| medaka is a tool to create a consensus sequence from nanopore sequencing data. This task is performed using neural networks applied from a pileup of individual sequencing reads against a draft assembly. It outperforms graph-based methods operating on basecalled data, and can be competitive with state-of-the-art signal-based methods, whilst being much faster. |
hg clone https://toolshed.g2.bx.psu.edu/repos/iuc/medaka_consensus
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| Assembly polishing via neural networks | 1.3.2+galaxy0 | 20.01 | |