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(depricated)DeepVariant: Deep Learning-based Variant Caller

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Step 1: Upload your data

Select Aligned Read File

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  • Your file can be in the following formats:bam
    • Standard BAM file.
or
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Use our demo data to run
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Select Aligned Read Index File

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  • Your file can be in the following formats:bai
    • Standard BAI index file.
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Use our demo data to run
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Step 2: Set Parameters
ENSEMBL | GRCh37
WES
Step 3: Complete run profile

DeepVariant (v1.5) is a deep learning-based variant caller that analyzes and identifies variants associated with a specific trait, disease, or population.

Example use case: Disease research and precision medicine

Technology: Convolutional neural network

Metrics: As reported by the Genomics team in Google Health, "DeepVariant maintains high accuracy across data from different sequencing technologies, prep methods, and species."

Citation:
Poplin, R., Chang, PC., Alexander, D. et al. A universal SNP and small-indel variant caller using deep neural networks. Nat Biotechnol 36, 983–987 (2018). https://doi.org/10.1038/nbt.4235
Released:
Jun-27-2022
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