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Efficient and accurate pathogenicity prediction for coding and regulatory structural variants in long-read genome sequencing

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SvAnna - Structural Variant Annotation and Analysis

GitHub release Java CI with Maven Documentation Status

Efficient and accurate pathogenicity prediction for coding and regulatory structural variants in long-read genome sequencing.

Most users should download the latest SvAnna distribution ZIP file from the Releases page.

Example use

SvAnna is a standalone command-line Java application and can be run as follows:

java -jar svanna-cli.jar -d path/to/svanna/data \
  -t HP:0008330 \
  --vcf example.vcf.gz \
  --output-format html,csv,vcf

The analysis will filter out common SVs and perform phenotype-driven prioritization of the remaining SVs. The SVs are assigned with "Pathogenicity of Structural variation" (PSV) score and written into one of several output formats, such as CSV table, a VCF file, or a detailed HTML report.

HTML report

The HTML report includes a header with the analysis summary and the SVs ordered by the PSV score with the best scores on top.

Analysis summary

The summary presents the clinical features encoded into terms of Human Phenotype Ontology (HPO) as well as the other analysis parameters.

Analysis summary

Variant counts

The report further breaks down SVs into several categories:

Variant counts

Structural variants

Last, each SV is presented in the context of the overlapping genes and transcripts: Variant transcript summary

We also show the variant in context of the neighboring repetitive regions and genes/transcripts: Variant context

Read more

Please consult the Read the docs site for a detailed documentation:

  • stable version describing the latest release at the Releases page, or
  • latest version summarizing the latest development on development branch.

Check out SvAnna manuscript in Genome Medicine.

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Efficient and accurate pathogenicity prediction for coding and regulatory structural variants in long-read genome sequencing

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