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Difference between revisions of "MitoFit-KMP"

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{{MitoFit page name}}
{{Oroboros highlights page name}}
:::: <big><big>The project MitoFit highlights the benefits of mitochondrial fitness.</big></big>
:::: <big><big>The project MitoFit highlights the benefits of mitochondrial fitness.</big></big>
<br />


[[File:MitoFit Work packages.jpg|right|400px|link=K-Regio MitoFit#Workpackages|MitoFit Workpackages]]
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[[Image:MitoFit-O2k.jpg|right|150px|link=http://www.mitofit.org/index.php/MitoFit-O2k|MitoFit-O2k]]
<big><big><big>'''WP2'''</big></big></big>
<big>'''MitoFit-Knowledge Management Platform'''</big>
:::: <big><big><big>'''MitoFit-Knowledge Management Platform'''</big></big></big>


:::'''Abstract'''
__TOC__
:::: Our goal is to establish an integration and analysis environment for measurements of mitochondrial respiration (O2k-technology) with external data (cell physiology, anthropometry, spiroergometry, lifestyle, genomics) in the context of fitness evaluation and clinical diagnostics. Within the scope of the MitoFit project, a Knowledge Management Platform (MitoFit-KMP) will be established. This KMP will accomplish the integration of all relevant data and provide a presentation platform for mitochondrial functional diagnostics. The MitoFit-KMP will include: a data management system for the current and planned instruments (MitoFit-DMS), and adata base (MitoFit-DB) comprising proprietary and publicly available data that allow researchers to query experimental data and perform integrative analyses. Closely linked to WP1, a strategy will be developed on the transition of the DatLab software from a continuously updated and extended research tool to a component of the O2k as a medical device.
 
 
== Abstract ==
 
:::: Our goal is to establish an integration and analysis environment for measurements of mitochondrial respiration (O2k-technology) with external data (cell physiology, anthropometry, spiroergometry, lifestyle, genomics) in the context of fitness evaluation and clinical diagnostics. Within the scope of the MitoFit project, a Knowledge Management Platform (MitoFit-KMP) will be established. This KMP will accomplish the integration of all relevant data and provide a presentation platform for mitochondrial functional diagnostics. The MitoFit-KMP will include: a data management system for the current and planned instruments (MitoFit-DMS), and a database (MitoFit-DB) comprising proprietary and publicly available data that allow researchers to query experimental data and perform integrative analyses. Closely linked to WP1, a strategy will be developed on the transition of the DatLab software from a continuously updated and extended research tool to a component of the O2k as a medical device.


<gallery mode=packed widths="1000px" heights="300px">File:MitoFit-Knowledge Management Platform.jpg |MitoFit-Knowledge Management Platform (KMP) with integrated MitoFit-Data Management System (DMS) and MitoFit-Data Bank (DB), which can be populated by external data related to the sample for respirometric measurement. The MitoFit-KMP will be an integral part of the O2k-technology, for data analysis tightly coupled to DatLab (the real-time software for the O2k), designed to export data into a MitoEAGLE Databank (Open Access, outside of the scope of the K-Regio project MitoFit).</gallery>
<gallery mode=packed widths="1000px" heights="300px">File:MitoFit-Knowledge Management Platform.jpg |MitoFit-Knowledge Management Platform (KMP) with integrated MitoFit-Data Management System (DMS) and MitoFit-Data Bank (DB), which can be populated by external data related to the sample for respirometric measurement. The MitoFit-KMP will be an integral part of the O2k-technology, for data analysis tightly coupled to DatLab (the real-time software for the O2k), designed to export data into a MitoEAGLE Databank (Open Access, outside of the scope of the K-Regio project MitoFit).</gallery>




::: '''Links'''
== Progress and next steps ==
 
::::* 2016 Jan - 2017 Jan: Christina Plattner, Dipl.-Ing. (Bioinformatics, Medical University Innsbruck)
::::» [[Gnaiger 2016 Abstract EBEC Riva del Garda 2016]]: MitoFit and MitoEAGLE – towards a global data bank on mitochondrial physiology.
::::» [[Garcia-Roves 2016a Abstract MitoFit Science Camp 2016]]: Design and implementation of systems biology approaches to integrate heterogenic data in biomedical research.
 
 
== Links and references ==
 
::::»  [[MitoEAGLE|COST MitoEAGLE project]]


::::  [http://bioblast.at/index.php/MITOEAGLE COST MITOEAGLE project]
::::« [[K-Regio MitoFit#Workpackages|Back to overview]]

Latest revision as of 13:27, 3 April 2022

Bioblast 2022



MitoFit-KMP

The project MitoFit highlights the benefits of mitochondrial fitness.


MitoFit Workpackages


WP2

MitoFit-Knowledge Management Platform


Abstract

Our goal is to establish an integration and analysis environment for measurements of mitochondrial respiration (O2k-technology) with external data (cell physiology, anthropometry, spiroergometry, lifestyle, genomics) in the context of fitness evaluation and clinical diagnostics. Within the scope of the MitoFit project, a Knowledge Management Platform (MitoFit-KMP) will be established. This KMP will accomplish the integration of all relevant data and provide a presentation platform for mitochondrial functional diagnostics. The MitoFit-KMP will include: a data management system for the current and planned instruments (MitoFit-DMS), and a database (MitoFit-DB) comprising proprietary and publicly available data that allow researchers to query experimental data and perform integrative analyses. Closely linked to WP1, a strategy will be developed on the transition of the DatLab software from a continuously updated and extended research tool to a component of the O2k as a medical device.


Progress and next steps

  • 2016 Jan - 2017 Jan: Christina Plattner, Dipl.-Ing. (Bioinformatics, Medical University Innsbruck)
» Gnaiger 2016 Abstract EBEC Riva del Garda 2016: MitoFit and MitoEAGLE – towards a global data bank on mitochondrial physiology.
» Garcia-Roves 2016a Abstract MitoFit Science Camp 2016: Design and implementation of systems biology approaches to integrate heterogenic data in biomedical research.


Links and references

» COST MitoEAGLE project
«  Back to overview