Fig. 1
From: Red panda: a novel method for detecting variants in single-cell RNA sequencing
A simple schematic of the logic used in Red Panda. For every cell, every expressed isoform is identified with sailfish. All putative variants are then identified in each isoform and split into a homozygous-looking VCF file and a heterozygous VCF file. Then the former is filtered by Red Panda using quality cutoffs while the latter is filtered using Red Panda if the variants are bimodally-distributed or GATK-HC if they are not. These three sets of variants are then combined into a single VCF file