Cell Ranger3.1, printed on 09/21/2020
Starting from Cell Ranger 3.0, all Feature Barcode counts, including Antibody Capture counts, simply become new features in addition to the standard per-gene features, and are output alongside gene counts in the feature-barcode matrix. For every row in the Feature Barcoding Reference CSV file where
feature_type is specified as
Antibody Capture, there will be a corresponding row in the feature-barcode matrix. That row will get its title from the
id field in the Feature Reference file for that feature, and the counts can be visualized via Loupe Browser by searching for the human-readable name from the
name field of the Feature Reference file (for antibody applications, the
name fields can typically be the same as long as the
id is unique).
We run t-distributed Stochastic Neighbor Embedding (t-SNE) on raw antibody counts (i.e., without prior PCA) to visualize cells in a 2-D space. This is in contrast to the gene-barcode side of the matrix, where t-SNE is run on the PCA-reduced space. For more details, see the "t-SNE" in Antibody Algorithms section.
$ head -5 analysis/tsne/antibody_capture_2_components/projection.csv Barcode,TSNE-1,TSNE-2 AAACCCAAGTGGTCAG-1,-29.97926190939189,-3.5125258285933603 AAAGGTATCAACTACG-1,20.762905594110116,-6.946344013493825 AAAGTCCAGCGTGTCC-1,11.156075443007484,-5.489821984514518 AACACACTCAAGAGTA-1,-26.08126312702518,-5.167458628104057
Summary metrics for the antibody counts will be displayed on web summary under
Antibody Sequencing and
Antibody Application tabs. Any specific antibody analysis steps are described in the Antibody Algorithms section.