ChroKit: a Shiny-based framework for interactive analysis, visualization and integration of genomic data

被引:2
|
作者
Croci, Ottavio [1 ]
Campaner, Stefano [1 ]
机构
[1] Fdn Ist Italiano Tecnol IIT, Ctr Genom Sci CGS SEMM, I-20139 Milan, Italy
关键词
RNA-SEQ; PACKAGE; MYC;
D O I
10.1093/nar/gkad345
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We developed ChroKit (the Chromatin toolKit), an interactive web-based framework written in R that enables intuitive exploration, multidimensional analyses, and visualization of genomic data from ChIP-Seq, DNAse-Seq or any other NGS experiment that reports the enrichment of aligned reads over genomic regions. This program takes preprocessed NGS data and performs operations on genomic regions of interest, including resetting their boundaries, their annotation based on proximity to genomic features, the association to gene ontologies, and signal enrichment calculations. Genomic regions can be further refined or subsetted by user-defined logical operations and unsupervised classification algorithms. ChroKit generates a full range of plots that are easily manipulated by point and click operations, thus allowing 'on the fly' re-analysis and fast exploration of the data. Working sessions can be exported for reproducibility, accountability, and easy sharing within the bioinformatics community. ChroKit is multiplatform and can be deployed on a server to enhance computational speed and provide simultaneous access by multiple users. ChroKit is a fast and intuitive genomic analysis tool suited for a wide range of users due to its architecture and its user-friendly graphical interface. ChroKit source code is available at https://github.com/ocroci/ChroKit and the Docker image at https://hub.docker.com/r/ocroci/chrokit.
引用
收藏
页码:W83 / W92
页数:10
相关论文
共 50 条
  • [1] MatrixQCvis: shiny-based interactive data quality exploration for omics data
    Naake, Thomas
    Huber, Wolfgang
    BIOINFORMATICS, 2022, 38 (04) : 1181 - 1182
  • [2] An R Shiny-based, Interactive Visualization Tool to Exploit Clinical Trial and Real World Data: Application to Acid Sphingomyelinase Deficiency and Olipudase Alfa ERT
    Watson, Shayne
    Kaddi, Chanchala
    Williams, Jason
    Ribes, Edouard
    Barrett, Jeffrey S.
    Azer, Karim
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2016, 43 : S116 - S116
  • [3] Interactive web-based data visualization with R, plotly, and shiny
    Shalabh
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2021, 184 (03) : 1150 - 1150
  • [4] Interactive web-based data visualization with R, plotly, and shiny
    Li, Ran
    Bilal, Usama
    BIOMETRICS, 2021, 77 (02) : 776 - 777
  • [5] Improving pharmacometrics analysis efficiency using DataCheQC: An interactive, Shiny-based app for quality control of pharmacometrics datasets
    Dotan, Or
    Radivojevic, Andrijana
    Singh, Rajendra
    CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2023, 12 (10): : 1375 - 1385
  • [6] ShinySyn: a Shiny/R application for the interactive visualization and integration of macro- and micro-synteny data
    Xiao, Zhixia
    Lam, Hon-Ming
    BIOINFORMATICS, 2022, 38 (18) : 4406 - 4408
  • [7] ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studies
    Hussain, Waseem
    Campbell, Malachy
    Walia, Harkamal
    Morota, Gota
    PLANT DIRECT, 2018, 2 (10)
  • [8] TCC-GUI: a Shiny-based application for differential expression analysis of RNA-Seq count data
    Wei Su
    Jianqiang Sun
    Kentaro Shimizu
    Koji Kadota
    BMC Research Notes, 12
  • [9] Advancing Nursing Research Through Interactive Data Visualization With R Shiny
    Heinsberg, Lacey W.
    Koleck, Theresa A.
    Ray, Mitali
    Weeks, Daniel E.
    Conley, Yvette P.
    BIOLOGICAL RESEARCH FOR NURSING, 2023, 25 (01) : 107 - 116
  • [10] TCC-GUI: a Shiny-based application for differential expression analysis of RNA-Seq count data
    Su, Wei
    Sun, Jianqiang
    Shimizu, Kentaro
    Kadota, Koji
    BMC RESEARCH NOTES, 2019, 12 (1)