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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 38289828)

  • 1. A normalization method that controls for total RNA abundance affects the identification of differentially expressed genes, revealing bias toward morning-expressed responses.
    Laosuntisuk K; Vennapusa A; Somayanda IM; Leman AR; Jagadish SK; Doherty CJ
    Plant J; 2024 Jun; 118(5):1241-1257. PubMed ID: 38289828
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis.
    Czechowski T; Stitt M; Altmann T; Udvardi MK; Scheible WR
    Plant Physiol; 2005 Sep; 139(1):5-17. PubMed ID: 16166256
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MOROKOSHI: transcriptome database in Sorghum bicolor.
    Makita Y; Shimada S; Kawashima M; Kondou-Kuriyama T; Toyoda T; Matsui M
    Plant Cell Physiol; 2015 Jan; 56(1):e6. PubMed ID: 25505007
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrated RNA-Seq and sRNA-Seq Analysis Identifies Chilling and Freezing Responsive Key Molecular Players and Pathways in Tea Plant (Camellia sinensis).
    Zheng C; Zhao L; Wang Y; Shen J; Zhang Y; Jia S; Li Y; Ding Z
    PLoS One; 2015; 10(4):e0125031. PubMed ID: 25901577
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Small RNA and mRNA Profiling of Arabidopsis in Response to Phytophthora Infection and PAMP Treatment.
    Hou Y; Ma W
    Methods Mol Biol; 2017; 1578():273-283. PubMed ID: 28220433
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Benchmarking differential expression analysis tools for RNA-Seq: normalization-based vs. log-ratio transformation-based methods.
    Quinn TP; Crowley TM; Richardson MF
    BMC Bioinformatics; 2018 Jul; 19(1):274. PubMed ID: 30021534
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes.
    Wang L; Xi Y; Sung S; Qiao H
    BMC Genomics; 2018 Jul; 19(1):546. PubMed ID: 30029596
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Identification of cytokinin-responsive genes using microarray meta-analysis and RNA-Seq in Arabidopsis.
    Bhargava A; Clabaugh I; To JP; Maxwell BB; Chiang YH; Schaller GE; Loraine A; Kieber JJ
    Plant Physiol; 2013 May; 162(1):272-94. PubMed ID: 23524861
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Unproductive alternative splicing and nonsense mRNAs: a widespread phenomenon among plant circadian clock genes.
    Filichkin SA; Mockler TC
    Biol Direct; 2012 Jul; 7():20. PubMed ID: 22747664
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A Comparison of transgenic and wild type soybean seeds: analysis of transcriptome profiles using RNA-Seq.
    Lambirth KC; Whaley AM; Blakley IC; Schlueter JA; Bost KL; Loraine AE; Piller KJ
    BMC Biotechnol; 2015 Oct; 15():89. PubMed ID: 26427366
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Functional annotation of the transcriptome of Sorghum bicolor in response to osmotic stress and abscisic acid.
    Dugas DV; Monaco MK; Olsen A; Klein RR; Kumari S; Ware D; Klein PE
    BMC Genomics; 2011 Oct; 12():514. PubMed ID: 22008187
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Immediate transcriptional responses of Arabidopsis leaves to heat shock.
    Liu M; Zhu J; Dong Z
    J Integr Plant Biol; 2021 Mar; 63(3):468-483. PubMed ID: 32644278
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Normalization of RNA-sequencing data from samples with varying mRNA levels.
    Aanes H; Winata C; Moen LF; Østrup O; Mathavan S; Collas P; Rognes T; Aleström P
    PLoS One; 2014; 9(2):e89158. PubMed ID: 24586560
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Polyribosomal RNA-Seq reveals the decreased complexity and diversity of the Arabidopsis translatome.
    Zhang X; Rosen BD; Tang H; Krishnakumar V; Town CD
    PLoS One; 2015; 10(2):e0117699. PubMed ID: 25706651
    [TBL] [Abstract][Full Text] [Related]  

  • 19. LSTrAP: efficiently combining RNA sequencing data into co-expression networks.
    Proost S; Krawczyk A; Mutwil M
    BMC Bioinformatics; 2017 Oct; 18(1):444. PubMed ID: 29017446
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Gene expression phenotypes of Arabidopsis associated with sensitivity to low temperatures.
    Provart NJ; Gil P; Chen W; Han B; Chang HS; Wang X; Zhu T
    Plant Physiol; 2003 Jun; 132(2):893-906. PubMed ID: 12805619
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.