BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

202 related articles for article (PubMed ID: 33177523)

  • 1. Interactive analysis of single-cell epigenomic landscapes with ChromSCape.
    Prompsy P; Kirchmeier P; Marsolier J; Deloger M; Servant N; Vallot C
    Nat Commun; 2020 Nov; 11(1):5702. PubMed ID: 33177523
    [TBL] [Abstract][Full Text] [Related]  

  • 2. High-throughput single-cell ChIP-seq identifies heterogeneity of chromatin states in breast cancer.
    Grosselin K; Durand A; Marsolier J; Poitou A; Marangoni E; Nemati F; Dahmani A; Lameiras S; Reyal F; Frenoy O; Pousse Y; Reichen M; Woolfe A; Brenan C; Griffiths AD; Vallot C; Gérard A
    Nat Genet; 2019 Jun; 51(6):1060-1066. PubMed ID: 31152164
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Methods for ChIP-seq analysis: A practical workflow and advanced applications.
    Nakato R; Sakata T
    Methods; 2021 Mar; 187():44-53. PubMed ID: 32240773
    [TBL] [Abstract][Full Text] [Related]  

  • 4. NUCLIZE for quantifying epigenome: generating histone modification data at single-nucleosome resolution using genuine nucleosome positions.
    Zheng D; Trynda J; Sun Z; Li Z
    BMC Genomics; 2019 Jul; 20(1):541. PubMed ID: 31266464
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computational methods to explore chromatin state dynamics.
    Orouji E; Raman AT
    Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36208178
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Super-Resolution Imaging of Higher-Order Chromatin Structures at Different Epigenomic States in Single Mammalian Cells.
    Xu J; Ma H; Jin J; Uttam S; Fu R; Huang Y; Liu Y
    Cell Rep; 2018 Jul; 24(4):873-882. PubMed ID: 30044984
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mapping histone modifications in low cell number and single cells using antibody-guided chromatin tagmentation (ACT-seq).
    Carter B; Ku WL; Kang JY; Hu G; Perrie J; Tang Q; Zhao K
    Nat Commun; 2019 Aug; 10(1):3747. PubMed ID: 31431618
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Preprocessing and Computational Analysis of Single-Cell Epigenomic Datasets.
    Lareau C; Kangeyan D; Aryee MJ
    Methods Mol Biol; 2019; 1935():187-202. PubMed ID: 30758828
    [TBL] [Abstract][Full Text] [Related]  

  • 9. DeepHistone: a deep learning approach to predicting histone modifications.
    Yin Q; Wu M; Liu Q; Lv H; Jiang R
    BMC Genomics; 2019 Apr; 20(Suppl 2):193. PubMed ID: 30967126
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Single molecule and single cell epigenomics.
    Hyun BR; McElwee JL; Soloway PD
    Methods; 2015 Jan; 72():41-50. PubMed ID: 25204781
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A chromatin integration labelling method enables epigenomic profiling with lower input.
    Harada A; Maehara K; Handa T; Arimura Y; Nogami J; Hayashi-Takanaka Y; Shirahige K; Kurumizaka H; Kimura H; Ohkawa Y
    Nat Cell Biol; 2019 Feb; 21(2):287-296. PubMed ID: 30532068
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Global histone modification profiling reveals the epigenomic dynamics during malignant transformation in a four-stage breast cancer model.
    Zhao QY; Lei PJ; Zhang X; Zheng JY; Wang HY; Zhao J; Li YM; Ye M; Li L; Wei G; Wu M
    Clin Epigenetics; 2016; 8():34. PubMed ID: 27034728
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ChromBiSim: Interactive chromatin biclustering using a simple approach.
    Noureen N; Zohaib HM; Qadir MA; Fazal S
    Genomics; 2017 Oct; 109(5-6):353-361. PubMed ID: 28579515
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying dispersed epigenomic domains from ChIP-Seq data.
    Song Q; Smith AD
    Bioinformatics; 2011 Mar; 27(6):870-1. PubMed ID: 21325299
    [TBL] [Abstract][Full Text] [Related]  

  • 15. HebbPlot: an intelligent tool for learning and visualizing chromatin mark signatures.
    Girgis HZ; Velasco A; Reyes ZE
    BMC Bioinformatics; 2018 Sep; 19(1):310. PubMed ID: 30176808
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Practical Guidelines for High-Resolution Epigenomic Profiling of Nucleosomal Histones in Postmortem Human Brain Tissue.
    Kundakovic M; Jiang Y; Kavanagh DH; Dincer A; Brown L; Pothula V; Zharovsky E; Park R; Jacobov R; Magro I; Kassim B; Wiseman J; Dang K; Sieberts SK; Roussos P; Fromer M; Harris B; Lipska BK; Peters MA; Sklar P; Akbarian S
    Biol Psychiatry; 2017 Jan; 81(2):162-170. PubMed ID: 27113501
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CoBATCH for High-Throughput Single-Cell Epigenomic Profiling.
    Wang Q; Xiong H; Ai S; Yu X; Liu Y; Zhang J; He A
    Mol Cell; 2019 Oct; 76(1):206-216.e7. PubMed ID: 31471188
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues.
    Bartosovic M; Kabbe M; Castelo-Branco G
    Nat Biotechnol; 2021 Jul; 39(7):825-835. PubMed ID: 33846645
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multimodal chromatin profiling using nanobody-based single-cell CUT&Tag.
    Bartosovic M; Castelo-Branco G
    Nat Biotechnol; 2023 Jun; 41(6):794-805. PubMed ID: 36536148
    [TBL] [Abstract][Full Text] [Related]  

  • 20. histoneHMM: Differential analysis of histone modifications with broad genomic footprints.
    Heinig M; Colomé-Tatché M; Taudt A; Rintisch C; Schafer S; Pravenec M; Hubner N; Vingron M; Johannes F
    BMC Bioinformatics; 2015 Feb; 16():60. PubMed ID: 25884684
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.