Please join us for a
NCI Containers and Workflows Interest Group Seminar
Fast Development and Robust Deployment of Data Driven Bioinformatics Web Apps
and Workflows
By
Avi Ma'ayan, Director of the Mount Sinai Center for Bioinformatics
Daniel Clarke, Senior Data Scientist
and
Nicole Moiseyev, Summer Scholar
Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics,
Icahn School of Medicine at Mount Sinai, New York, NY
Friday, Sept 11th, 2020
3:00 PM – 4:00 PM EDT
Abstract:
In this presentation we will discuss how we are transitioning from hosting the
web-based bioinformatics applications we develop from a Mesos-Marathon cluster
environment to a Rancher/Kubernetes environment. We are also moving away from
hosting full stack web-based bioinformatics applications such as Enrichr,
Harmonizome, BioJupies and ARCHS4 towards developing appyters. Appyters turn
Jupyter notebooks into fully functional standalone web applications. They
extend the concepts developed for BioJupies to many other applications.
Appyters present to users a data entry form that enables them to upload their
data and set various parameters for a multitude of bioinformatics analysis
pipelines. Once the form is filled, the Appyter executes the corresponding
notebook online, saving the output without having to interact directly with the
code. Appyters can be applied to a variety of workflows including building
customized machine learning pipelines, analyzing RNA-seq data, and producing
publishable figures. Appyters enable the rapid development of web-based
applications as demonstrated by the breadth of over 50 examples.
JOIN WEBEX MEETING
https://cbiit.webex.com/cbiit/j.php?MTID=ma3f0d94985bbd365d114c5a469359aca
Meeting number (access code): 731 927 985
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Abstracts, Slides and Recordings from past meetings can be found here:
https://ncihub.org/groups/itcr/cwig
For questions and subscription, please contact , Durga
Addepalli<mailto:[email protected]>
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