BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

221 related articles for article (PubMed ID: 24371156)

  • 1. ALEA: a toolbox for allele-specific epigenomics analysis.
    Younesy H; Möller T; Heravi-Moussavi A; Cheng JB; Costello JF; Lorincz MC; Karimi MM; Jones SJ
    Bioinformatics; 2014 Apr; 30(8):1172-1174. PubMed ID: 24371156
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and application of an integrated allele-specific pipeline for methylomic and epigenomic analysis (MEA).
    Richard Albert J; Koike T; Younesy H; Thompson R; Bogutz AB; Karimi MM; Lorincz MC
    BMC Genomics; 2018 Jun; 19(1):463. PubMed ID: 29907088
    [TBL] [Abstract][Full Text] [Related]  

  • 3. piPipes: a set of pipelines for piRNA and transposon analysis via small RNA-seq, RNA-seq, degradome- and CAGE-seq, ChIP-seq and genomic DNA sequencing.
    Han BW; Wang W; Zamore PD; Weng Z
    Bioinformatics; 2015 Feb; 31(4):593-5. PubMed ID: 25342065
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Epigenetics and Control of RNAs.
    Maatz H; van Heesch S; Kreuchwig F; Faber A; Adami E; Hubner N; Heinig M
    Methods Mol Biol; 2017; 1488():217-237. PubMed ID: 27933526
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Non-referenced genome assembly from epigenomic short-read data.
    Kaspi A; Ziemann M; Keating ST; Khurana I; Connor T; Spolding B; Cooper A; Lazarus R; Walder K; Zimmet P; El-Osta A
    Epigenetics; 2014 Oct; 9(10):1329-38. PubMed ID: 25437048
    [TBL] [Abstract][Full Text] [Related]  

  • 8. QuASAR: quantitative allele-specific analysis of reads.
    Harvey CT; Moyerbrailean GA; Davis GO; Wen X; Luca F; Pique-Regi R
    Bioinformatics; 2015 Apr; 31(8):1235-42. PubMed ID: 25480375
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Epigenetic analysis: ChIP-chip and ChIP-seq.
    Pellegrini M; Ferrari R
    Methods Mol Biol; 2012; 802():377-87. PubMed ID: 22130894
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Quantitative Comparison of Large-Scale DNA Enrichment Sequencing Data.
    Lienhard M; Chavez L
    Methods Mol Biol; 2016; 1418():191-208. PubMed ID: 27008016
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. fCCAC: functional canonical correlation analysis to evaluate covariance between nucleic acid sequencing datasets.
    Madrigal P
    Bioinformatics; 2017 Mar; 33(5):746-748. PubMed ID: 27993776
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. GimmeMotifs: a de novo motif prediction pipeline for ChIP-sequencing experiments.
    van Heeringen SJ; Veenstra GJ
    Bioinformatics; 2011 Jan; 27(2):270-1. PubMed ID: 21081511
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bioinformatic Analysis of ChIP-seq Data on the Repetitive Ribosomal RNA Gene.
    Schwartz U; Längst G
    Methods Mol Biol; 2016; 1455():225-30. PubMed ID: 27576722
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Seten: a tool for systematic identification and comparison of processes, phenotypes, and diseases associated with RNA-binding proteins from condition-specific CLIP-seq profiles.
    Budak G; Srivastava R; Janga SC
    RNA; 2017 Jun; 23(6):836-846. PubMed ID: 28336542
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ABC: a tool to identify SNVs causing allele-specific transcription factor binding from ChIP-Seq experiments.
    Bailey SD; Virtanen C; Haibe-Kains B; Lupien M
    Bioinformatics; 2015 Sep; 31(18):3057-9. PubMed ID: 25995231
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cardiovascular transcriptomics and epigenomics using next-generation sequencing: challenges, progress, and opportunities.
    Wu PY; Chandramohan R; Phan JH; Mahle WT; Gaynor JW; Maher KO; Wang MD
    Circ Cardiovasc Genet; 2014 Oct; 7(5):701-10. PubMed ID: 25518043
    [No Abstract]   [Full Text] [Related]  

  • 19. 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]  

  • 20. An overview of the analysis of next generation sequencing data.
    Gogol-Döring A; Chen W
    Methods Mol Biol; 2012; 802():249-57. PubMed ID: 22130885
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.