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Attribute
Genomics & Sequence Modeling

DeepConsensus

Google Health & PacBio
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CategoryGenomics & Sequence Modeling
CompanyGoogle Health & PacBio
PriceFree Open Source
StatusStatus not confirmed
AvailabilityAvailable on GitHub and Bioconda
Last checked20/09/2026
FeaturesDeep learning consensus calling across subreads to correct systematic sequencing errors, Increases the yield of Q30 (>99.9% accurate) and Q40 (>99.99% accurate) HiFi reads by up to 40%, Integrated into standard PacBio SMRT Link secondary analysis pipelines, Optimized with GPU acceleration for high-throughput sequencing facilities
Entry typeSoftware Tool
Access modeOpen Source
AI roleSignal & Sequence Error Correction
Input dataNot recorded
Output dataNot recorded
Licence conditionsBSD-3-Clause
Commercial eligibilityOpen source release
Compute requirementsMulti-core CPU or NVIDIA GPU (CUDA)
ValidationNot recorded
TypeNeural sequencing consensus caller
Intended useNot recorded
CompatibilityNot recorded
ManufacturerGoogle LLC & PacBio
Biological applicationDe novo genome assembly, structural variant discovery, and pangenomics
Research workflowRaw PacBio subreads -> DeepConsensus inference -> high-accuracy HiFi BAM/FASTQ
Evidence levelPeer-reviewed publication (Nature Biotechnology 2022)
Integration evidencehttps://github.com/google/deepconsensus
Laboratory handoffGenerates ready-to-assemble reads for clinical and population genomics