Literature DB >> 30110138

flowIO: Flow cytometry standard conformance testing, editing, and export tool.

Miroslav Koblížek1,2, Anastasia Lebedeva1, Karel Fišer1.   

Abstract

The Flow Cytometry Standard (FCS) format is a widely accepted norm for storing Flow Cytometry (FCM) data. Its goal as a standard is to allow FCM data sharing and re-analysis. Over more than three decades of its existence FCS has evolved into a well-defined, flexible file format reflecting technical changes in the FCM field. Its flexibility as well as rising numbers of instrument vendors leads to suboptimal implementations of FCS in some cases. Such situations compromise the primary goal of the standard and hinder the ability to reproduce FCM analyses. It is further underlined by rapid rise of advanced FCM analyses, often carried out outside traditional software tools and heavily relying on standard data storage and presentation. We have developed flowIO, an R package which tests FCS file conformance with the standard as defined by International Society for Advancement of Cytometry (ISAC) normative. Along with the package we provide a web based application (also at http://bioinformin.cesnet.cz/flowIO/) allowing user friendly access to the conformance testing as well as FCS file editing and export for further analysis.
© 2018 International Society for Advancement of Cytometry.

Keywords:  FCS; bioinformatics; data standard; file format; flow cytometry; reproducibility in science

Mesh:

Year:  2018        PMID: 30110138     DOI: 10.1002/cyto.a.23563

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  6 in total

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Journal:  Cell Death Dis       Date:  2019-03-15       Impact factor: 8.469

2.  The LncRNA XIRP2-AS1 predicts favorable prognosis in colon cancer.

Authors:  Fengru Zhou; Feng Shen; Zhuojun Zheng; Jincheng Ruan
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3.  Robust FCS Parsing: Exploring 211,359 Public Files.

Authors:  Anne E Bras; Vincent H J van der Velden
Journal:  Cytometry A       Date:  2020-07-15       Impact factor: 4.355

4.  CytoTree: an R/Bioconductor package for analysis and visualization of flow and mass cytometry data.

Authors:  Yuting Dai; Aining Xu; Jianfeng Li; Liang Wu; Shanhe Yu; Jun Chen; Weili Zhao; Xiao-Jian Sun; Jinyan Huang
Journal:  BMC Bioinformatics       Date:  2021-03-22       Impact factor: 3.169

5.  LncRNA IGBP1-AS1/miR-24-1/ZIC3 loop regulates the proliferation and invasion ability in breast cancer.

Authors:  Deqin Chen; Yangfan Fan; Fang Wan
Journal:  Cancer Cell Int       Date:  2020-05-07       Impact factor: 5.722

6.  lncRNA SLC16A1-AS1 as a novel prognostic biomarker in non-small cell lung cancer.

Authors:  Hong Yue Liu; Sheng Rong Lu; Zi Han Guo; Zhi Sheng Zhang; Xuan Ye; Qiong Du; Huan Li; Qiang Wu; Bo Yu; Qing Zhai; Jin Long Liu
Journal:  J Investig Med       Date:  2019-07-31       Impact factor: 2.895

  6 in total

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