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  • The Barbara K. Ostrom (1978) Bioinformatics and Computing Facility
  • Computing Resources
    • Active Data Storage
    • Archive Data Storage
    • Luria Cluster
      • FAQs
    • Other Resources
  • Bioinformatics Topics
    • Tools - A Basic Bioinformatics Toolkit
      • Getting more out of Microsoft Excel
      • Bioinformatics Applications of Unix
        • Unix commands applied to bioinformatics
        • Manipulate NGS files using UNIX commands
        • Manipulate alignment files using UNIX commands
      • Alignments and Mappers
      • Relational databases
        • Running Joins on Galaxy
      • Spotfire
    • Tasks - Bioinformatics Methods
      • UCSC Genome Bioinformatics
        • Interacting with the UCSC Genome Browser
        • Obtaining DNA sequence from the UCSC Database
        • Obtaining genomic data from the UCSC database using table browser queries
        • Filtering table browser queries
        • Performing a BLAT search
        • Creating Custom Tracks
        • UCSC Intersection Queries
        • Viewing cross-species alignments
        • Galaxy
          • Intro to Galaxy
          • Galaxy NGS Illumina QC
          • Galaxy NGS Illumina SE Mapping
          • Galaxy SNP Interval Data
        • Editing and annotation gene structures with Argo
      • GeneGO MetaCore
        • GeneGo Introduction
        • Loading Data Into GeneGO
        • Data Management in GeneGO
        • Setting Thresholds and Background Sets
        • Search And Browse Content Tab
        • Workflows and Reports Tab
        • One-click Analysis Tab
        • Building Network for Your Experimental Data
      • Functional Annotation of Gene Lists
      • Multiple Sequence Alignment
        • Clustalw2
      • Phylogenetic analysis
        • Neighbor Joining method in Phylip
      • Microarray data processing with R/Bioconductor
    • Running Jupyter notebooks on luria cluster nodes
  • Data Management
    • Globus
  • Mini Courses
    • Schedule
      • Previous Teaching
    • Introduction to Unix and KI Computational Resources
      • Basic Unix
        • Why Unix?
        • The Unix Tree
        • The Unix Terminal and Shell
        • Anatomy of a Unix Command
        • Basic Unix Commands
        • Output Redirection and Piping
        • Manual Pages
        • Access Rights
        • Unix Text Editors
          • nano
          • vi / vim
          • emacs
        • Shell Scripts
      • Software Installation
        • Module
        • Conda Environment
      • Slurm
    • Introduction to Unix
      • Why Unix?
      • The Unix Filesystem
        • The Unix Tree
        • Network Filesystems
      • The Unix Shell
        • About the Unix Shell
        • Unix Shell Manual Pages
        • Using the Unix Shell
          • Viewing the Unix Tree
          • Traversing the Unix Tree
          • Editing the Unix Tree
          • Searching the Unix Tree
      • Files
        • Viewing File Contents
        • Creating and Editing Files
        • Manipulating Files
        • Symbolic Links
        • File Ownership
          • How Unix File Ownership Works
          • Change File Ownership and Permissions
        • File Transfer (in-progress)
        • File Storage and Compression
      • Getting System Information
      • Writing Scripts
      • Schedule Scripts Using Crontab
    • Advanced Utilization of IGB Computational Resources
      • High Performance Computing Clusters
      • Slurm
        • Checking the Status of Computing Nodes
        • Submitting Jobs / Slurm Scripts
        • Interactive Sessions
      • Package Management
        • The System Package Manager
        • Environment Modules
        • Conda Environments
      • SSH Port Forwarding
        • SSH Port Forwarding Jupyter Notebooks
      • Containerization
        • Docker
          • Docker Installation
          • Running Docker Images
          • Building Docker Images
        • Singularity
          • Differences from Docker
          • Running Images in Singularity
      • Running Nextflow / nf-core Pipelines
    • Python
      • Introduction to Python for Biologists
        • Interactive Python
        • Types
          • Strings
          • Lists
          • Tuples
          • Dictionaries
        • Control Flow
        • Loops
          • For Loops
          • While Loops
        • Control Flows and Loops
        • Storing Programs for Re-use
        • Reading and Writing Files
        • Functions
      • Biopython
        • About Biopython
        • Quick Start
          • Basic Sequence Analyses
          • SeqRecord
          • Sequence IO
          • Exploration of Entrez Databases
        • Example Projects
          • Coronavirus Exploration
          • Translating a eukaryotic FASTA file of CDS entries
        • Further Resources
      • Machine Learning with Python
        • About Machine Learning
        • Hands-On
          • Project Introduction
          • Supervised Approaches
            • The Logistic Regression Model
            • K-Nearest Neighbors
          • Unsupervised Approaches
            • K-Means Clustering
          • Further Resources
      • Data Processing with Python
        • Pandas
          • About Pandas
          • Making DataFrames
          • Inspecting DataFrames
          • Slicing DataFrames
          • Selecting from DataFrames
          • Editing DataFrames
        • Matplotlib
          • About Matplotlib
          • Basic Plotting
          • Advanced Plotting
        • Seaborn
          • About Seaborn
          • Basic Plotting
          • Visualizing Statistics
          • Visualizing Proteomics Data
          • Visualizing RNAseq Data
    • R
      • Intro to R
        • Before We Start
        • Getting to Know R
        • Variables in R
        • Functions in R
        • Data Manipulation
        • Simple Statistics in R
        • Basic Plotting in R
        • Advanced Plotting in R
        • Writing Figures to a File
        • Further Resources
    • Version Control with Git
      • About Version Control
      • Setting up Git
      • Creating a Repository
      • Tracking Changes
        • Exercises
      • Exploring History
        • Exercises
      • Ignoring Things
      • Remotes in Github
      • Collaborating
      • Conflicts
      • Open Science
      • Licensing
      • Citation
      • Hosting
      • Supplemental
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MIT Resources

  • https://accessibility.mit.edu

Massachusetts Institute of Technology

On this page
  • Registering for a Globus Account
  • Accessing KI Core Collections
  • Transfer Requests
  • Resources

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  1. Data Management

Globus

Globus is a robust data management platform designed to facilitate the secure and efficient transfer of large datasets across institutions and collaborators.

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Last updated 14 days ago

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For a step-by step guide on how to login to Globus and transfer files, please see .

Registering for a Globus Account

In order to make use of the Globus platform, you will need to if you have not done so already. Most users will do so by using their institutional login (e.g., MIT Kerberos) by clicking the 'Log In' button in the top-right hand corner of the . After providing your consent, your new Globus account will be tied to your full name and email address as it appears at your institution.

If you are not affiliated with any of the organizations or research institutions listed, you can create your own unique login Globus login by filling out the . This login will take the form username@globusid.org, and will have its own login credentials associated with it.

Accessing KI Core Collections

If you are a core staff member and are looking for instructions on how to share data with collaborators via Globus, please see STEP 6 in this .

There are several public guest collections available in Globus, through which you will be able to access generated core data:

Once you have created a Globus account, you can reach out to the core responsible for your data to request access to one of these collections, and a link will be shared with you via email after approval.

Until you are provided access, you will not be able to browse the collections via the links above.

Transfer Requests

If you require assistance with moving data to or from an external collaborator and local KI storage, we can help to facilitate that. This is the information that we'll need from you:

  1. The volume (size, number of files) of data being moved.

  2. What is the requested delivery date? This should be at least two weeks in advance in order to accommodate for network and filesystem performance.

Incoming Transfers

  1. Where does the incoming data need to go (e.g., /net/bmc-lab2/...)?

Outgoing Transfers

  1. Which storage host is the outgoing data located on, and what is the absolute path to it (e.g., /net/bmc-lab2/...)? This will depend on your lab association.

For additional assistance or questions, please reach out to luria-help@mit.edu.

Resources

Whether the transfer is or .

Who will be needing access to write to the specified path? This can be a member of your team or your collaborator's team. For information on logging in to the Globus platform, please .

Does the destination institution use Globus? If so, has the destination Globus collection been created yet? If not, the data can be transferred to local storage using , which will need to be configured prior to the transfer.

Who will be needing access to read from the specified path? This can be a member of your team or your collaborator's team. For information on logging in to the Globus platform, please .

here
create an account
Globus website
Globus ID form
step-by-step guide
Koch Institute Histology Data
Koch Institute Preclinical Imaging and Testing Data
Koch Institute Microscopy Data
Koch Institute Nano Data
Koch Institute BioMicro Data (BMC-PUB16)
Koch Institute BioMicro Data (BMC-PUB17)
Globus Connect Personal
https://docs.globus.org/guides/tutorials/manage-files/transfer-files/
https://globus.stanford.edu/scenarios.html
https://docs.globus.org/faq/security/
https://docs.globus.org/faq/transfer-sharing/
incoming
outgoing
see above
see above