MEGAN-LR: new algorithms allow accurate binning and easy interactive exploration of metagenomic long reads and contigs
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Discussion
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Implication
Computational study demonstrates accurate binning of metagenomic long reads using MEGAN-LR, indicating an efficient pipeline for complex microbiome exploration.
Key Points
- To extend the metagenomic analysis software MEGAN to support the binning and interactive exploration of long reads and assembled contigs.
- Developed algorithmic updates within the MEGAN framework to create MEGAN-LR.
- Integrated MEGAN-LR with the LAST sequence alignment software to establish an end-to-end analytical pipeline.
- Demonstrated that the LAST+MEGAN-LR pipeline provides sufficiently fast processing times for long-read data.
- Showed that the combined pipeline enables accurate taxonomic binning and interactive analysis of metagenomic long reads and contigs.
Cite This Study
Huson et al. (2018) studied this question.