poRe: an R package for the visualization and analysis of nanopore sequencing data

被引:55
|
作者
Watson, Mick [1 ,2 ]
Thomson, Marian [3 ]
Risse, Judith [3 ]
Talbot, Richard [1 ]
Santoyo-Lopez, Javier [3 ]
Gharbi, Karim [3 ]
Blaxter, Mark [3 ]
机构
[1] Univ Edinburgh, Roslin Inst, Edinburgh Genom, Edinburgh EH25 9RG, Midlothian, Scotland
[2] Univ Edinburgh, RD SVS, Edinburgh EH25 9RG, Midlothian, Scotland
[3] Univ Edinburgh, Edinburgh Genom, Inst Evolutionary Biol, Ashworth Labs, Edinburgh EH9 3JT, Midlothian, Scotland
基金
英国医学研究理事会; 英国生物技术与生命科学研究理事会;
关键词
D O I
10.1093/bioinformatics/btu590
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: The Oxford Nanopore MinION device represents a unique sequencing technology. As a mobile sequencing device powered by the USB port of a laptop, the MinION has huge potential applications. To enable these applications, the bioinformatics community will need to design and build a suite of tools specifically for MinION data. Results: Here we present poRe, a package for R that enables users to manipulate, organize, summarize and visualize MinION nanopore sequencing data. As a package for R, poRe has been tested on Windows, Linux and MacOSX. Crucially, the Windows version allows users to analyse MinION data on the Windows laptop attached to the device.
引用
收藏
页码:114 / 115
页数:2
相关论文
共 50 条
  • [1] NanoR: A user-friendly R package to analyze and compare nanopore sequencing data
    Bolognini, Davide
    Bartalucci, Niccolo
    Mingrino, Alessandra
    Vannucchi, Alessandro Maria
    Magi, Alberto
    PLOS ONE, 2019, 14 (05):
  • [2] ceas: an R package for Seahorse data analysis and visualization
    House, Rachel J.
    Eapen, James P.
    Shen, Hui
    Graveel, Carrie R.
    Steensma, Matthew R.
    BIOINFORMATICS, 2024, 40 (08)
  • [3] Interactive visualization of nanopore sequencing signal data with Squigualiser
    Samarakoon, Hiruna
    Liyanage, Kisaru
    Ferguson, James M.
    Parameswaran, Sri
    Gamaarachchi, Hasindu
    Deveson, Ira W.
    BIOINFORMATICS, 2024, 40 (08)
  • [4] pavo: an R package for the analysis, visualization and organization of spectral data
    Maia, Rafael
    Eliason, Chad M.
    Bitton, Pierre-Paul
    Doucet, Stephanie M.
    Shawkey, Matthew D.
    METHODS IN ECOLOGY AND EVOLUTION, 2013, 4 (10): : 906 - 913
  • [5] phylogeo: an R package for geographic analysis and visualization of microbiome data
    Charlop-Powers, Zachary
    Brady, Sean F.
    BIOINFORMATICS, 2015, 31 (17) : 2909 - 2911
  • [6] PhenoMetaboDiff: R Package for Analysis and Visualization of Phenotype Microarray Data
    Pauly, Rini
    Iqbal, Mehtab
    Lee, Narae
    Moffitt, Bridgette Allen
    Sarasua, Sara Moir
    Li, Luyi
    Hubig, Nina Christine
    Boccuto, Luigi
    GENES, 2024, 15 (11)
  • [7] HPG pore: an efficient and scalable framework for nanopore sequencing data
    Tarraga, Joaquin
    Gallego, Asuncion
    Arnau, Vicente
    Medina, Ignacio
    Dopazo, Joaquin
    BMC BIOINFORMATICS, 2016, 17
  • [8] HPG pore: an efficient and scalable framework for nanopore sequencing data
    Joaquin Tarraga
    Asunción Gallego
    Vicente Arnau
    Ignacio Medina
    Joaquin Dopazo
    BMC Bioinformatics, 17
  • [9] PCBS: an R package for fast and accurate analysis of bisulfite sequencing data
    Lande, Kathryn
    Williams, April E.
    BIOINFORMATICS, 2024, 40 (10)
  • [10] spatialTIME and iTIME: R package and Shiny application for visualization and analysis of immunofluorescence data
    Creed, Jordan H.
    Wilson, Christopher M.
    Soupir, Alex C.
    Colin-Leitzinger, Christelle M.
    Kimmel, Gregory J.
    Ospina, Oscar E.
    Chakiryan, Nicholas H.
    Markowitz, Joseph
    Peres, Lauren C.
    Coghill, Anna
    Fridley, Brooke L.
    BIOINFORMATICS, 2021, 37 (23) : 4584 - 4586