Full description
Flow cytometry has become a crucial part of modern biochemistry, immunology and regenerative medicine research. Routine analysis using flow cytometry, is forming the basis of large numbers of experiments and flow cytometry technologies allow the capture of large data sets. Due to the wide variety of users from Monash University, CSIRO and Industry, the storage, analysis, handling and accessibility of such data has posed significant challenges to the research community. At present the responsibility of requesting and maintaining data falls to individual researchers and/or research groups. We propose that a centrally managed and integrated data collection with common data handling solutions is required to (i) facilitate discovery and analysis of the data (ii) facilitate sharing of data with collaborators and after-review with the wider research community, (iii) mitigate the risk of data loss and (iv) provide a framework for enhancing data accessibility and development of future data analysis platforms.This Collection will make cytometry data from research grants totalling $59M accessible to researchers and provide a mechanism to make published data available for reFuse.
Manager: Mr. Andrew Fryga.
Significance Statement
This Store comprises an array of multiparametric data about the size, shape and proteins associated with their cells or particles of interest. Because flow cytometry is a powerful tool in many fields including immunology, stem cell science, cancer research, aquatic biology and plant biology, there is high utilisation by leading researchers in these fields from Monash University, CSIRO and Industry.
The data within this collection is of high quality and has been acquired using state-of-the-art equipment and techniques provided by Monash University core facility, FlowCore. It also forms an important part of wider research programs that are supported by over $59 million in research funding (201252017) across multiple disciplines, including Biochemistry, Molecular Biology, Developmental Biology, Physiology, Microbiology and Medicine.
The extraction and interpretation of biologically meaningful information from this data requires various forms of processing and analysis, and requires a listmode data file, which is a unique data file for flow cytometry meeting international standard FCS 3.0. Recent increases in dataset size have put significant strain on current infrastructure for managing, handling and sharing data. This limits the use and development of tools and systems for advanced data analysis. The proposed collection will provide a foundation for fostering collaboration and development of tools for analysing data in the future.
The availability of a centrally managed and integrated data storage and handling solution, such as the one proposed herein, will provide a platform for the development and integration of other data analysis tools.
Created: 2014
Data time period: 2014
Spatial Coverage And Location
iso3166: AU
Subjects
Biochemistry and Cell Biology |
Biological Sciences |
Biomedical Engineering |
Clinical Sciences |
Engineering |
Immunology |
Medical and Health Sciences |
Medical Biochemistry and Metabolomics |
Medical Biotechnology |
Medical Microbiology |
Medical Physiology |
MyTardis |
Pharmacology and Pharmaceutical Sciences |
Physiology |
Technology |
immunology |
medical physiology |
microbiology |
pharmaceutical sciences |
pharmacology |
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Identifiers
- Handle : 1959.1/1176273
