BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

538 related articles for article (PubMed ID: 24586784)

  • 1. RNA CoMPASS: a dual approach for pathogen and host transcriptome analysis of RNA-seq datasets.
    Xu G; Strong MJ; Lacey MR; Baribault C; Flemington EK; Taylor CM
    PLoS One; 2014; 9(2):e89445. PubMed ID: 24586784
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. In Silico HLA Typing Using Standard RNA-Seq Sequence Reads.
    Boegel S; Scholtalbers J; Löwer M; Sahin U; Castle JC
    Methods Mol Biol; 2015; 1310():247-58. PubMed ID: 26024640
    [TBL] [Abstract][Full Text] [Related]  

  • 4. UTAP: User-friendly Transcriptome Analysis Pipeline.
    Kohen R; Barlev J; Hornung G; Stelzer G; Feldmesser E; Kogan K; Safran M; Leshkowitz D
    BMC Bioinformatics; 2019 Mar; 20(1):154. PubMed ID: 30909881
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. RAP: A Web Tool for RNA-Seq Data Analysis.
    D'Antonio M; Libro P; Picardi E; Pesole G; Castrignanò T
    Methods Mol Biol; 2021; 2284():393-415. PubMed ID: 33835454
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Differential Expression Analysis of RNA-seq Reads: Overview, Taxonomy, and Tools.
    Chowdhury HA; Bhattacharyya DK; Kalita JK
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(2):566-586. PubMed ID: 30281477
    [TBL] [Abstract][Full Text] [Related]  

  • 8. READemption-a tool for the computational analysis of deep-sequencing-based transcriptome data.
    Förstner KU; Vogel J; Sharma CM
    Bioinformatics; 2014 Dec; 30(23):3421-3. PubMed ID: 25123900
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analysis of ChIP-Seq and RNA-Seq Data with BioWardrobe.
    Vallabh S; Kartashov AV; Barski A
    Methods Mol Biol; 2018; 1783():343-360. PubMed ID: 29767371
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Analysis of EBV Transcription Using High-Throughput RNA Sequencing.
    O'Grady T; Baddoo M; Flemington EK
    Methods Mol Biol; 2017; 1532():105-121. PubMed ID: 27873270
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Identification of MEF2B, EBF1, and IL6R as Direct Gene Targets of Epstein-Barr Virus (EBV) Nuclear Antigen 1 Critical for EBV-Infected B-Lymphocyte Survival.
    Tempera I; De Leo A; Kossenkov AV; Cesaroni M; Song H; Dawany N; Showe L; Lu F; Wikramasinghe P; Lieberman PM
    J Virol; 2016 Jan; 90(1):345-55. PubMed ID: 26468528
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cloud-scale RNA-sequencing differential expression analysis with Myrna.
    Langmead B; Hansen KD; Leek JT
    Genome Biol; 2010; 11(8):R83. PubMed ID: 20701754
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. GENAVi: a shiny web application for gene expression normalization, analysis and visualization.
    Reyes ALP; Silva TC; Coetzee SG; Plummer JT; Davis BD; Chen S; Hazelett DJ; Lawrenson K; Berman BP; Gayther SA; Jones MR
    BMC Genomics; 2019 Oct; 20(1):745. PubMed ID: 31619158
    [TBL] [Abstract][Full Text] [Related]  

  • 17. iSeq: Web-Based RNA-seq Data Analysis and Visualization.
    Zhang C; Fan C; Gan J; Zhu P; Kong L; Li C
    Methods Mol Biol; 2018; 1754():167-181. PubMed ID: 29536443
    [TBL] [Abstract][Full Text] [Related]  

  • 18. iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data.
    Ge SX; Son EW; Yao R
    BMC Bioinformatics; 2018 Dec; 19(1):534. PubMed ID: 30567491
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accurate inference of isoforms from multiple sample RNA-Seq data.
    Tasnim M; Ma S; Yang EW; Jiang T; Li W
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S15. PubMed ID: 25708199
    [TBL] [Abstract][Full Text] [Related]  

  • 20. c-Myc and Rel/NF-kappaB are the two master transcriptional systems activated in the latency III program of Epstein-Barr virus-immortalized B cells.
    Faumont N; Durand-Panteix S; Schlee M; Grömminger S; Schuhmacher M; Hölzel M; Laux G; Mailhammer R; Rosenwald A; Staudt LM; Bornkamm GW; Feuillard J
    J Virol; 2009 May; 83(10):5014-27. PubMed ID: 19264782
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 27.