PT  - JOURNAL ARTICLE
AU  - Jonathan R. Belyeu
AU  - Thomas J. Nicholas
AU  - Brent S. Pedersen
AU  - Thomas A. Sasani
AU  - James M. Havrilla
AU  - Stephanie N. Kravitz
AU  - Megan E. Conway
AU  - Brian K. Lohman
AU  - Aaron R. Quinlan
AU  - Ryan M. Layer
TI  - SV-plaudit: A cloud-based framework for manually curating thousands of structural variants
AID  - 10.1101/265058
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 265058
4099  - http://biorxiv.org/content/early/2018/02/14/265058.short
4100  - http://biorxiv.org/content/early/2018/02/14/265058.full
AB  - SV-plaudit is a framework for rapidly curating structural variant (SVs) predictions. For each SV, we generate an image that visualizes the coverage and alignment signals from a set of samples. Images are uploaded to our cloud framework where users assess the quality of each image using a client-side web application. Reports can then be generated as a tab-delimited file or annotated VCF. As a proof of principle, nine researchers collaborated for one hour to evaluate 1,350 SVs each. We anticipate that SV-plaudit will become a standard step in variant calling pipelines and the crowd-sourced curation of other biological results.Code available at https://github.com/jbelyeu/SV-plauditDemonstration video available at https://www.youtube.com/watch?v=ono8kHMKxDs