BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

557 related articles for article (PubMed ID: 24792045)

  • 1. Quantitative transcriptome analysis using RNA-seq.
    Külahoglu C; Bräutigam A
    Methods Mol Biol; 2014; 1158():71-91. PubMed ID: 24792045
    [TBL] [Abstract][Full Text] [Related]  

  • 2. RNA-Seq: revelation of the messengers.
    Van Verk MC; Hickman R; Pieterse CM; Van Wees SC
    Trends Plant Sci; 2013 Apr; 18(4):175-9. PubMed ID: 23481128
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of RNA-Seq Data Using TopHat and Cufflinks.
    Ghosh S; Chan CK
    Methods Mol Biol; 2016; 1374():339-61. PubMed ID: 26519415
    [TBL] [Abstract][Full Text] [Related]  

  • 4. How to analyze gene expression using RNA-sequencing data.
    Ramsköld D; Kavak E; Sandberg R
    Methods Mol Biol; 2012; 802():259-74. PubMed ID: 22130886
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis.
    Johnson BK; Scholz MB; Teal TK; Abramovitch RB
    BMC Bioinformatics; 2016 Feb; 17():66. PubMed ID: 26847232
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Guidance for RNA-seq co-expression network construction and analysis: safety in numbers.
    Ballouz S; Verleyen W; Gillis J
    Bioinformatics; 2015 Jul; 31(13):2123-30. PubMed ID: 25717192
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Guide for Designing and Analyzing RNA-Seq Data.
    Chatterjee A; Ahn A; Rodger EJ; Stockwell PA; Eccles MR
    Methods Mol Biol; 2018; 1783():35-80. PubMed ID: 29767357
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bioinformatics Pipeline for Transcriptome Sequencing Analysis.
    Djebali S; Wucher V; Foissac S; Hitte C; Corre E; Derrien T
    Methods Mol Biol; 2017; 1468():201-19. PubMed ID: 27662878
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Next-generation sequencing facilitates quantitative analysis of wild-type and Nrl(-/-) retinal transcriptomes.
    Brooks MJ; Rajasimha HK; Roger JE; Swaroop A
    Mol Vis; 2011; 17():3034-54. PubMed ID: 22162623
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Transcriptome analysis using RNA-Seq.
    Hoeijmakers WA; Bártfai R; Stunnenberg HG
    Methods Mol Biol; 2013; 923():221-39. PubMed ID: 22990781
    [TBL] [Abstract][Full Text] [Related]  

  • 12. RNA-Seq for transcriptome analysis in non-model plants.
    Garg R; Jain M
    Methods Mol Biol; 2013; 1069():43-58. PubMed ID: 23996307
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Analysis of RNA-Seq data with TopHat and Cufflinks for genome-wide expression analysis of jasmonate-treated plants and plant cultures.
    Pollier J; Rombauts S; Goossens A
    Methods Mol Biol; 2013; 1011():305-15. PubMed ID: 23616006
    [TBL] [Abstract][Full Text] [Related]  

  • 14. RNA Sequencing and Analysis.
    Kukurba KR; Montgomery SB
    Cold Spring Harb Protoc; 2015 Apr; 2015(11):951-69. PubMed ID: 25870306
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Experimental Design and Power Calculation for RNA-seq Experiments.
    Wu Z; Wu H
    Methods Mol Biol; 2016; 1418():379-90. PubMed ID: 27008024
    [TBL] [Abstract][Full Text] [Related]  

  • 16. High Throughput Sequencing-Based Approaches for Gene Expression Analysis.
    Reddy RRS; Ramanujam MV
    Methods Mol Biol; 2018; 1783():299-323. PubMed ID: 29767369
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Bioinformatics Pipeline for the Identification of CHO Cell Differential Gene Expression from RNA-Seq Data.
    Monger C; Motheramgari K; McSharry J; Barron N; Clarke C
    Methods Mol Biol; 2017; 1603():169-186. PubMed ID: 28493130
    [TBL] [Abstract][Full Text] [Related]  

  • 18. RNA-Seq provides new insights in the transcriptome responses induced by the carcinogen benzo[a]pyrene.
    van Delft J; Gaj S; Lienhard M; Albrecht MW; Kirpiy A; Brauers K; Claessen S; Lizarraga D; Lehrach H; Herwig R; Kleinjans J
    Toxicol Sci; 2012 Dec; 130(2):427-39. PubMed ID: 22889811
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Challenges and strategies in transcriptome assembly and differential gene expression quantification. A comprehensive in silico assessment of RNA-seq experiments.
    Vijay N; Poelstra JW; Künstner A; Wolf JB
    Mol Ecol; 2013 Feb; 22(3):620-34. PubMed ID: 22998089
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved transcriptome quantification and reconstruction from RNA-Seq reads using partial annotations.
    Mangul S; Caciula A; Glebova O; Mandoiu I; Zelikovsky A
    In Silico Biol; 2011-2012; 11(5-6):251-61. PubMed ID: 23202426
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 28.