Figure 1 | Scientific Reports

Figure 1

From: HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning

Figure 1The alternative text for this image may have been generated using AI.

Improvement of alignment-based metrics (# fewer unique k-mers, additional aligned long reads, additional aligned bases, additional percent matched bases) for E. coli, S. cerevisiae, and A. funestus with iterative learning. The 0th iteration denotes the original data set and the 1st iteration indicates corrected data set obtained from running HECIL’s core algorithm.

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