DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific
Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.
From pip package
pip install deepconsensus==0.1.0
You can ignore errors regarding google-nucleus installation, such as
ERROR: Failed building wheel for google-nucleus.
git clone https://github.com/google/deepconsensus.git cd deepconsensus source install.sh
source install.sh, if you want to run all unit tests, you can
See the quick start.
Where does DeepConsensus fit into my pipeline?
After a PacBio sequencing run, DeepConsensus is meant to be run on the CCS reads
and subreads to create new corrected reads in FASTQ format that can take the
place of the CCS reads for downstream analyses.
See the quick start for an example of inputs and outputs.
NOTE: This initial release of DeepConsensus (v0.1) is not yet optimized for
speed, and only runs on CPUs. We anticipate this version to be too slow for many
uses. We are now prioritizing speed improvements, which we anticipate can
achieve acceptable runtimes.