Hosted by: Kerstin Kleese van Dam

The current analysis pipeline for Nano-DESI Mass Spectral Imaging involves analyzing the data coming off the instrument using an in-house tool called MSI QuickView and saving the results onto a storage drive before moving on to the next experiment. While this works well for single datasets, there is a demand for more scalable, flexible workflows that are re-executable across datasets, support extensive querying and ease collaboration. His talk will focus on a workflow that moves data analysis from a mere desktop application for single experiments to a more general capability that can be possibly extended to perform multi-modal analysis across datasets. The core components of the workflow include (1) MSI QuickView, a desktop application for the near-real time visualization and analysis of mass spectrometry data; (2) Provenance Environment (ProvEn), a provenance production and collection framework that provides components supporting the production and collection of provenance information for distributed application environments; (3) Elasticsearch, a readily-scalable, broadly-distributable, enterprise-grade search engine that is accessible through an elaborate and extensive API to power extremely fast indexing and searches that support your data discovery applications; (4) Logstash, processing of log files; and (5) Kibana, a platform to visualize, analyze and explore data from multiple sources including Elasticsearch and Logstash.