SomVarIUS

SomVarIUS detects somatic variants from high-throughput sequencing data of unpaired tissue samples to enable somatic variant identification when matched normal samples are unavailable.

Key Features:

• Unpaired Sample Analysis: Identifies somatic variants without requiring paired tumor-normal samples, enabling analysis of archival or clinical samples where matched normals are impractical.
• Performance Metrics: Demonstrates approximately 67.7% precision and 64.6% recall when evaluated against somatic variant calls from paired tissue samples using exome sequencing at ~150× coverage.
• Formalin-Fixed Sample Compatibility: Applied to detect somatic mutations in formalin-fixed samples.
• Clonal Dynamics Tracking: Tracks clonal dynamics of oncogenic mutations using targeted deep sequencing data from pre- and post-treatment leukemia samples.
• Evaluation Datasets: Evaluated using both synthetic and real tumor sample datasets.
• Implementation: Implemented in Python 2.7.

Scientific Applications:

• Clinical Research: Enables somatic variant analysis of archival or difficult-to-obtain tissue samples in studies lacking matched normal samples.
• Oncology Studies: Supports detection of somatic mutations and investigation of tumor progression and treatment response.
• Leukemia Clonal Dynamics: Facilitates tracking of clonal dynamics in leukemia using targeted deep sequencing of pre- and post-treatment samples.

Methodology:

SomVarIUS leverages high-throughput sequencing data to identify somatic variants from unpaired tissue samples and was evaluated against paired-sample somatic calls using exome sequencing (~150×) as well as on synthetic and real tumor datasets; it also analyzes targeted deep sequencing from pre- and post-treatment leukemia samples to track clonal dynamics.