The Downsample platform reduces the number of events in a data matrix by generating a subpopulation containing cells distributed regularly or randomly throughout the selected parent population.

The Downsample feature is available once a population has been selected, from within the Discovery section of SeqGeq’s Analyze tab of the workspace:

Why Downsample?

Downsampling can be used in a number of different scenarios – Commonly researchers will want to reduce the number of events in order to speed up calculations for computationally intensive operations, such as tSNE or the Seurat plugin. Another function provided by this tool is the ability to make uniform (normalized) population sizes for concatenation, comparison and/or control.

Settings

The Downsample platform in SeqGeq contains a number of different settings, depending on your desired output population.

1. Deterministic vs Random – With either take events regularly across the order of events (usually ordered by time of collection), or randomly.
2. Subset Name – Name for the new down sampled population.
3. Number of Events – Either as a threshold number of cells to include, or percent of the parent population.
4. Advanced Options – Allows you to bias your selection of cells from the order within your population, or based on the density of chosen parameters.

Output

The Downsample platform produces a sub-population, including only the number of events specified:

For questions around the use of this or any other feature in SeqGeq we encourage you to write to: seqgeq@flowjo.com