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.
221 related articles for article (PubMed ID: 28792517)
1. Comparison of alternative approaches for analysing multi-level RNA-seq data. Mohorianu I; Bretman A; Smith DT; Fowler EK; Dalmay T; Chapman T PLoS One; 2017; 12(8):e0182694. PubMed ID: 28792517 [TBL] [Abstract][Full Text] [Related]
2. BADGE: a novel Bayesian model for accurate abundance quantification and differential analysis of RNA-Seq data. Gu J; Wang X; Halakivi-Clarke L; Clarke R; Xuan J BMC Bioinformatics; 2014; 15 Suppl 9(Suppl 9):S6. PubMed ID: 25252852 [TBL] [Abstract][Full Text] [Related]
3. A Bioinformatic Toolkit for Single-Cell mRNA Analysis. Baßler K; Günther P; Schulte-Schrepping J; Becker M; Biernat P Methods Mol Biol; 2019; 1979():433-455. PubMed ID: 31028653 [TBL] [Abstract][Full Text] [Related]
4. AtRTD - a comprehensive reference transcript dataset resource for accurate quantification of transcript-specific expression in Arabidopsis thaliana. Zhang R; Calixto CP; Tzioutziou NA; James AB; Simpson CG; Guo W; Marquez Y; Kalyna M; Patro R; Eyras E; Barta A; Nimmo HG; Brown JW New Phytol; 2015 Oct; 208(1):96-101. PubMed ID: 26111100 [TBL] [Abstract][Full Text] [Related]
5. Current and Future Methods for mRNA Analysis: A Drive Toward Single Molecule Sequencing. Bayega A; Fahiminiya S; Oikonomopoulos S; Ragoussis J Methods Mol Biol; 2018; 1783():209-241. PubMed ID: 29767365 [TBL] [Abstract][Full Text] [Related]
6. Defining the 5΄ and 3΄ landscape of the Drosophila transcriptome with Exo-seq and RNaseH-seq. Afik S; Bartok O; Artyomov MN; Shishkin AA; Kadri S; Hanan M; Zhu X; Garber M; Kadener S Nucleic Acids Res; 2017 Jun; 45(11):e95. PubMed ID: 28335028 [TBL] [Abstract][Full Text] [Related]
7. Information transduction capacity reduces the uncertainties in annotation-free isoform discovery and quantification. Deng Y; Bao F; Yang Y; Ji X; Du M; Zhang Z; Wang M; Dai Q Nucleic Acids Res; 2017 Sep; 45(15):e143. PubMed ID: 28911101 [TBL] [Abstract][Full Text] [Related]
8. Design of RNA splicing analysis null models for post hoc filtering of Drosophila head RNA-Seq data with the splicing analysis kit (Spanki). Sturgill D; Malone JH; Sun X; Smith HE; Rabinow L; Samson ML; Oliver B BMC Bioinformatics; 2013 Nov; 14():320. PubMed ID: 24209455 [TBL] [Abstract][Full Text] [Related]
9. Empirical assessment of analysis workflows for differential expression analysis of human samples using RNA-Seq. Williams CR; Baccarella A; Parrish JZ; Kim CC BMC Bioinformatics; 2017 Jan; 18(1):38. PubMed ID: 28095772 [TBL] [Abstract][Full Text] [Related]
10. A systematic comparison and evaluation of high density exon arrays and RNA-seq technology used to unravel the peripheral blood transcriptome of sickle cell disease. Raghavachari N; Barb J; Yang Y; Liu P; Woodhouse K; Levy D; O'Donnell CJ; Munson PJ; Kato GJ BMC Med Genomics; 2012 Jun; 5():28. PubMed ID: 22747986 [TBL] [Abstract][Full Text] [Related]
12. An integrative method to normalize RNA-Seq data. Filloux C; Cédric M; Romain P; Lionel F; Christophe K; Dominique R; Abderrahman M; Daniel P BMC Bioinformatics; 2014 Jun; 15():188. PubMed ID: 24929920 [TBL] [Abstract][Full Text] [Related]
13. External calibration with Drosophila whole-cell spike-ins delivers absolute mRNA fold changes from human RNA-Seq and qPCR data. Taruttis F; Feist M; Schwarzfischer P; Gronwald W; Kube D; Spang R; Engelmann JC Biotechniques; 2017 Feb; 62(2):53-61. PubMed ID: 28193148 [TBL] [Abstract][Full Text] [Related]
14. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments. Bullard JH; Purdom E; Hansen KD; Dudoit S BMC Bioinformatics; 2010 Feb; 11():94. PubMed ID: 20167110 [TBL] [Abstract][Full Text] [Related]
15. ASEP: Gene-based detection of allele-specific expression across individuals in a population by RNA sequencing. Fan J; Hu J; Xue C; Zhang H; Susztak K; Reilly MP; Xiao R; Li M PLoS Genet; 2020 May; 16(5):e1008786. PubMed ID: 32392242 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. From Gigabyte to Kilobyte: A Bioinformatics Protocol for Mining Large RNA-Seq Transcriptomics Data. Li J; Hou J; Sun L; Wilkins JM; Lu Y; Niederhuth CE; Merideth BR; Mawhinney TP; Mossine VV; Greenlief CM; Walker JC; Folk WR; Hannink M; Lubahn DB; Birchler JA; Cheng J PLoS One; 2015; 10(4):e0125000. PubMed ID: 25902288 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data. Li X; Brock GN; Rouchka EC; Cooper NGF; Wu D; O'Toole TE; Gill RS; Eteleeb AM; O'Brien L; Rai SN PLoS One; 2017; 12(5):e0176185. PubMed ID: 28459823 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]