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DeepConsensus

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DeepConsensus (v1.2) uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data. This results in greater yield of high-quality reads.

Example use case: Correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

Technology: Gap-aware sequence transformers

Limitation: This is not an official Google product. The content of this research code repository (i) is not intended to be a medical device; and (ii) is not intended for clinical use of any kind, including but not limited to diagnosis or prognosis.

Metrics: Some of the metrics related to work can be found here

Citation:
Baid, G., Cook, D.E., Shafin, K. et al. DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer. Nat Biotechnol 41, 232–238 (2023). https://doi.org/10.1038/s41587-022-01435-7
Released:
Dec-16-2022
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