Additional file 2 of BarWare: efficient software tools for barcoded single-cell genomics

Additional file 2: Table S2. Barcode category assignment discrepancies. Counts and count-derived metrics obtained for each of the top two hashes are shown for each cell barcode assigned to the singlet category BarCounter results. but considered a doublet based on CITE-Seq-Count results. Well: Pooled sample well. Barcode: Cell barcode. BarCounter_1st: Counts for the highest-scoring hash based on BarCounter. BarCoutner_2nd: Counts for the second highest-scoring hash based on BarCounter. CITE_1st: Counts for the highest-scoring hash based on CITE-seq-Count. CITE_2nd: Counts for the second highest-scoring hash based on CITE-seq-Count. Change_1st: Difference in counts for the highest-scoring hash (BarCounter_1st—CITE_1st). Change_2nd: Difference in counts for the second highest-scoring hash (BarCounter_2nd—CITE-seq-Count_2nd). Prop_Change_1st: Difference in counts for the highest-scoring hash as a proportion of BarCounter counts (BarCounter_1st—CITE_1st) / BarCounter_1st. Prop_Change_2nd: Difference in counts for the second highest-scoring hash as a proportion of BarCounter counts (BarCounter_2nd—CITE_2nd) / BarCounter_2nd. Ratio_1st:2nd: Ratio of the highest-scoring BarCounter counts to the second high-scoring BarCounter counts (BarCounter_1st / BarCounter_2nd).