SV-plaudit

SV-plaudit generates visualizations of structural variant (SV) predictions and enables cloud-based curation to support validation and refinement of SV calls.


Key Features:

  • Image Generation: Produces detailed images visualizing coverage and alignment signals from multiple samples for each predicted SV, representing the relevant genomic intervals.
  • Cloud Integration: Automatically uploads generated images to a cloud framework for centralized storage and access.
  • Data Compatibility: Accepts BAM and CRAM alignment files from Illumina paired-end sequencing, long-read sequencing from PacBio and Oxford Nanopore Technologies, and 10X Genomics linked-read data for image generation.
  • Output Reports: Exports curation results as tab-delimited files and as annotated Variant Call Format (VCF) files.

Scientific Applications:

  • Structural variant validation: Supports manual curation to improve the precision of SV calls from computational callers.
  • High-throughput curation: Enables rapid review of large SV sets to facilitate scalable analyses in cohort and consortium studies.
  • Genomic variation and disease studies: Aids investigation of SV contributions to genetic diversity and disease mechanisms by providing curated SV evidence.

Methodology:

Generates images from sequence alignments (BAM/CRAM, PacBio, Oxford Nanopore, 10X Genomics), uploads images to a cloud backend, and produces tab-delimited and annotated VCF outputs reflecting curation results.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
Shell, Python
Added:
1/20/2021
Last Updated:
5/20/2021

Operations

Publications

Belyeu JR, Nicholas TJ, Pedersen BS, Sasani TA, Havrilla JM, Kravitz SN, Conway ME, Lohman BK, Quinlan AR, Layer RM. SV-plaudit: A cloud-based framework for manually curating thousands of structural variants. GigaScience. 2018;7(7). doi:10.1093/gigascience/giy064. PMID:29860504. PMCID:PMC6030999.

PMID: 29860504
PMCID: PMC6030999
Funding: - US National Human Genome Research Institute: K99HG009532, R01GM124355, R01HG006693 - US National Cancer Institute: U24CA209999

Links