Literature DB >> 18245128

Using flowViz to visualize flow cytometry data.

D Sarkar1, N Le Meur, R Gentleman.   

Abstract

UNLABELLED: Automated analysis of flow cytometry (FCM) data is essential for it to become successful as a high throughput technology. We believe that the principles of Trellis graphics can be adapted to provide useful visualizations that can aid such automation. In this article, we describe the R/Bioconductor package flowViz that implements such visualizations. AVAILABILITY: flowViz is available as an R package from the Bioconductor project: http://bioconductor.org

Mesh:

Year:  2008        PMID: 18245128      PMCID: PMC2768483          DOI: 10.1093/bioinformatics/btn021

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  1 in total

1.  High-content flow cytometry and temporal data analysis for defining a cellular signature of graft-versus-host disease.

Authors:  Ryan Remy Brinkman; Maura Gasparetto; Shang-Jung Jessica Lee; Albert J Ribickas; Janelle Perkins; William Janssen; Renee Smiley; Clay Smith
Journal:  Biol Blood Marrow Transplant       Date:  2007-04-06       Impact factor: 5.742

  1 in total
  31 in total

1.  Adaptation to a new environment allows cooperators to purge cheaters stochastically.

Authors:  Adam James Waite; Wenying Shou
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

2.  Pathogenic Allodiploid Hybrids of Aspergillus Fungi.

Authors:  Jacob L Steenwyk; Abigail L Lind; Laure N A Ries; Thaila F Dos Reis; Lilian P Silva; Fausto Almeida; Rafael W Bastos; Thais Fernanda de Campos Fraga da Silva; Vania L D Bonato; André Moreira Pessoni; Fernando Rodrigues; Huzefa A Raja; Sonja L Knowles; Nicholas H Oberlies; Katrien Lagrou; Gustavo H Goldman; Antonis Rokas
Journal:  Curr Biol       Date:  2020-06-04       Impact factor: 10.834

Review 3.  Computational analysis of high-throughput flow cytometry data.

Authors:  J Paul Robinson; Bartek Rajwa; Valery Patsekin; Vincent Jo Davisson
Journal:  Expert Opin Drug Discov       Date:  2012-06-18       Impact factor: 6.098

4.  Evaluating flow cytometer performance with weighted quadratic least squares analysis of LED and multi-level bead data.

Authors:  David R Parks; Faysal El Khettabi; Eric Chase; Robert A Hoffman; Stephen P Perfetto; Josef Spidlen; James C S Wood; Wayne A Moore; Ryan R Brinkman
Journal:  Cytometry A       Date:  2017-02-03       Impact factor: 4.355

5.  Polar Fixation of Plasmids during Recombinant Protein Production in Bacillus megaterium Results in Population Heterogeneity.

Authors:  Karin M Münch; Johannes Müller; Sarah Wienecke; Simone Bergmann; Steffi Heyber; Rebekka Biedendieck; Richard Münch; Dieter Jahn
Journal:  Appl Environ Microbiol       Date:  2015-06-26       Impact factor: 4.792

6.  Pharmacodynamics of anti-HIV gene therapy using viral vectors and targeted endonucleases.

Authors:  Pavitra Roychoudhury; Harshana S De Silva Feelixge; Harlan L Pietz; Daniel Stone; Keith R Jerome; Joshua T Schiffer
Journal:  J Antimicrob Chemother       Date:  2016-04-18       Impact factor: 5.790

7.  Analysis of High-Throughput Flow Cytometry Data Using plateCore.

Authors:  Errol Strain; Florian Hahne; Ryan R Brinkman; Perry Haaland
Journal:  Adv Bioinformatics       Date:  2009-10-11

8.  iFlow: A Graphical User Interface for Flow Cytometry Tools in Bioconductor.

Authors:  Kyongryun Lee; Florian Hahne; Deepayan Sarkar; Robert Gentleman
Journal:  Adv Bioinformatics       Date:  2009-11-12

9.  flowClust: a Bioconductor package for automated gating of flow cytometry data.

Authors:  Kenneth Lo; Florian Hahne; Ryan R Brinkman; Raphael Gottardo
Journal:  BMC Bioinformatics       Date:  2009-05-14       Impact factor: 3.169

10.  The curvHDR method for gating flow cytometry samples.

Authors:  Ulrike Naumann; George Luta; Matthew P Wand
Journal:  BMC Bioinformatics       Date:  2010-01-22       Impact factor: 3.169

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