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titleRCBio: easy and quick HPC pipeline builder & runner

RCBio is a HPC pipeline runner and workflow tool supported by HMS RC consultants. It was first designed for a Neubiology lab and later opened to all O2 users. RCBio helps users to quickly build and run multiple steps data analysis pipeline on a computer cluster. RCBio automatically keeps logs on all job status and use email to notify user. When re-run the same pipeline, RCBio automatically submit failed jobs and ask user if she/he want to re-run the successful jobs. Here is our wiki page about the RCBio project: RC workflows

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titleTroubleshooting O2 jobs

The “Troubleshooting O2 Jobs” class will teach you how to debug problems when running analyses on the O2 High Performance Compute Cluster. We will examine faulty job submissions to give you hands-on problem solving experience. You will learn how to request appropriate resources and set up your environment to successfully execute your jobs.

Prerequisites:

We recommend taking the “Intro to O2” class prior to “Troubleshooting O2 Jobs”.

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titleWhere Should I Put My Data? Understanding Data Storage at HMS

Description:
As research grows increasingly more complex, arrangements for data storage and transmission of research data require continuous review and modification. Data storage encompasses not only the specific location where data will be kept and managed, but also aspects of data privacy, data security, data organization, and eventual sharing or reuse.

During this short training seminar, we will discuss:

  • How to incorporate storage management into your research workflows

  • Where to properly store data based on how the data will be generated and utilized

  • Highlight the available storage options at Harvard Medical School

  • Learn how to protect your data from unauthorized access or data loss

  • Understand how to incorporate your storage selections into your NIH Data Management and Sharing Plans for grants 

Audience:

Primarily focused on HMS related tools and materials. Open to members of the Longwood Medical Area community, including researchers, faculty and staff.

Prerequisites:

None

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