BART (Binding Analysis for Regulation of Transcription) Web Working with researchers in the Zang Lab in the Center for Public Health Genomics (CPHG), SOMRC helped launch BARTweb, an interactive web-based tool for users to analyze their Genelist or ChIP-seq datasets. BARTweb is a containerized Flask front-end (written in Python) that ingests files and submits them to a more robust Python-based genomics pipeline running on Rivanna, UVA’s high performance computing cluster (HPC).
var aText = new Array( “serverless website”, “pipelines”, “containers”, “jobs more efficiently” ); Run your Cloud computing is ideal for running flexible, scalable applications on demand, in periodic bursts, or for fixed periods of time. UVA SOMRC works alongside researchers to design and run research applications and datasets into Amazon Web Services, the leader among public cloud vendors. This means that server, storage, and database needs do not have to be estimated or purchased beforehand – they can be scaled larger and smaller with your needs, or programmed to scale dynamically with your application.
The past few years have seen an explosion of interest in understanding the role of regulatory DNA. This interest has driven large-scale production of functional genomics data resources and analytical methods. One popular analysis is to test for enrichment of overlaps between a query set of genomic regions and a database of region sets. In this way, annotations from external data sources can be easily connected to new genomic data.
Code & Resources SOMRC on GitHub SOMRC Workshop Materials AWS Snippets Cloud Templates Project: epihet Project: simpleCache Containers SOMRC Docker Hub Learn how to use Docker Project: LOLAweb Project: BARTweb Bots & Artificial Intelligence Alexa Skills (in development) Twitter Chatbot (in development) DC/OS Mesos Launching in late 2018, this platform will orchestrate container deployments for both on-demand, short-lived workflows and long-running services.
Some example workloads: