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.
184 related articles for article (PubMed ID: 26737772)
1. Effect of low-expression gene filtering on detection of differentially expressed genes in RNA-seq data. Sha Y; Phan JH; Wang MD Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6461-4. PubMed ID: 26737772 [TBL] [Abstract][Full Text] [Related]
2. CEDER: accurate detection of differentially expressed genes by combining significance of exons using RNA-Seq. Wan L; Sun F IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(5):1281-92. PubMed ID: 22641709 [TBL] [Abstract][Full Text] [Related]
3. The recognition of development-related genes in the testis and MAGs of time-series Harmonia axyridis adults using a time-series analysis by RNA-seq. Du W; Zhao Z; Zheng W Gene; 2019 Apr; 693():52-60. PubMed ID: 30699331 [TBL] [Abstract][Full Text] [Related]
4. RNAflow: An Effective and Simple RNA-Seq Differential Gene Expression Pipeline Using Nextflow. Lataretu M; Hölzer M Genes (Basel); 2020 Dec; 11(12):. PubMed ID: 33322033 [TBL] [Abstract][Full Text] [Related]
5. The Impact of RNA-seq Alignment Pipeline on Detection of Differentially Expressed Genes. Yang C; Wu PY; Phan JH; Wang MD IEEE Glob Conf Signal Inf Process; 2014 Dec; 2012():1376-1379. PubMed ID: 27595138 [TBL] [Abstract][Full Text] [Related]
6. A comparison of transcriptome analysis methods with reference genome. Liu X; Zhao J; Xue L; Zhao T; Ding W; Han Y; Ye H BMC Genomics; 2022 Mar; 23(1):232. PubMed ID: 35337265 [TBL] [Abstract][Full Text] [Related]
8. Effect of high variation in transcript expression on identifying differentially expressed genes in RNA-seq analysis. Cui W; Xue H; Geng Y; Zhang J; Liang Y; Tian X; Wang Q Ann Hum Genet; 2021 Nov; 85(6):235-244. PubMed ID: 34341986 [TBL] [Abstract][Full Text] [Related]
9. RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight. Geng X; Dong N; Wang Y; Li G; Wang L; Guo X; Li J; Wen Z; Wei W PLoS One; 2018; 13(1):e0191297. PubMed ID: 29381708 [TBL] [Abstract][Full Text] [Related]
10. Usability of reference-free transcriptome assemblies for detection of differential expression: a case study on Aethionema arabicum dimorphic seeds. Wilhelmsson PKI; Chandler JO; Fernandez-Pozo N; Graeber K; Ullrich KK; Arshad W; Khan S; Hofberger JA; Buchta K; Edger PP; Pires JC; Schranz ME; Leubner-Metzger G; Rensing SA BMC Genomics; 2019 Jan; 20(1):95. PubMed ID: 30700268 [TBL] [Abstract][Full Text] [Related]
11. Comparative transcriptome analysis of the petal degeneration mutant pdm in Chinese cabbage (Brassica campestris ssp. pekinensis) using RNA-Seq. Huang S; Liu Z; Yao R; Li D; Feng H Mol Genet Genomics; 2015 Oct; 290(5):1833-47. PubMed ID: 25860116 [TBL] [Abstract][Full Text] [Related]
12. bestDEG: a web-based application automatically combines various tools to precisely predict differentially expressed genes (DEGs) from RNA-Seq data. Sangket U; Yodsawat P; Nuanpirom J; Sathapondecha P PeerJ; 2022; 10():e14344. PubMed ID: 36389403 [TBL] [Abstract][Full Text] [Related]
13. Comparative transcriptome analysis of flower heterosis in two soybean F1 hybrids by RNA-seq. Zhang C; Lin C; Fu F; Zhong X; Peng B; Yan H; Zhang J; Zhang W; Wang P; Ding X; Zhang W; Zhao L PLoS One; 2017; 12(7):e0181061. PubMed ID: 28708857 [TBL] [Abstract][Full Text] [Related]
14. Gene expression and splicing alterations analyzed by high throughput RNA sequencing of chronic lymphocytic leukemia specimens. Liao W; Jordaan G; Nham P; Phan RT; Pelegrini M; Sharma S BMC Cancer; 2015 Oct; 15():714. PubMed ID: 26474785 [TBL] [Abstract][Full Text] [Related]
15. Modeling and cleaning RNA-seq data significantly improve detection of differentially expressed genes. Deyneko IV; Mustafaev ON; Tyurin AА; Zhukova KV; Varzari A; Goldenkova-Pavlova IV BMC Bioinformatics; 2022 Nov; 23(1):488. PubMed ID: 36384457 [TBL] [Abstract][Full Text] [Related]
16. Removal of redundant contigs from de novo RNA-Seq assemblies via homology search improves accurate detection of differentially expressed genes. Ono H; Ishii K; Kozaki T; Ogiwara I; Kanekatsu M; Yamada T BMC Genomics; 2015 Dec; 16():1031. PubMed ID: 26637306 [TBL] [Abstract][Full Text] [Related]
17. Genome-wide transcriptome analysis using RNA-Seq reveals a large number of differentially expressed genes in a transient MCAO rat model. Dergunova LV; Filippenkov IB; Stavchansky VV; Denisova AE; Yuzhakov VV; Mozerov SA; Gubsky LV; Limborska SA BMC Genomics; 2018 Sep; 19(1):655. PubMed ID: 30185153 [TBL] [Abstract][Full Text] [Related]
18. De novo assembly and transcriptome analysis of Atlantic salmon macrophage/dendritic-like TO cells following type I IFN treatment and Salmonid alphavirus subtype-3 infection. Xu C; Evensen Ø; Munang'andu HM BMC Genomics; 2015 Feb; 16(1):96. PubMed ID: 25765343 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Transcriptome analysis of differentially expressed genes involved in innate immunity following Bacillus thuringiensis challenge in Bombyx mori larvae. Wu G; Yi Y Mol Immunol; 2018 Nov; 103():220-228. PubMed ID: 30316186 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]