These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
132 related articles for article (PubMed ID: 26130709)
1. A nested parallel experiment demonstrates differences in intensity-dependence between RNA-seq and microarrays. Robinson DG; Wang JY; Storey JD Nucleic Acids Res; 2015 Nov; 43(20):e131. PubMed ID: 26130709 [TBL] [Abstract][Full Text] [Related]
2. 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. PubMed ID: 24194394 [TBL] [Abstract][Full Text] [Related]
3. Correlation between RNA-Seq and microarrays results using TCGA data. Chen L; Sun F; Yang X; Jin Y; Shi M; Wang L; Shi Y; Zhan C; Wang Q Gene; 2017 Sep; 628():200-204. PubMed ID: 28734892 [TBL] [Abstract][Full Text] [Related]
5. Comparing next-generation sequencing and microarray technologies in a toxicological study of the effects of aristolochic acid on rat kidneys. Su Z; Li Z; Chen T; Li QZ; Fang H; Ding D; Ge W; Ning B; Hong H; Perkins RG; Tong W; Shi L Chem Res Toxicol; 2011 Sep; 24(9):1486-93. PubMed ID: 21834575 [TBL] [Abstract][Full Text] [Related]
6. A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae. Nookaew I; Papini M; Pornputtapong N; Scalcinati G; Fagerberg L; Uhlén M; Nielsen J Nucleic Acids Res; 2012 Nov; 40(20):10084-97. PubMed ID: 22965124 [TBL] [Abstract][Full Text] [Related]
7. 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; 6(3):e17820. PubMed ID: 21455293 [TBL] [Abstract][Full Text] [Related]
8. A probabilistic approach for automated discovery of perturbed genes using expression data from microarray or RNA-Seq. Sundaramurthy G; Eghbalnia HR Comput Biol Med; 2015 Dec; 67():29-40. PubMed ID: 26492320 [TBL] [Abstract][Full Text] [Related]
9. A comparison of RNA-Seq and high-density exon array for detecting differential gene expression between closely related species. Liu S; Lin L; Jiang P; Wang D; Xing Y Nucleic Acids Res; 2011 Jan; 39(2):578-88. PubMed ID: 20864445 [TBL] [Abstract][Full Text] [Related]
10. Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays. Bloom JS; Khan Z; Kruglyak L; Singh M; Caudy AA BMC Genomics; 2009 May; 10():221. PubMed ID: 19435513 [TBL] [Abstract][Full Text] [Related]
11. Comprehensive identification and quantification of microbial transcriptomes by genome-wide unbiased methods. Mäder U; Nicolas P; Richard H; Bessières P; Aymerich S Curr Opin Biotechnol; 2011 Feb; 22(1):32-41. PubMed ID: 21074401 [TBL] [Abstract][Full Text] [Related]
12. 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; 7():59. PubMed ID: 16551369 [TBL] [Abstract][Full Text] [Related]
13. Estimating accuracy of RNA-Seq and microarrays with proteomics. Fu X; Fu N; Guo S; Yan Z; Xu Y; Hu H; Menzel C; Chen W; Li Y; Zeng R; Khaitovich P BMC Genomics; 2009 Apr; 10():161. PubMed ID: 19371429 [TBL] [Abstract][Full Text] [Related]
14. A novel design of whole-genome microarray probes for Saccharomyces cerevisiae which minimizes cross-hybridization. Talla E; Tekaia F; Brino L; Dujon B BMC Genomics; 2003 Sep; 4(1):38. PubMed ID: 14499002 [TBL] [Abstract][Full Text] [Related]
15. 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. PubMed ID: 23251411 [TBL] [Abstract][Full Text] [Related]
16. Concordance among digital gene expression, microarrays, and qPCR when measuring differential expression of microRNAs. Pradervand S; Weber J; Lemoine F; Consales F; Paillusson A; Dupasquier M; Thomas J; Richter H; Kaessmann H; Beaudoing E; Hagenbüchle O; Harshman K Biotechniques; 2010 Mar; 48(3):219-22. PubMed ID: 20359303 [TBL] [Abstract][Full Text] [Related]
17. Analysis of Microarray and RNA-seq Expression Profiling Data. Hung JH; Weng Z Cold Spring Harb Protoc; 2017 Mar; 2017(3):. PubMed ID: 27574194 [TBL] [Abstract][Full Text] [Related]
18. A Gibbs sampler for the identification of gene expression and network connectivity consistency. Brynildsen MP; Tran LM; Liao JC Bioinformatics; 2006 Dec; 22(24):3040-6. PubMed ID: 17060361 [TBL] [Abstract][Full Text] [Related]
19. Design and analysis of two-phase experiments for gene expression microarrays-part I. Jarrett RG; Ruggiero K Biometrics; 2008 Mar; 64(1):208-16. PubMed ID: 17651456 [TBL] [Abstract][Full Text] [Related]
20. A robust neural networks approach for spatial and intensity-dependent normalization of cDNA microarray data. Tarca AL; Cooke JE; Mackay J Bioinformatics; 2005 Jun; 21(11):2674-83. PubMed ID: 15797913 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]