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A first-of-its-kind data analysis platform is enabling researchers to select the best tool for interpreting the overwhelming amounts of data generated by single-cell research.
Accurately making sense of these datasets will help to explain the vital and varied roles cells play in health and disease. The platform, CellBench, was published today in Nature Methods.
Platform - Software - Gold - Datasets - Performance
The freely accessible platform, which includes software and several gold standard datasets compares the performance of thousands of different single-cell analysis options, enabling researchers to identify the best method for the questions they wish to answer.
The project was led by Associate Professor Matthew Ritchie and Mr Luyi Tian from the Walter and Eliza Hall Institute of Medical Research, along with Dr. Kim-Anh Lê Cao and Mr Al J Abadi at the University of Melbourne.
Trillions - Cells - Body - Quest - Understand
Much is still unknown about the trillions of cells in the human body. In the quest to better understand cells and the role they play in health and disease, a technique called single-cell sequencing has become a hot research field.
Over the past five years there has been an explosion of new analysis tools for interpreting single-cell data. This has left researchers with hundreds of options to choose between in the challenging task of interpreting large and complex biological datasets.
Associate - Professor - Ritchie - Ability - Cell
Associate Professor Ritchie said the ability to identify and define each cell and its activity was invaluable for preventing and treating disease.
"The challenge is that a colossal amount of complex biological data...
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