دورية أكاديمية

LocusExplorer: a user-friendly tool for integrated visualization of human genetic association data and biological annotations.

التفاصيل البيبلوغرافية
العنوان: LocusExplorer: a user-friendly tool for integrated visualization of human genetic association data and biological annotations.
المؤلفون: Dadaev, T, Leongamornlert, DA, Saunders, EJ, Eeles, R, Kote-Jarai, Z
المساهمون: Saunders, Edward, Eeles, Rosalind, Kote-Jarai, Zsofia
بيانات النشر: OXFORD UNIV PRESS
سنة النشر: 2018
المجموعة: The Institute of Cancer Research (ICR): Publications Repository
مصطلحات موضوعية: Humans, Genetics, Medical, Software, Programming Languages, Web Browser
الوصف: UNLABELLED: : In this article, we present LocusExplorer, a data visualization and exploration tool for genetic association data. LocusExplorer is written in R using the Shiny library, providing access to powerful R-based functions through a simple user interface. LocusExplorer allows users to simultaneously display genetic, statistical and biological data for humans in a single image and allows dynamic zooming and customization of the plot features. Publication quality plots may then be produced in a variety of file formats. AVAILABILITY AND IMPLEMENTATION: LocusExplorer is open source and runs through R and a web browser. It is available at www.oncogenetics.icr.ac.uk/LocusExplorer/ or can be installed locally and the source code accessed from https://github.com/oncogenetics/LocusExplorerTest CONTACT: tokhir.dadaev@icr.ac.uk.
نوع الوثيقة: article in journal/newspaper
وصف الملف: Print-Electronic; 951; application/pdf
اللغة: English
تدمد: 1367-4803
1367-4811
العلاقة: Bioinformatics (Oxford, England), 2016, 32 (6), pp. 949 - 951; https://repository.icr.ac.uk/handle/internal/2897Test
DOI: 10.1093/bioinformatics/btv690
الإتاحة: https://doi.org/10.1093/bioinformatics/btv690Test
https://repository.icr.ac.uk/handle/internal/2897Test
حقوق: https://creativecommons.org/licenses/by/4.0Test
رقم الانضمام: edsbas.E74489D4
قاعدة البيانات: BASE
الوصف
تدمد:13674803
13674811
DOI:10.1093/bioinformatics/btv690