BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1255 related articles for article (PubMed ID: 22936215)

  • 21. Genome-wide localization of protein-DNA binding and histone modification by a Bayesian change-point method with ChIP-seq data.
    Xing H; Mo Y; Liao W; Zhang MQ
    PLoS Comput Biol; 2012; 8(7):e1002613. PubMed ID: 22844240
    [TBL] [Abstract][Full Text] [Related]  

  • 22. RSAT::Plants: Motif Discovery in ChIP-Seq Peaks of Plant Genomes.
    Castro-Mondragon JA; Rioualen C; Contreras-Moreira B; van Helden J
    Methods Mol Biol; 2016; 1482():297-322. PubMed ID: 27557775
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Characterising ChIP-seq binding patterns by model-based peak shape deconvolution.
    Mendoza-Parra MA; Nowicka M; Van Gool W; Gronemeyer H
    BMC Genomics; 2013 Nov; 14(1):834. PubMed ID: 24279297
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Bioinformatics Methods for ChIP-seq Histone Analysis.
    Servant N
    Methods Mol Biol; 2022; 2529():267-293. PubMed ID: 35733020
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Differential motif enrichment analysis of paired ChIP-seq experiments.
    Lesluyes T; Johnson J; Machanick P; Bailey TL
    BMC Genomics; 2014 Sep; 15(1):752. PubMed ID: 25179504
    [TBL] [Abstract][Full Text] [Related]  

  • 26. PePr: a peak-calling prioritization pipeline to identify consistent or differential peaks from replicated ChIP-Seq data.
    Zhang Y; Lin YH; Johnson TD; Rozek LS; Sartor MA
    Bioinformatics; 2014 Sep; 30(18):2568-75. PubMed ID: 24894502
    [TBL] [Abstract][Full Text] [Related]  

  • 27. ChIP-seq analysis of histone modifications at the core of the Arabidopsis circadian clock.
    Malapeira J; Mas P
    Methods Mol Biol; 2014; 1158():57-69. PubMed ID: 24792044
    [TBL] [Abstract][Full Text] [Related]  

  • 28. diffReps: detecting differential chromatin modification sites from ChIP-seq data with biological replicates.
    Shen L; Shao NY; Liu X; Maze I; Feng J; Nestler EJ
    PLoS One; 2013; 8(6):e65598. PubMed ID: 23762400
    [TBL] [Abstract][Full Text] [Related]  

  • 29. DROMPA: easy-to-handle peak calling and visualization software for the computational analysis and validation of ChIP-seq data.
    Nakato R; Itoh T; Shirahige K
    Genes Cells; 2013 Jul; 18(7):589-601. PubMed ID: 23672187
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Comparison of four ChIP-Seq analytical algorithms using rice endosperm H3K27 trimethylation profiling data.
    Malone BM; Tan F; Bridges SM; Peng Z
    PLoS One; 2011; 6(9):e25260. PubMed ID: 21984925
    [TBL] [Abstract][Full Text] [Related]  

  • 31. OccuPeak: ChIP-Seq peak calling based on internal background modelling.
    de Boer BA; van Duijvenboden K; van den Boogaard M; Christoffels VM; Barnett P; Ruijter JM
    PLoS One; 2014; 9(6):e99844. PubMed ID: 24936875
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Measuring Sister Chromatid Cohesion Protein Genome Occupancy in Drosophila melanogaster by ChIP-seq.
    Dorsett D; Misulovin Z
    Methods Mol Biol; 2017; 1515():125-139. PubMed ID: 27797077
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A statistical framework for power calculations in ChIP-seq experiments.
    Zuo C; Keleş S
    Bioinformatics; 2014 Mar; 30(6):753-60. PubMed ID: 23665773
    [TBL] [Abstract][Full Text] [Related]  

  • 34. AREM: aligning short reads from ChIP-sequencing by expectation maximization.
    Newkirk D; Biesinger J; Chon A; Yokomori K; Xie X
    J Comput Biol; 2011 Nov; 18(11):1495-505. PubMed ID: 22035330
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A signal-noise model for significance analysis of ChIP-seq with negative control.
    Xu H; Handoko L; Wei X; Ye C; Sheng J; Wei CL; Lin F; Sung WK
    Bioinformatics; 2010 May; 26(9):1199-204. PubMed ID: 20371496
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A MAD-Bayes Algorithm for State-Space Inference and Clustering with Application to Querying Large Collections of ChIP-Seq Data Sets.
    Zuo C; Chen K; Keleş S
    J Comput Biol; 2017 Jun; 24(6):472-485. PubMed ID: 27835030
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Genome-wide mapping of histone H3 lysine 4 trimethylation in Eucalyptus grandis developing xylem.
    Hussey SG; Mizrachi E; Groover A; Berger DK; Myburg AA
    BMC Plant Biol; 2015 May; 15():117. PubMed ID: 25957781
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Optimizing detection of transcription factor-binding sites in ChIP-seq experiments.
    Kallio A; Elo LL
    Methods Mol Biol; 2013; 1038():181-91. PubMed ID: 23872976
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Inferring direct DNA binding from ChIP-seq.
    Bailey TL; Machanick P
    Nucleic Acids Res; 2012 Sep; 40(17):e128. PubMed ID: 22610855
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Sensitive and robust assessment of ChIP-seq read distribution using a strand-shift profile.
    Nakato R; Shirahige K
    Bioinformatics; 2018 Jul; 34(14):2356-2363. PubMed ID: 29528371
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 63.