A comprehensive evaluation of long read error correction methods.

ABSTRACT:

Background

Third-generation single molecule sequencing technologies can sequence long reads, which is advancing the frontiers of genomics research. However, their high error rates prohibit accurate and efficient downstream analysis. This difficulty has motivated the development of many long read error correction tools, which tackle this problem through sampling redundancy and/or leveraging accurate short reads of the same biological samples. Existing studies to asses these tools use simulated data sets, and are not sufficiently comprehensive in the range of software covered or diversity of evaluation measures used.

Results

In this paper, we present a categorization and review of long read error correction methods, and provide a comprehensive evaluation of the corresponding l

SUBMITTER: Zhang H 

PROVIDER: S-EPMC7751105 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature