google / deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Why this job: works in the areas we cover, but does not say which job it does
What it does
DeepVariant is a deep learning-based variant caller that takes aligned reads (in BAM or CRAM format), produces pileup image tensors from them, classifies each tensor using a convolutional neural network, and finally reports the results in a standard VCF or gVCF file.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 3,829
- +3 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.10.0
- Released 8 months ago
- Built with
- Python
- 55% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 45 merged
- 4 waiting
- Releases
- 25
- 1 in the last year
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More: languages, topics and project record
Languages
- Python 55%
- C++ 36%
- Shell 6%
- Starlark 3%
Topics
- tensorflow
- deep-neural-network
- genomics
- science
- dna
- sequencing
- genome
- bioinformatics
- deep-learning
- ngs
- deepvariant
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits3,378
- Forks809
- Watching156
- Stars in 28 days+12
- CreatedNov 23, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
