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 *

265 related articles for article (PubMed ID: 26283514)

  • 21. REDHORSE-REcombination and Double crossover detection in Haploid Organisms using next-geneRation SEquencing data.
    Shaik JS; Khan A; Beverley SM; Sibley LD
    BMC Genomics; 2015 Feb; 16(1):133. PubMed ID: 25766039
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Evaluation of 3D Chromatin Interactions Using Hi-C.
    Hu G
    Methods Mol Biol; 2020; 2117():65-78. PubMed ID: 31960372
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Practical Analysis of Hi-C Data: Generating A/B Compartment Profiles.
    Miura H; Poonperm R; Takahashi S; Hiratani I
    Methods Mol Biol; 2018; 1861():221-245. PubMed ID: 30218370
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Selfish: discovery of differential chromatin interactions via a self-similarity measure.
    Ardakany AR; Ay F; Lonardi S
    Bioinformatics; 2019 Jul; 35(14):i145-i153. PubMed ID: 31510653
    [TBL] [Abstract][Full Text] [Related]  

  • 25. htSeqTools: high-throughput sequencing quality control, processing and visualization in R.
    Planet E; Attolini CS; Reina O; Flores O; Rossell D
    Bioinformatics; 2012 Feb; 28(4):589-90. PubMed ID: 22199381
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Analysis of Hi-C Data for Discovery of Structural Variations in Cancer.
    Song F; Xu J; Dixon J; Yue F
    Methods Mol Biol; 2022; 2301():143-161. PubMed ID: 34415534
    [TBL] [Abstract][Full Text] [Related]  

  • 27. qc3C: Reference-free quality control for Hi-C sequencing data.
    DeMaere MZ; Darling AE
    PLoS Comput Biol; 2021 Oct; 17(10):e1008839. PubMed ID: 34634030
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Chromatin conformation capture (Hi-C) sequencing of patient-derived xenografts: analysis guidelines.
    Dozmorov MG; Tyc KM; Sheffield NC; Boyd DC; Olex AL; Reed J; Harrell JC
    Gigascience; 2021 Apr; 10(4):. PubMed ID: 33880552
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Practical Analysis of Genome Contact Interaction Experiments.
    Carty MA; Elemento O
    Methods Mol Biol; 2016; 1418():177-89. PubMed ID: 27008015
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Improving comparative analyses of Hi-C data via contrastive self-supervised learning.
    Li H; He X; Kurowski L; Zhang R; Zhao D; Zeng J
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37287135
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Visualizing Genomic Data Using Gviz and Bioconductor.
    Hahne F; Ivanek R
    Methods Mol Biol; 2016; 1418():335-51. PubMed ID: 27008022
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data.
    Hansen P; Gargano M; Hecht J; Ibn-Salem J; Karlebach G; Roehr JT; Robinson PN
    Genes (Basel); 2019 Jul; 10(7):. PubMed ID: 31323892
    [TBL] [Abstract][Full Text] [Related]  

  • 33. CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data.
    Cairns J; Freire-Pritchett P; Wingett SW; Várnai C; Dimond A; Plagnol V; Zerbino D; Schoenfelder S; Javierre BM; Osborne C; Fraser P; Spivakov M
    Genome Biol; 2016 Jun; 17(1):127. PubMed ID: 27306882
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Methods for discovering genomic loci exhibiting complex patterns of differential methylation.
    Hardcastle TJ
    BMC Bioinformatics; 2017 Sep; 18(1):416. PubMed ID: 28923005
    [TBL] [Abstract][Full Text] [Related]  

  • 35. An evaluation of copy number variation detection tools for cancer using whole exome sequencing data.
    Zare F; Dow M; Monteleone N; Hosny A; Nabavi S
    BMC Bioinformatics; 2017 May; 18(1):286. PubMed ID: 28569140
    [TBL] [Abstract][Full Text] [Related]  

  • 36. ZipHiC: a novel Bayesian framework to identify enriched interactions and experimental biases in Hi-C data.
    Osuntoki IG; Harrison A; Dai H; Bao Y; Zabet NR
    Bioinformatics; 2022 Jul; 38(14):3523-3531. PubMed ID: 35678507
    [TBL] [Abstract][Full Text] [Related]  

  • 37. GITAR: An Open Source Tool for Analysis and Visualization of Hi-C Data.
    Calandrelli R; Wu Q; Guan J; Zhong S
    Genomics Proteomics Bioinformatics; 2018 Oct; 16(5):365-372. PubMed ID: 30553884
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identifying statistically significant chromatin contacts from Hi-C data with FitHiC2.
    Kaul A; Bhattacharyya S; Ay F
    Nat Protoc; 2020 Mar; 15(3):991-1012. PubMed ID: 31980751
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Methods for comparative ChIA-PET and Hi-C data analysis.
    Capurso D; Tang Z; Ruan Y
    Methods; 2020 Jan; 170():69-74. PubMed ID: 31629084
    [TBL] [Abstract][Full Text] [Related]  

  • 40. GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data.
    Harmston N; Ing-Simmons E; Perry M; Barešić A; Lenhard B
    BMC Genomics; 2015 Nov; 16():963. PubMed ID: 26576536
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.