A fast and accurate small variant caller optimized for germline and somatic variation analysis.

Strelka2 is a small variant caller designed for analyzing germline and somatic variations in DNA sequencing data. It uses a tiered haplotype model for improved accuracy in germline variant calling, adaptively selecting between assembly and alignment-based haplotyping. For somatic variant calling, Strelka2 accounts for potential tumor cell contamination in normal samples. The tool incorporates a mixture-model indel error estimation method to enhance robustness against indel noise. A final variant re-scoring step, utilizing random forest models trained on call quality features, is applied to improve precision. Strelka2 accepts BAM or CRAM files as input and reports variants in VCF 4.1 format, supporting gVCF conventions for germline variant reporting. Integration with Manta structural variant caller is recommended for optimal somatic indel performance.
Strelka2 is a small variant caller designed for analyzing germline and somatic variations in DNA sequencing data.
Explore all tools that specialize in haplotype-based variant detection. This domain focus ensures Strelka2 delivers optimized results for this specific requirement.
Explore all tools that specialize in tumor-normal variant detection. This domain focus ensures Strelka2 delivers optimized results for this specific requirement.
Explore all tools that specialize in random forest re-scoring. This domain focus ensures Strelka2 delivers optimized results for this specific requirement.
Improves germline variant calling accuracy by adaptively selecting between assembly and alignment-based haplotyping at each variant locus.
Enhances robustness to indel noise by analyzing input sequencing data using a mixture-model.
Accounts for possible tumor cell contamination in the normal sample, improving somatic calling model.
Uses random forest models trained on call quality features to further improve precision.
Designed to be run with the Manta structural variant and indel caller to provide additional indel candidates.
Install Strelka2 by downloading the source code from GitHub.
Compile Strelka2 using CMake.
Prepare input BAM or CRAM files containing aligned sequencing reads.
Configure Strelka2 run using the configuration file.
Execute Strelka2 with the specified configuration and input files.
Interpret results from the output VCF files using standard bioinformatics tools.
Integrate with Manta for improved somatic indel calling.
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