BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

264 related articles for article (PubMed ID: 26678515)

  • 1. SpliceJumper: a classification-based approach for calling splicing junctions from RNA-seq data.
    Chu C; Li X; Wu Y
    BMC Bioinformatics; 2015; 16 Suppl 17(Suppl 17):S10. PubMed ID: 26678515
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Read-Split-Run: an improved bioinformatics pipeline for identification of genome-wide non-canonical spliced regions using RNA-Seq data.
    Bai Y; Kinne J; Donham B; Jiang F; Ding L; Hassler JR; Kaufman RJ
    BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):503. PubMed ID: 27556805
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Discerning novel splice junctions derived from RNA-seq alignment: a deep learning approach.
    Zhang Y; Liu X; MacLeod J; Liu J
    BMC Genomics; 2018 Dec; 19(1):971. PubMed ID: 30591034
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Discover hidden splicing variations by mapping personal transcriptomes to personal genomes.
    Stein S; Lu ZX; Bahrami-Samani E; Park JW; Xing Y
    Nucleic Acids Res; 2015 Dec; 43(22):10612-22. PubMed ID: 26578562
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Global and unbiased detection of splice junctions from RNA-seq data.
    Ameur A; Wetterbom A; Feuk L; Gyllensten U
    Genome Biol; 2010; 11(3):R34. PubMed ID: 20236510
    [TBL] [Abstract][Full Text] [Related]  

  • 6. PASSion: a pattern growth algorithm-based pipeline for splice junction detection in paired-end RNA-Seq data.
    Zhang Y; Lameijer EW; 't Hoen PA; Ning Z; Slagboom PE; Ye K
    Bioinformatics; 2012 Feb; 28(4):479-86. PubMed ID: 22219203
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using RNA-Seq to Discover Genetic Polymorphisms That Produce Hidden Splice Variants.
    Stein S; Bahrami-Samani E; Xing Y
    Methods Mol Biol; 2017; 1648():129-142. PubMed ID: 28766294
    [TBL] [Abstract][Full Text] [Related]  

  • 8. RNA-Seq read alignments with PALMapper.
    Jean G; Kahles A; Sreedharan VT; De Bona F; Rätsch G
    Curr Protoc Bioinformatics; 2010 Dec; Chapter 11():Unit 11.6. PubMed ID: 21154708
    [TBL] [Abstract][Full Text] [Related]  

  • 9. JAGuaR: junction alignments to genome for RNA-seq reads.
    Butterfield YS; Kreitzman M; Thiessen N; Corbett RD; Li Y; Pang J; Ma YP; Jones SJ; Birol İ
    PLoS One; 2014; 9(7):e102398. PubMed ID: 25062255
    [TBL] [Abstract][Full Text] [Related]  

  • 10. FX: an RNA-Seq analysis tool on the cloud.
    Hong D; Rhie A; Park SS; Lee J; Ju YS; Kim S; Yu SB; Bleazard T; Park HS; Rhee H; Chong H; Yang KS; Lee YS; Kim IH; Lee JS; Kim JI; Seo JS
    Bioinformatics; 2012 Mar; 28(5):721-3. PubMed ID: 22257667
    [TBL] [Abstract][Full Text] [Related]  

  • 11. PASTA: splice junction identification from RNA-sequencing data.
    Tang S; Riva A
    BMC Bioinformatics; 2013 Apr; 14():116. PubMed ID: 23557086
    [TBL] [Abstract][Full Text] [Related]  

  • 12. TopHat: discovering splice junctions with RNA-Seq.
    Trapnell C; Pachter L; Salzberg SL
    Bioinformatics; 2009 May; 25(9):1105-11. PubMed ID: 19289445
    [TBL] [Abstract][Full Text] [Related]  

  • 13. iMapSplice: Alleviating reference bias through personalized RNA-seq alignment.
    Liu X; MacLeod JN; Liu J
    PLoS One; 2018; 13(8):e0201554. PubMed ID: 30096157
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient and accurate detection of splice junctions from RNA-seq with Portcullis.
    Mapleson D; Venturini L; Kaithakottil G; Swarbreck D
    Gigascience; 2018 Dec; 7(12):. PubMed ID: 30418570
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hierarchical analysis of RNA-seq reads improves the accuracy of allele-specific expression.
    Raghupathy N; Choi K; Vincent MJ; Beane GL; Sheppard KS; Munger SC; Korstanje R; Pardo-Manual de Villena F; Churchill GA
    Bioinformatics; 2018 Jul; 34(13):2177-2184. PubMed ID: 29444201
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction and Quantification of Splice Events from RNA-Seq Data.
    Goldstein LD; Cao Y; Pau G; Lawrence M; Wu TD; Seshagiri S; Gentleman R
    PLoS One; 2016; 11(5):e0156132. PubMed ID: 27218464
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SplicingCompass: differential splicing detection using RNA-seq data.
    Aschoff M; Hotz-Wagenblatt A; Glatting KH; Fischer M; Eils R; König R
    Bioinformatics; 2013 May; 29(9):1141-8. PubMed ID: 23449093
    [TBL] [Abstract][Full Text] [Related]  

  • 18. TrueSight: a new algorithm for splice junction detection using RNA-seq.
    Li Y; Li-Byarlay H; Burns P; Borodovsky M; Robinson GE; Ma J
    Nucleic Acids Res; 2013 Feb; 41(4):e51. PubMed ID: 23254332
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Workflow for Genome-Wide Determination of Pre-mRNA Splicing Efficiency from Yeast RNA-seq Data.
    Převorovský M; Hálová M; Abrhámová K; Libus J; Folk P
    Biomed Res Int; 2016; 2016():4783841. PubMed ID: 28050562
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 2passtools: two-pass alignment using machine-learning-filtered splice junctions increases the accuracy of intron detection in long-read RNA sequencing.
    Parker MT; Knop K; Barton GJ; Simpson GG
    Genome Biol; 2021 Mar; 22(1):72. PubMed ID: 33648554
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.