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 *

82 related articles for article (PubMed ID: 30010788)

  • 1. Determination of sets of covariating gene expression using graph analysis on pairwise expression ratios.
    Curis E; Courtin C; Geoffroy PA; Laplanche JL; Saubaméa B; Marie-Claire C
    Bioinformatics; 2019 Jan; 35(2):258-265. PubMed ID: 30010788
    [TBL] [Abstract][Full Text] [Related]  

  • 2. RNASeqGUI: a GUI for analysing RNA-Seq data.
    Russo F; Angelini C
    Bioinformatics; 2014 Sep; 30(17):2514-6. PubMed ID: 24812338
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. pulseR: Versatile computational analysis of RNA turnover from metabolic labeling experiments.
    Uvarovskii A; Dieterich C
    Bioinformatics; 2017 Oct; 33(20):3305-3307. PubMed ID: 29028260
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A new approach to bias correction in RNA-Seq.
    Jones DC; Ruzzo WL; Peng X; Katze MG
    Bioinformatics; 2012 Apr; 28(7):921-8. PubMed ID: 22285831
    [TBL] [Abstract][Full Text] [Related]  

  • 6. NVT: a fast and simple tool for the assessment of RNA-seq normalization strategies.
    Eder T; Grebien F; Rattei T
    Bioinformatics; 2016 Dec; 32(23):3682-3684. PubMed ID: 27515738
    [TBL] [Abstract][Full Text] [Related]  

  • 7. LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering.
    Specht AT; Li J
    Bioinformatics; 2017 Mar; 33(5):764-766. PubMed ID: 27993778
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Polyester: simulating RNA-seq datasets with differential transcript expression.
    Frazee AC; Jaffe AE; Langmead B; Leek JT
    Bioinformatics; 2015 Sep; 31(17):2778-84. PubMed ID: 25926345
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CentroidAlign: fast and accurate aligner for structured RNAs by maximizing expected sum-of-pairs score.
    Hamada M; Sato K; Kiryu H; Mituyama T; Asai K
    Bioinformatics; 2009 Dec; 25(24):3236-43. PubMed ID: 19808876
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification and visualization of differential isoform expression in RNA-seq time series.
    Nueda MJ; Martorell-Marugan J; Martí C; Tarazona S; Conesa A
    Bioinformatics; 2018 Feb; 34(3):524-526. PubMed ID: 28968682
    [TBL] [Abstract][Full Text] [Related]  

  • 12. DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments.
    Vrahatis AG; Balomenos P; Tsakalidis AK; Bezerianos A
    Bioinformatics; 2016 Dec; 32(24):3844-3846. PubMed ID: 27542770
    [TBL] [Abstract][Full Text] [Related]  

  • 13. graphkernels: R and Python packages for graph comparison.
    Sugiyama M; Ghisu ME; Llinares-López F; Borgwardt K
    Bioinformatics; 2018 Feb; 34(3):530-532. PubMed ID: 29028902
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CONDOP: an R package for CONdition-Dependent Operon Predictions.
    Fortino V; Tagliaferri R; Greco D
    Bioinformatics; 2016 Oct; 32(20):3199-3200. PubMed ID: 27296981
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CAGExploreR: an R package for the analysis and visualization of promoter dynamics across multiple experiments.
    Dimont E; Hofmann O; Ho Sui SJ; Forrest AR; Kawaji H; ; Hide W
    Bioinformatics; 2014 Apr; 30(8):1183-1184. PubMed ID: 24675730
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sincell: an R/Bioconductor package for statistical assessment of cell-state hierarchies from single-cell RNA-seq.
    Juliá M; Telenti A; Rausell A
    Bioinformatics; 2015 Oct; 31(20):3380-2. PubMed ID: 26099264
    [TBL] [Abstract][Full Text] [Related]  

  • 17. TEtranscripts: a package for including transposable elements in differential expression analysis of RNA-seq datasets.
    Jin Y; Tam OH; Paniagua E; Hammell M
    Bioinformatics; 2015 Nov; 31(22):3593-9. PubMed ID: 26206304
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DEsingle for detecting three types of differential expression in single-cell RNA-seq data.
    Miao Z; Deng K; Wang X; Zhang X
    Bioinformatics; 2018 Sep; 34(18):3223-3224. PubMed ID: 29688277
    [TBL] [Abstract][Full Text] [Related]  

  • 19. EBARDenovo: highly accurate de novo assembly of RNA-Seq with efficient chimera-detection.
    Chu HT; Hsiao WW; Chen JC; Yeh TJ; Tsai MH; Lin H; Liu YW; Lee SA; Chen CC; Tsao TT; Kao CY
    Bioinformatics; 2013 Apr; 29(8):1004-10. PubMed ID: 23457040
    [TBL] [Abstract][Full Text] [Related]  

  • 20. miRNAkey: a software for microRNA deep sequencing analysis.
    Ronen R; Gan I; Modai S; Sukacheov A; Dror G; Halperin E; Shomron N
    Bioinformatics; 2010 Oct; 26(20):2615-6. PubMed ID: 20801911
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.