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Run Scanner: a tool for monitoring sequencer runs and accessing run information

Authors :
Taschuk, Morgan
Armstrong, Heather
Cooke, Dillan
Lazic, Savo
Masella, Andre
Varsava, Alexis
Publication Year :
2019
Publisher :
figshare, 2019.

Abstract

As sequencing runs become faster and instruments can be run more frequently, data analysis can similarly be made more efficient by automating run monitoring. We have developed an application called Run Scanner to monitor sequencer run output directories and process run metadata (information about the run that excludes sequence data) from Illumina, PacBio, and Oxford Nanopore instruments. The run metadata is presented on a web server in both user-readable and machine-readable ways. Basic run metadata is presented in a standardized way for all modern sequencing platforms. Additional per-cycle metrics, which complement Illumina’s BaseSpace tools, are added to Illumina runs for all instruments from the HiSeq 2000 to the NovaSeq 6000. In addition to being accessible to users, Run Scanner data can also be queried by a variety of software consumers. The Run Scanner’s data can enhance lab workflows by updating information in a LIMS; can be sent to an ETL data integration to be queried for reports; and can provide valuable information to automated bioinformatics pipelines. Run Scanner has decreased our lab’s workload, increased our reporting capabilities, and dramatically decreased our time from run completion to analysis initiation. It is open source and freely available online: https://github.com/miso-lims/runscanner

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....37274c0d89986faba7af5b6db73dad7b
Full Text :
https://doi.org/10.6084/m9.figshare.8994152.v1