Oxford nanopore sequencing,variant calling,long-read sequencing,base-calling

Evaluation of Differences of Fast and High Accuracy Base Calling Models of Guppy on Variant Calling Using Low Coverage WGS Data

This study examines the impact of Guppy base calling models (fast vs. high accuracy) on variant detection in Oxford Nanopore Technologies data. Findings show that the fast model does not affect SNP accuracy but significantly reduces InDel detection performance...

Deep learning

Object Detection Using Active Learning

This study presents an object detection model enhanced with active learning to reduce labeling costs and data requirements. Experiments showed that by labeling only a smaller, carefully selected subset of data, the model achieved nearly the same performance as...