Publications by authors named "Sujana Ganaparti"
BMC Med Genomics
December 2021
Article Synopsis
- Multi-sample comparison is essential in cancer genomics to determine mutation statuses, but low coverage can lead to false negatives, making it necessary to classify uncertain results as "unknown" instead of "negative."
- The study proposes an adaptive mutation-specific negative (MSN) method, which assesses the frequency of mutant reads by comparing non-positive samples to known positives, ensuring accurate classification of mutation statuses.
- The results show that the MSN method outperforms the traditional universal minimum coverage (UMC) approach in both simulated and real datasets, leading to more accurate negative status assignments and increased data availability.
