| FLOCK (FLOw Clustering without K) is a computational approach to flow cytometry analysis which: 1. Computationally determines the number of unique populations in high dimensional flow data using a rapid binning approach 2. Can handle non-spherical hyper-shapes 3. Maps populations across independent samples 4. Calculates many useful summary statistics 5. Finds the most informative parameters 6. Reduces subjective factors in manual gating **Input** FLOCK requires a text file, generated from a FCS file, as input. In order to define the populations in a given dataset collection for a given set of markers, run FLOCK on a super-set of FCS file. Use the Downsample and merge tool to concatenate and/or downsample datasets, and remove, edit or rearrange markers before running FLOCK on your favorite set of markers. **Output** FLOCK attributes each event to a population and generates a text file. The centroid file is a table containing the mean, median or geometric mean fluorescent intensity values of each marker within each population defined by FLOCK, as determined by the user. The population score output is a table containing marker scores for each population. The score value is a number indicating the degree to which this population expresses each marker, as follows: - 1 implies negative expression - 2 implies low expression - 3 implies positive expression - 4 implies highly positive expression https://www.immportgalaxy.org |
hg clone https://toolshed.g2.bx.psu.edu/repos/immport-devteam/run_flock
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| using a FCS file that was converted/transformed to a text file | 1.2+galaxy0 | 18.01 | |