274 related articles for article (PubMed ID: 25781714)
1. A novel method to prioritize RNAseq data for post-hoc analysis based on absolute changes in transcript abundance.
McNutt P; Gut I; Hubbard K; Beske P
Stat Appl Genet Mol Biol; 2015 Jun; 14(3):227-41. PubMed ID: 25781714
[TBL] [Abstract][Full Text] [Related]
2. RNA sequencing for global gene expression associated with muscle growth in a single male modern broiler line compared to a foundational Barred Plymouth Rock chicken line.
Kong BW; Hudson N; Seo D; Lee S; Khatri B; Lassiter K; Cook D; Piekarski A; Dridi S; Anthony N; Bottje W
BMC Genomics; 2017 Jan; 18(1):82. PubMed ID: 28086790
[TBL] [Abstract][Full Text] [Related]
3. 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; 63(1):18-24. PubMed ID: 23563143
[TBL] [Abstract][Full Text] [Related]
4. Fusion transcript loci share many genomic features with non-fusion loci.
Lai J; An J; Seim I; Walpole C; Hoffman A; Moya L; Srinivasan S; Perry-Keene JL; ; Wang C; Lehman ML; Nelson CC; Clements JA; Batra J
BMC Genomics; 2015 Dec; 16():1021. PubMed ID: 26626734
[TBL] [Abstract][Full Text] [Related]
5. Topological network analysis of differentially expressed genes in cancer cells with acquired gefitinib resistance.
Lee YS; Hwang SG; Kim JK; Park TH; Kim YR; Myeong HS; Kwon K; Jang CS; Noh YH; Kim SY
Cancer Genomics Proteomics; 2015; 12(3):153-66. PubMed ID: 25977174
[TBL] [Abstract][Full Text] [Related]
6. Predicting distinct organization of transcription factor binding sites on the promoter regions: a new genome-based approach to expand human embryonic stem cell regulatory network.
Hosseinpour B; Bakhtiarizadeh MR; Khosravi P; Ebrahimie E
Gene; 2013 Dec; 531(2):212-9. PubMed ID: 24042128
[TBL] [Abstract][Full Text] [Related]
7. Fold-change correction values for testicular somatic transcripts in gene expression studies of human spermatogenesis.
Cappallo-Obermann H; Feig C; Schulze W; Spiess AN
Hum Reprod; 2013 Mar; 28(3):590-8. PubMed ID: 23303554
[TBL] [Abstract][Full Text] [Related]
8. RNAseq analysis of heart tissue from mice treated with atenolol and isoproterenol reveals a reciprocal transcriptional response.
Prunotto A; Stevenson BJ; Berthonneche C; Schüpfer F; Beckmann JS; Maurer F; Bergmann S
BMC Genomics; 2016 Sep; 17(1):717. PubMed ID: 27604219
[TBL] [Abstract][Full Text] [Related]
9. Differences in the skeletal muscle transcriptome profile associated with extreme values of fatty acids content.
Cesar AS; Regitano LC; Poleti MD; Andrade SC; Tizioto PC; Oliveira PS; Felício AM; do Nascimento ML; Chaves AS; Lanna DP; Tullio RR; Nassu RT; Koltes JE; Fritz-Waters E; Mourão GB; Zerlotini-Neto A; Reecy JM; Coutinho LL
BMC Genomics; 2016 Nov; 17(1):961. PubMed ID: 27875996
[TBL] [Abstract][Full Text] [Related]
10. Genome-wide analysis of alternative transcripts in human breast cancer.
Wen J; Toomer KH; Chen Z; Cai X
Breast Cancer Res Treat; 2015 Jun; 151(2):295-307. PubMed ID: 25913416
[TBL] [Abstract][Full Text] [Related]
11. [Transcriptomes for serial analysis of gene expression].
Marti J; Piquemal D; Manchon L; Commes T
J Soc Biol; 2002; 196(4):303-7. PubMed ID: 12645300
[TBL] [Abstract][Full Text] [Related]
12. Characterization of genome-wide transcriptional changes in liver and adipose tissues of ZDF (fa/fa) rats fed R-α-lipoic acid by next-generation sequencing.
Pashaj A; Yi X; Xia M; Canny S; Riethoven JJ; Moreau R
Physiol Genomics; 2013 Dec; 45(23):1136-43. PubMed ID: 24104204
[TBL] [Abstract][Full Text] [Related]
13. Vitiligo blood transcriptomics provides new insights into disease mechanisms and identifies potential novel therapeutic targets.
Dey-Rao R; Sinha AA
BMC Genomics; 2017 Jan; 18(1):109. PubMed ID: 28129744
[TBL] [Abstract][Full Text] [Related]
14. Conduct and Quality Control of Differential Gene Expression Analysis Using High-Throughput Transcriptome Sequencing (RNASeq).
Grassmann F
Methods Mol Biol; 2019; 1834():29-43. PubMed ID: 30324434
[TBL] [Abstract][Full Text] [Related]
15. Gene expression network analysis reveals new transcriptional regulators as novel factors in human ischemic cardiomyopathy.
Herrer I; Roselló-Lletí E; Ortega A; Tarazón E; Molina-Navarro MM; Triviño JC; Martínez-Dolz L; Almenar L; Lago F; Sánchez-Lázaro I; González-Juanatey JR; Salvador A; Portolés M; Rivera M
BMC Med Genomics; 2015 Mar; 8():14. PubMed ID: 25884818
[TBL] [Abstract][Full Text] [Related]
16. Integrative analyses of RNA editing, alternative splicing, and expression of young genes in human brain transcriptome by deep RNA sequencing.
Wu DD; Ye LQ; Li Y; Sun YB; Shao Y; Chen C; Zhu Z; Zhong L; Wang L; Irwin DM; Zhang YE; Zhang YP
J Mol Cell Biol; 2015 Aug; 7(4):314-25. PubMed ID: 26186942
[TBL] [Abstract][Full Text] [Related]
17. Analysis of mechanical ventilation and lipopolysaccharide‑induced acute lung injury using DNA microarray analysis.
Chen Y; Zhou X; Rong L
Mol Med Rep; 2015 Jun; 11(6):4239-45. PubMed ID: 25672411
[TBL] [Abstract][Full Text] [Related]
18. RNA sequencing: current and prospective uses in metabolic research.
Vikman P; Fadista J; Oskolkov N
J Mol Endocrinol; 2014 Oct; 53(2):R93-101. PubMed ID: 25228274
[TBL] [Abstract][Full Text] [Related]
19. Alternative mRNA transcription, processing, and translation: insights from RNA sequencing.
de Klerk E; 't Hoen PA
Trends Genet; 2015 Mar; 31(3):128-39. PubMed ID: 25648499
[TBL] [Abstract][Full Text] [Related]
20. Deep sequencing-based analysis of gene expression in bovine mammary epithelial cells after Staphylococcus aureus, Escherichia coli, and Klebsiella pneumoniae infection.
Xiu L; Fu YB; Deng Y; Shi XJ; Bian ZY; Ruhan A; Wang X
Genet Mol Res; 2015 Dec; 14(4):16948-65. PubMed ID: 26681042
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]