 2007 Nov 12;8:414.

11.
12.

Evaluation of external RNA controls for the standardisation of gene expression biomarker measurements.

Devonshire AS, Elaswarapu R, Foy CA.

BMC Genomics. 2010 Nov 24;11:662. doi: 10.1186/1471-2164-11-662.

13.

Quantitative miRNA expression analysis using fluidigm microfluidics dynamic arrays.

Jang JS, Simon VA, Feddersen RM, Rakhshan F, Schultz DA, Zschunke MA, Lingle WL, Kolbert CP, Jen J.

BMC Genomics. 2011 Mar 9;12:144. doi: 10.1186/1471-2164-12-144.

14.

Universal external RNA controls for microbial gene expression analysis using microarray and qRT-PCR.

Liu ZL, Slininger PJ.

J Microbiol Methods. 2007 Mar;68(3):486-96. Epub 2006 Dec 14.

PMID:
17173990
15.

Performance evaluation of commercial short-oligonucleotide microarrays and the impact of noise in making cross-platform correlations.

Shippy R, Sendera TJ, Lockner R, Palaniappan C, Kaysser-Kranich T, Watts G, Alsobrook J.

BMC Genomics. 2004 Sep 2;5:61.

16.

Three microarray platforms: an analysis of their concordance in profiling gene expression.

Petersen D, Chandramouli GV, Geoghegan J, Hilburn J, Paarlberg J, Kim CH, Munroe D, Gangi L, Han J, Puri R, Staudt L, Weinstein J, Barrett JC, Green J, Kawasaki ES.

BMC Genomics. 2005 May 5;6:63.

17.

Transcriptional profiling of endocrine cerebro-osteodysplasia using microarray and next-generation sequencing.

Lahiry P, Lee LJ, Frey BJ, Rupar CA, Siu VM, Blencowe BJ, Hegele RA.

PLoS One. 2011;6(9):e25400. doi: 10.1371/journal.pone.0025400. Epub 2011 Sep 27.

18.

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.

19.

Identification of artifactual microarray probe signals constantly present in multiple sample types.

Mao S, Souza AL, Goodrich RJ, Krawetz SA.

Biotechniques. 2012 Aug;53(2):91-8. doi: 10.2144/0000113903.

20.

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.

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