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.
97 related articles for article (PubMed ID: 26259845)
1. Pathway analysis for RNA-Seq data using a score-based approach. Zhou YH Biometrics; 2016 Mar; 72(1):165-74. PubMed ID: 26259845 [TBL] [Abstract][Full Text] [Related]
2. Comparative evaluation of gene set analysis approaches for RNA-Seq data. Rahmatallah Y; Emmert-Streib F; Glazko G BMC Bioinformatics; 2014 Dec; 15(1):397. PubMed ID: 25475910 [TBL] [Abstract][Full Text] [Related]
3. Comparison of normalization and differential expression analyses using RNA-Seq data from 726 individual Drosophila melanogaster. Lin Y; Golovnina K; Chen ZX; Lee HN; Negron YL; Sultana H; Oliver B; Harbison ST BMC Genomics; 2016 Jan; 17():28. PubMed ID: 26732976 [TBL] [Abstract][Full Text] [Related]
4. Statistical detection of differentially expressed genes based on RNA-seq: from biological to phylogenetic replicates. Gu X Brief Bioinform; 2016 Mar; 17(2):243-8. PubMed ID: 26108230 [TBL] [Abstract][Full Text] [Related]
5. Variance component score test for time-course gene set analysis of longitudinal RNA-seq data. Agniel D; Hejblum BP Biostatistics; 2017 Oct; 18(4):589-604. PubMed ID: 28334305 [TBL] [Abstract][Full Text] [Related]
6. Systematically evaluating interfaces for RNA-seq analysis from a life scientist perspective. Poplawski A; Marini F; Hess M; Zeller T; Mazur J; Binder H Brief Bioinform; 2016 Mar; 17(2):213-23. PubMed ID: 26108229 [TBL] [Abstract][Full Text] [Related]
7. MIDAS: Mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq data. Lee S; Park Y; Kim S Methods; 2017 Jul; 124():13-24. PubMed ID: 28579402 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. rSeqNP: a non-parametric approach for detecting differential expression and splicing from RNA-Seq data. Shi Y; Chinnaiyan AM; Jiang H Bioinformatics; 2015 Jul; 31(13):2222-4. PubMed ID: 25717189 [TBL] [Abstract][Full Text] [Related]
10. High-throughput RNA-seq for allelic or locus-specific expression analysis in Arabidopsis-related species, hybrids, and allotetraploids. Ng DW; Shi X; Nah G; Chen ZJ Methods Mol Biol; 2014; 1112():33-48. PubMed ID: 24478006 [TBL] [Abstract][Full Text] [Related]
12. SimSeq: a nonparametric approach to simulation of RNA-sequence datasets. Benidt S; Nettleton D Bioinformatics; 2015 Jul; 31(13):2131-40. PubMed ID: 25725090 [TBL] [Abstract][Full Text] [Related]
13. Identifying differential alternative splicing events from RNA sequencing data using RNASeq-MATS. Park JW; Tokheim C; Shen S; Xing Y Methods Mol Biol; 2013; 1038():171-9. PubMed ID: 23872975 [TBL] [Abstract][Full Text] [Related]
14. QuickRNASeq lifts large-scale RNA-seq data analyses to the next level of automation and interactive visualization. Zhao S; Xi L; Quan J; Xi H; Zhang Y; von Schack D; Vincent M; Zhang B BMC Genomics; 2016 Jan; 17():39. PubMed ID: 26747388 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. PLNseq: a multivariate Poisson lognormal distribution for high-throughput matched RNA-sequencing read count data. Zhang H; Xu J; Jiang N; Hu X; Luo Z Stat Med; 2015 Apr; 34(9):1577-89. PubMed ID: 25641202 [TBL] [Abstract][Full Text] [Related]
17. SimFuse: A Novel Fusion Simulator for RNA Sequencing (RNA-Seq) Data. Tan Y; Tambouret Y; Monti S Biomed Res Int; 2015; 2015():780519. PubMed ID: 26839886 [TBL] [Abstract][Full Text] [Related]
18. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis. Dillies MA; Rau A; Aubert J; Hennequet-Antier C; Jeanmougin M; Servant N; Keime C; Marot G; Castel D; Estelle J; Guernec G; Jagla B; Jouneau L; Laloë D; Le Gall C; Schaëffer B; Le Crom S; Guedj M; Jaffrézic F; Brief Bioinform; 2013 Nov; 14(6):671-83. PubMed ID: 22988256 [TBL] [Abstract][Full Text] [Related]
19. What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment. Cui S; Ji T; Li J; Cheng J; Qiu J Stat Appl Genet Mol Biol; 2016 Apr; 15(2):87-105. PubMed ID: 26926865 [TBL] [Abstract][Full Text] [Related]
20. Fast search of thousands of short-read sequencing experiments. Solomon B; Kingsford C Nat Biotechnol; 2016 Mar; 34(3):300-2. PubMed ID: 26854477 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]