161 related articles for article (PubMed ID: 23393029)
1. mRNA enrichment protocols determine the quantification characteristics of external RNA spike-in controls in RNA-Seq studies.
Qing T; Yu Y; Du T; Shi L
Sci China Life Sci; 2013 Feb; 56(2):134-42. PubMed ID: 23393029
[TBL] [Abstract][Full Text] [Related]
2. Evaluation of the External RNA Controls Consortium (ERCC) reference material using a modified Latin square design.
Pine PS; Munro SA; Parsons JR; McDaniel J; Lucas AB; Lozach J; Myers TG; Su Q; Jacobs-Helber SM; Salit M
BMC Biotechnol; 2016 Jun; 16(1):54. PubMed ID: 27342544
[TBL] [Abstract][Full Text] [Related]
3. Detection and quantification of alternative splicing variants using RNA-seq.
Bryant DW; Priest HD; Mockler TC
Methods Mol Biol; 2012; 883():97-110. PubMed ID: 22589127
[TBL] [Abstract][Full Text] [Related]
4. Assessment of Single Cell RNA-Seq Normalization Methods.
Ding B; Zheng L; Wang W
G3 (Bethesda); 2017 Jul; 7(7):2039-2045. PubMed ID: 28468817
[TBL] [Abstract][Full Text] [Related]
5. How does normalization impact RNA-seq disease diagnosis?
Han H; Men K
J Biomed Inform; 2018 Sep; 85():80-92. PubMed ID: 30041017
[TBL] [Abstract][Full Text] [Related]
6. ChimeRScope: a novel alignment-free algorithm for fusion transcript prediction using paired-end RNA-Seq data.
Li Y; Heavican TB; Vellichirammal NN; Iqbal J; Guda C
Nucleic Acids Res; 2017 Jul; 45(13):e120. PubMed ID: 28472320
[TBL] [Abstract][Full Text] [Related]
7. RNA sequencing and quantitation using the Helicos Genetic Analysis System.
Raz T; Causey M; Jones DR; Kieu A; Letovsky S; Lipson D; Thayer E; Thompson JF; Milos PM
Methods Mol Biol; 2011; 733():37-49. PubMed ID: 21431761
[TBL] [Abstract][Full Text] [Related]
8. Diminishing returns in next-generation sequencing (NGS) transcriptome data.
Lei R; Ye K; Gu Z; Sun X
Gene; 2015 Feb; 557(1):82-7. PubMed ID: 25497830
[TBL] [Abstract][Full Text] [Related]
9. Synthetic spike-in standards for RNA-seq experiments.
Jiang L; Schlesinger F; Davis CA; Zhang Y; Li R; Salit M; Gingeras TR; Oliver B
Genome Res; 2011 Sep; 21(9):1543-51. PubMed ID: 21816910
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Combinational usage of next generation sequencing and qPCR for the analysis of tumor samples.
Loewe RP
Methods; 2013 Jan; 59(1):126-31. PubMed ID: 23178393
[TBL] [Abstract][Full Text] [Related]
12. Computational analysis of RNA-seq.
Givan SA; Bottoms CA; Spollen WG
Methods Mol Biol; 2012; 883():201-19. PubMed ID: 22589136
[TBL] [Abstract][Full Text] [Related]
13. Using Synthetic Mouse Spike-In Transcripts to Evaluate RNA-Seq Analysis Tools.
Leshkowitz D; Feldmesser E; Friedlander G; Jona G; Ainbinder E; Parmet Y; Horn-Saban S
PLoS One; 2016; 11(4):e0153782. PubMed ID: 27100792
[TBL] [Abstract][Full Text] [Related]
14. Cross-platform ultradeep transcriptomic profiling of human reference RNA samples by RNA-Seq.
Xu J; Su Z; Hong H; Thierry-Mieg J; Thierry-Mieg D; Kreil DP; Mason CE; Tong W; Shi L
Sci Data; 2014; 1():140020. PubMed ID: 25977777
[TBL] [Abstract][Full Text] [Related]
15. Comparative study of de novo assembly and genome-guided assembly strategies for transcriptome reconstruction based on RNA-Seq.
Lu B; Zeng Z; Shi T
Sci China Life Sci; 2013 Feb; 56(2):143-55. PubMed ID: 23393030
[TBL] [Abstract][Full Text] [Related]
16. A comparison between ribo-minus RNA-sequencing and polyA-selected RNA-sequencing.
Cui P; Lin Q; Ding F; Xin C; Gong W; Zhang L; Geng J; Zhang B; Yu X; Yang J; Hu S; Yu J
Genomics; 2010 Nov; 96(5):259-65. PubMed ID: 20688152
[TBL] [Abstract][Full Text] [Related]
17. 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; 12 Suppl 10(Suppl 10):S5. PubMed ID: 22165852
[TBL] [Abstract][Full Text] [Related]
18. Exploring the sampling universe of RNA-seq.
Tauber S; von Haeseler A
Stat Appl Genet Mol Biol; 2013 Apr; 12(2):175-88. PubMed ID: 23629158
[TBL] [Abstract][Full Text] [Related]
19. Proposed methods for testing and selecting the ERCC external RNA controls.
External RNA Controls Consortium
BMC Genomics; 2005 Nov; 6():150. PubMed ID: 16266432
[TBL] [Abstract][Full Text] [Related]
20. An optimal test with maximum average power while controlling FDR with application to RNA-seq data.
Si Y; Liu P
Biometrics; 2013 Sep; 69(3):594-605. PubMed ID: 23889143
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
