GenomeDiagram: a python']python package for the visualization of large-scale genomic data

被引:68
|
作者
Pritchard, L [1 ]
White, JA [1 ]
Birch, PRJ [1 ]
Toth, IK [1 ]
机构
[1] Scottish Crop Res Inst, Plant Pathogen Programme, Dundee DD2 5DA, Scotland
关键词
D O I
10.1093/bioinformatics/btk021
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We present GenomeDiagram, a flexible, open-source Python module for the visualization of large-scale genomic, comparative genomic and other data with reference to a single chromosome or other biological sequence. GenomeDiagram may be used to generate publication-quality vector graphics, rastered images and in-line streamed graphics for webpages. The package integrates with datatypes from the BioPython project, and is available for Windows, Linux and Mac OS X systems. Availability: GenomeDiagram is freely available as source code (under GNU Public License) at http://bioinf.scri.ac.uk/lp/programs.html, and requires Python 2.3 or higher, and recent versions of the ReportLab and BioPython packages. Contact: lpritc@scri.ac.uk Supplementary Information A user manual, example code and images are available at http://bioinf.scri.ac.uk/lp/programs.html.
引用
收藏
页码:616 / 617
页数:2
相关论文
共 50 条
  • [1] Efficient Graph Analytics in Python']Python for Large-Scale Data Science
    Zhou, Xiantian
    Ordonez, Carlos
    [J]. BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY (DAWAK 2021), 2021, 12925 : 158 - 164
  • [2] DMPy: a Python']Python package for automated mathematical model construction of large-scale metabolic systems
    Smith, Robert W.
    van Rosmalen, RiK P.
    dos Santos, Vitor A. P. Martins
    Fleck, Christian
    [J]. BMC SYSTEMS BIOLOGY, 2018, 12
  • [3] Data Mining of Syntax Errors in a Large-Scale Online Python']Python Course
    Lee, Jung A.
    Koprinska, Irena
    Jeffries, Bryn
    [J]. ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, 2022, 13356 : 599 - 603
  • [4] ExoData: A Python']Python package to handle large exoplanet catalogue data
    Varley, Ryan
    [J]. COMPUTER PHYSICS COMMUNICATIONS, 2016, 207 : 298 - 309
  • [5] EOdal: An open-source Python']Python package for large-scale agroecological research using Earth Observation and gridded environmental data
    Graf, Lukas Valentin
    Perich, Gregor
    Aasen, Helge
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 203
  • [6] pyActigraphy: Open-source python']python package for actigraphy data visualization and analysis
    Hammad, Gregory
    Reyt, Mathilde
    Beliy, Nikita
    Baillet, Marion
    Deantoni, Michele
    Lesoinne, Alexia
    Muto, Vincenzo
    Schmidt, Christina
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2021, 17 (10)
  • [7] spectrum_utils: A Python']Python Package for Mass Spectrometry Data Processing and Visualization
    Bittremieux, Wout
    [J]. ANALYTICAL CHEMISTRY, 2020, 92 (01) : 659 - 661
  • [8] PyCoM: a python']python library for large-scale analysis of residue-residue coevolution data
    Bibik, Philipp
    Alibai, Sabriyeh
    Pandini, Alessandro
    Dantu, Sarath Chandra
    [J]. BIOINFORMATICS, 2024, 40 (04)
  • [9] PyPathway: Python']Python Package for Biological Network Analysis and Visualization
    Xu, Yang
    Luo, Xiao-Chun
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2018, 25 (05) : 499 - 504
  • [10] A Large-Scale Comparison of Python']Python Code in Jupyter Notebooks and Scripts
    Grotov, Konstantin
    Titov, Sergey
    Sotnikov, Vladimir
    Golubev, Yaroslav
    Bryksin, Timofey
    [J]. 2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), 2022, : 353 - 364