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 *

191 related articles for article (PubMed ID: 33208455)

  • 1. MAnorm2 for quantitatively comparing groups of ChIP-seq samples.
    Tu S; Li M; Chen H; Tan F; Xu J; Waxman DJ; Zhang Y; Shao Z
    Genome Res; 2021 Jan; 31(1):131-145. PubMed ID: 33208455
    [TBL] [Abstract][Full Text] [Related]  

  • 2. QChIPat: a quantitative method to identify distinct binding patterns for two biological ChIP-seq samples in different experimental conditions.
    Liu B; Yi J; Sv A; Lan X; Ma Y; Huang TH; Leone G; Jin VX
    BMC Genomics; 2013; 14 Suppl 8(Suppl 8):S3. PubMed ID: 24564479
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CHIPIN: ChIP-seq inter-sample normalization based on signal invariance across transcriptionally constant genes.
    Polit L; Kerdivel G; Gregoricchio S; Esposito M; Guillouf C; Boeva V
    BMC Bioinformatics; 2021 Aug; 22(1):407. PubMed ID: 34404353
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comprehensive assessment of differential ChIP-seq tools guides optimal algorithm selection.
    Eder T; Grebien F
    Genome Biol; 2022 May; 23(1):119. PubMed ID: 35606795
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Analysis of Myc Chromatin Binding by Calibrated ChIP-Seq Approach.
    Cameron DP; Kuzin V; Baranello L
    Methods Mol Biol; 2021; 2318():161-185. PubMed ID: 34019290
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Unified Analysis of Multiple ChIP-Seq Datasets.
    Ma G; Babarinde IA; Zhuang Q; Hutchins AP
    Methods Mol Biol; 2021; 2198():451-465. PubMed ID: 32822050
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An improved ChIP-seq peak detection system for simultaneously identifying post-translational modified transcription factors by combinatorial fusion, using SUMOylation as an example.
    Cheng CY; Chu CH; Hsu HW; Hsu FR; Tang CY; Wang WC; Kung HJ; Chang PC
    BMC Genomics; 2014; 15 Suppl 1(Suppl 1):S1. PubMed ID: 24564277
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A comprehensive comparison of tools for differential ChIP-seq analysis.
    Steinhauser S; Kurzawa N; Eils R; Herrmann C
    Brief Bioinform; 2016 Nov; 17(6):953-966. PubMed ID: 26764273
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Role of ChIP-seq in the discovery of transcription factor binding sites, differential gene regulation mechanism, epigenetic marks and beyond.
    Mundade R; Ozer HG; Wei H; Prabhu L; Lu T
    Cell Cycle; 2014; 13(18):2847-52. PubMed ID: 25486472
    [TBL] [Abstract][Full Text] [Related]  

  • 11. C4S DB: Comprehensive Collection and Comparison for ChIP-Seq Database.
    Anzawa H; Kinoshita K
    J Mol Biol; 2023 Jul; 435(14):168157. PubMed ID: 37244568
    [TBL] [Abstract][Full Text] [Related]  

  • 12. ChIP-GSM: Inferring active transcription factor modules to predict functional regulatory elements.
    Chen X; Neuwald AF; Hilakivi-Clarke L; Clarke R; Xuan J
    PLoS Comput Biol; 2021 Jul; 17(7):e1009203. PubMed ID: 34292930
    [TBL] [Abstract][Full Text] [Related]  

  • 13. intePareto: an R package for integrative analyses of RNA-Seq and ChIP-Seq data.
    Cao Y; Kitanovski S; Hoffmann D
    BMC Genomics; 2020 Dec; 21(Suppl 11):802. PubMed ID: 33372591
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Peak Scores Significantly Depend on the Relationships between Contextual Signals in ChIP-Seq Peaks.
    Vishnevsky OV; Bocharnikov AV; Ignatieva EV
    Int J Mol Sci; 2024 Jan; 25(2):. PubMed ID: 38256085
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparative study on ChIP-seq data: normalization and binding pattern characterization.
    Taslim C; Wu J; Yan P; Singer G; Parvin J; Huang T; Lin S; Huang K
    Bioinformatics; 2009 Sep; 25(18):2334-40. PubMed ID: 19561022
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ChIP-BIT: Bayesian inference of target genes using a novel joint probabilistic model of ChIP-seq profiles.
    Chen X; Jung JG; Shajahan-Haq AN; Clarke R; Shih IeM; Wang Y; Magnani L; Wang TL; Xuan J
    Nucleic Acids Res; 2016 Apr; 44(7):e65. PubMed ID: 26704972
    [TBL] [Abstract][Full Text] [Related]  

  • 17. On the detection and refinement of transcription factor binding sites using ChIP-Seq data.
    Hu M; Yu J; Taylor JM; Chinnaiyan AM; Qin ZS
    Nucleic Acids Res; 2010 Apr; 38(7):2154-67. PubMed ID: 20056654
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Normalization of ChIP-seq data with control.
    Liang K; Keleş S
    BMC Bioinformatics; 2012 Aug; 13():199. PubMed ID: 22883957
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Is this the right normalization? A diagnostic tool for ChIP-seq normalization.
    Angelini C; Heller R; Volkinshtein R; Yekutieli D
    BMC Bioinformatics; 2015 May; 16():150. PubMed ID: 25957089
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ChIPSummitDB: a ChIP-seq-based database of human transcription factor binding sites and the topological arrangements of the proteins bound to them.
    Czipa E; Schiller M; Nagy T; Kontra L; Steiner L; Koller J; Pálné-Szén O; Barta E
    Database (Oxford); 2020 Jan; 2020():. PubMed ID: 31942977
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.