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CITATION
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127 lines (127 loc) · 6.43 KB
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cff-version: 1.0.3
message: If you use OMEGA, please cite both the software and the papers as indicated in the scope of each reference.
authors:
- family-names: Rigano
given-names: Alessandro
affiliation: University of Massachusetts Medical School
email: alessandro.rigano@umassmed.edu
- family-names: Galli
given-names: Vanni
affiliation: Scuola Universitaria Superiore della Svizzera Italiana (SUPSI)
email: vanni.galli@supsi.ch
- family-names: Strambio-De-Castillia
given-names: Caterina
affiliation: University of Massachusetts Medical School
email: caterina.strambio@umassmed.edu
orcid: https://orcid.org/0000-0002-1069-1816
title: Open Microscopy Environment inteGrated Analysis (OMEGA)
version: v0.45.3-beta
doi: 10.5281/zenodo.2535523
date-released: 2019-01-08
repository: https://github.com/OmegaProject/Omega
description: OMEGA is a cross-platform data management, analysis and visualization system, for particle tracking data with particular emphasis on results from viral and vesicular trafficking experiments. OMEGA provides easy to use graphical interfaces to implement integrated particle tracking and motion analysis workflows while keeping track of error propagation and data provenance. Specifically, OMEGA: 1) imports image data and metadata from data management tools such as Open Microscopy Environment Remote Objects (OMERO; Allan et al., 2012); 2) tracks intracellular particles moving across time series of image planes; 3) facilitates parameter optimization and trajectory results inspection and validation; 4) performs downstream trajectory analysis and motion type classification; 5) estimates the uncertainty associated with motion analysis; and, 6) stores and facilitates dissemination of analysis results and analysis definition metadata on the basis of our newly proposed Minimum Information About Particle Tracking Experiments (MIAPTE; Rigano & Strambio-De-Castillia, 2016; 2017) guidelines in combination with the OME-XML data model (Goldberg et al, 2005).
keywords:
- java
- cell-biology
- particle-tracking
- particle-localization
- particle-detection
- motion-analysis
- error-propagation
- data-provenance
- data-management
- classification
- trajectory-segmentation
license: GNU General Public License v.3
references:
- type: article
scope: Cite this paper every time you use the software
authors:
- family-names: Rigano
given-names: Alessandro
affiliation: University of Massachusetts Medical School
email: alessandro.rigano@umassmed.edu
- family-names: Galli
given-names: Vanni
affiliation: Scuola Universitaria Superiore della Svizzera Italiana (SUPSI)
- family-names: Clark
given-names: Jasmine M
affiliation: Nell Hodgson Woodruff School of Nursing, Emory University
- family-names: Pereira
given-names: Lara E
affiliation: Division of Sexual Transmitted Diseases Prevention, Centers for Disease Control and Prevention
- family-names: Grossi
given-names: Loris
affiliation: Scuola Universitaria Superiore della Svizzera Italiana (SUPSI)
- family-names: Luban
given-names: Jeremy
affiliation: University of Massachusetts Medical School
orcid: https://orcid.org/0000-0001-5650-4054
- family-names: Giulietti
given-names: Raffaello
affiliation: Scuola Universitaria Superiore della Svizzera Italiana (SUPSI)
- family-names: Leidi
given-names: Tiziano
affiliation: Scuola Universitaria Superiore della Svizzera Italiana (SUPSI)
- family-names: Hunter
given-names: Eric
affiliation: Emory Vaccine Center at Yerkes National Primate Research Center
- family-names: Valle
given-names: Mario
affiliation: Swiss National Supercomputing Centre
- family-names: Sbalzarini
given-names: Ivo F.
affiliation: Max Planck Institute of Molecular Cell Biology and Genetics in Dresden
- family-names: Strambio-De-Castillia
given-names: Caterina
affiliation: University of Massachusetts Medical School
email: caterina.strambio@umassmed.edu
orcid: https://orcid.org/0000-0002-1069-1816
title: "OMEGA: a software tool for the management, analysis, and dissemination of intracellular trafficking data that incorporates motion type classification and quality control"
year: 2018
journal: bioRxiv.org
doi: 10.1101/251850
url: https://doi.org/10.1101/251850
- type: article
scope: Cite this paper every time you discuss or utilize the data provenance aspects of the sofware
authors:
- family-names: Rigano
given-names: Alessandro
affiliation: University of Massachusetts Medical School
email: alessandro.rigano@umassmed.edu
- family-names: Strambio-De-Castillia
given-names: Caterina
affiliation: University of Massachusetts Medical School
email: caterina.strambio@umassmed.edu
orcid: https://orcid.org/0000-0002-1069-1816
title: "Proposal for minimum information guidelines to report and reproduce results of particle tracking and motion analysis"
year: 2017
journal: bioRxiv.org
doi: 10.1101/155036
url: https://doi.org/10.1101/155036
- type: article
scope: Cite this paper every time you discuss or utilize the error propagation aspects of the sofware
authors:
- family-names: Rigano
given-names: Alessandro
affiliation: University of Massachusetts Medical School
email: alessandro.rigano@umassmed.edu
- family-names: Galli
given-names: Vanni
affiliation: Scuola Universitaria Superiore della Svizzera Italiana (SUPSI)
- family-names: Gonciarz
given-names: Krzysztof
affiliation: Max Planck Institute of Molecular Cell Biology and Genetics in Dresden
- family-names: Sbalzarini
given-names: Ivo F.
affiliation: Max Planck Institute of Molecular Cell Biology and Genetics in Dresden
- family-names: Strambio-De-Castillia
given-names: Caterina
affiliation: University of Massachusetts Medical School
email: caterina.strambio@umassmed.edu
orcid: https://orcid.org/0000-0002-1069-1816
title: "An algorithm-centric Monte Carlo method to empirically quantify motion type estimation uncertainty in single-particle tracking"
year: 2018
journal: bioRxiv.org
doi: 10.1101/379255
url: https://doi.org/10.1101/379255