ParLECH

ParLECH (Parallel Long-read Error Correction using Hybrid methodology) is a software tool designed to correct errors in long-read sequencing data using short-read sequencing data. It addresses the challenges of higher error rates and costs associated with long-read sequencing technologies like PacBio.

Key features and functionality of ParLECH:

1. Hybrid approach: ParLECH utilizes high-throughput Illumina short-read sequences to correct errors in PacBio long-read sequences.

2. Distributed error correction: The error correction algorithm is distributed, allowing for efficient processing of large-scale datasets.

3. De Bruijn graph construction: ParLECH builds a de Bruijn graph from the short reads, which is then used to correct indel errors in the long reads by replacing error regions with the graph's widest or maximum min-coverage path.

4. K-mer coverage-based correction: The tool uses k-mer coverage information from the short reads to split long reads into low and high-coverage regions. It then performs majority voting to correct substitution errors in each base.

5. Scalability: ParLECH can handle terabytes of sequencing data using hundreds of computing nodes, making it suitable for large-scale datasets.