To successfully activate SnapGene, users should follow a structured process that begins with receiving a confirmation email and ends with verifying registration. This guide outlines each step and provides troubleshooting advice for common issues.
This document outlines the process for granting students access to ChemDraw under the new Single Sign-On (SSO) licensing model.
This is a sample welcome email for Adobe Creative Cloud users, which they will receive when their license is activated. It notifies the user they have access to Creative Cloud Apps and provides instruction and information about accessing the products.
This is a sample welcome email for Adobe Express users, which they will receive when their license is activated. It notifies the user they have access to Express and provides instruction and information about accessing the product.
How to Fix Blank Space Missing Between Pages in Word
This knowledge base article summarizes approved use, licensing requirements, and information security expectations for ChatGPT use by MU Health Academic users.
How to connect one drive and upload files from USB or Local Files
This document provides an interim standard and update on the use of Microsoft Copilot products within MU Health Care, outlining approved versions, usage restrictions, and data handling policies during the ongoing policy development phase.
The document outlines how University of Missouri System (UM System) users can access and use Google NotebookLM, an AI-powered research and note-taking tool. It describes how to log in to NotebookLM with University credentials, highlights key features (such as summarizing documents and interactive Q&A about your content), and provides examples of effective use cases for academic and administrative tasks. Additionally, it covers data security guidelines (e.g., ensuring no highly sensitive informat
This is a sample welcome email for GraphPad users, which they will receive when their license is activated. It notifies the user they have access to GraphPad and provides instruction and information about accessing the product.
This article provides instructions for accessing IBM SPSS Modeler based on your user type (lab computers, faculty/staff, or students).
Troubleshooting Guide for Grammarly for Education
This article explains how to verify your department’s MoCode and Authorized Signer in TDX before submitting a software purchase request. It covers why accuracy is critical to avoid delays, provides step-by-step instructions for using the MoCode Lookup Tool, and includes tips and troubleshooting guidance to ensure smooth approvals and timely software delivery.
Step-by-step process for accessing Software Center in Mac OS.
Steps on accessing different Microsoft accounts across websites in an internet browser.
Index of R/RStudio guides
A central guide for researchers to build stable and high-performance coding environments using the Conda ecosystem. It brings together best practices—such as choosing the right distribution and using "blueprints" to share work—to help you avoid technical conflicts and ensure your research can be perfectly recreated by others. By following these strategies, you can protect your productivity and make your software projects both portable and reliable.
Information about SPSS Statistics on Mac with a solution to a common issue
Instructions for mail merge using a shared mailbox.
How to utilize agents through a Microsoft 365 Copilot Basic license
The document outlines how University of Missouri System users can request, access, and use the paid version of Microsoft 365 Copilot, explaining where to find Copilot in Microsoft apps, basic troubleshooting steps, and example use cases across Word, Excel, Outlook, PowerPoint, and Teams.
This document outlines how University of Missouri System users can request, access, and use Microsoft Teams Premium. It includes instructions for locating Teams Premium features in Microsoft Teams, troubleshooting access issues, and understanding appropriate use and security restrictions, especially for users handling sensitive data.
Instructions for O365 Excel.
Instructions for O365 Flow.
Instructions for O365 Forms.
Information for 0365 OneDrive.
Instructions for O365 OneNote.
Information for 0365 PowerPoint.
Instructions for O365 Teams for Faculty, Students and Staff.
Instructions for O365 Word.
Information on how to order software from UM DoIT Software Sales.
This article covers how to purchase NVivo outside of the Software Sales & Licensing team.
An overview of the updated process of ordering TechSmith products.
Development article for research software notification testing - DEV
Steps on how to sign in to OneDrive on a Mac computer
Steps on how to sign in to OneDrive on a Windows computer
This knowledge base article outlines security and compliance requirements for the use of Microsoft Teams Premium in health‑related academic and clinical environments.
Informs users on how to repair and reinstall Microsoft application in order to fix errors that are not solved by signing out then back in (i.e. Audio issues on Teams, Outlook files not syncing)
Index of Articles for Managed Virtual Conda Environments
Index of Anaconda Navigator articles.
Index of Miniconda How-To Articles for Virtual Conda Environments
To make your work reliable and easy to share, this article recommends using a special blueprint file (called environment.yml) to list all the software tools your project needs. By using this file, anyone can recreate your exact workspace with a single command, ensuring your code runs the same way on every computer. Keeping your projects in their own separate folders and "freezing" your settings when finished prevents future updates from breaking your work.
A collection of best practices and how-to guides for managing R workflows.
Quick start guide to using Rstudio on University-managed computers including installation from Company Portal, utilization of creating individual renv environments for each project, adding additional packages and creating snapshots of configurations for portability and reproducibility.
How to safely update your software tools using either a simple "point-and-click" dashboard or a few quick commands. While staying up to date provides the latest security and features, the guide cautions against updating in the middle of a project to prevent unexpected changes to your current work. Using separate, unique environments for different projects is recommended to keep your updates organized and your computer stable.
Compare three versions of the Conda engine to help you pick the best one for your technical skills and computer type. You can choose Anaconda Navigator for a beginner-friendly, "point-and-click" experience, or go with Miniconda or Miniforge if you prefer a lightweight, professional setup that saves disk space. While they differ in size and interface, all three create isolated "sandboxes" to ensure your software projects don't interfere with each other.
Best practices for managing portable and reproducible R code across OS platforms.
Conda acts as a smart organizer for your coding projects, ensuring that all the necessary software "ingredients" work together perfectly without breaking your computer's setup. It supports both Python and R, making it easy to manage complex tools and share your exact environment so your work runs reliably on any machine.
Best Practices and Managing Library Paths and Packages in RStudio (User-Level Installation Only)
Best Practices for Managing Integrated R & Python Projects with Conda
Quick start guide to using Miniconda for Python on University-managed computers including installation without administrator credentials, utilization of unique conda environments for each project, adding additional channels for packages and backing up configurations for portability and reproducibility. Please see linked articles for detailed how-to instructions and the additional assistance links for more documents related to the subject.
Quick start guide to using R, Rstudio and Python together on University-managed computers including installation without administrator credentials, utilization of unique conda environments for each project, adding additional channels for packages, adding R and Python packages to the environment, launching Rstudio, utilizing the reticulate R package and backing up configurations for portability and reproducibility.
Quick start guide to using Anaconda for Python on University-managed computers including installation without administrator credentials, utilization of unique conda environments for each project, adding additional channels for packages and backing up configurations for portability and reproducibility. Please see linked articles for detailed how-to instructions and the additional assistance links for more documents related to the subject.
Install Anaconda as user without administrator permissions in Windows.
Install R from Company Portal
Step-by-step self-service software installation using Software Center in Microsoft Windows.
Install Anaconda as user without administrator permissions on a Mac
Install Rstudio from Company Portal
Installing Rtools in user environment without admin privileges.
Install Miniconda as user without administrator permissions in Windows.
Install Miniconda as user without administrator permissions on a Mac.
Open Windows Anaconda Prompt and MacOS Terminal Command Line Interface in a Virtual Conda Environment
Step-by-step process to uninstall or remove self-service software from Software Center in Microsoft Windows.
A step-by-step guide for creating a new project in RStudio including Renv.
Think of Conda as a way to create separate, private "workspaces" on your computer for different projects so their software settings don't get mixed up or cause errors. While other tools only handle one coding language, Conda is a "heavy hitter" that can manage almost any software component, making it the top choice for complex fields like Data Science and AI. By using these isolated spaces, you keep your computer stable and make it easy to share your exact setup with others.
Create a Conda Environment in Anaconda Navigator
Create a Conda Environment in the command line interface in Windows.
Create a Conda Environment from a YAML formatted file via Command Line Interface .
Activate Conda Environment in Anaconda Navigator
Activate a Conda Environment in the command line interface in Windows.
Deactivate Conda Environment via Command Line Interface
Remove a Virtual Conda Environment via Graphical Interface
Remove a Virtual Conda Environment via Command Line Interface
Step-by-step process to manually map a Research Data Ecosystem (RDE) lab share in MacOS.
Step-by-step process to view installation status of self-service software from Software Center in Microsoft Windows.
A step-by-step guide for installing packages into an existing project in RStudio.
Conda channels act like specialized "app stores" or online libraries where you can find and download different software packages for your projects. This article explains how to choose between major stores like the curated Anaconda Defaults or the massive, community-run Conda-Forge. It also covers how to set a "priority" for these stores so your computer always knows which one to check first to keep your software stable and up-to-date.
Step-by-step process for retrieving computer name from Software Center in Microsoft Windows.
Add a Channel in a Conda Environment in Anaconda Navigator
Step-by-step process for retrieving computer name via Command Prompt in Microsoft Windows.
A step-by-step guide for updating packages on an RStudio project.
Add Channel to Bottom of Channel List in a Conda Environment via Command Line Interface
Step-by-step process for retrieving computer name from Software Center in Mac OS.
Step-by-step process for retrieving computer name via Terminal in Mac OS.
List library paths for Rstudio for current project.
How to list out installed libraries and their packages.
Add Channel to Top of Channel List in a Conda Environment via Command Line Interface
A step-by-step guide for uninstalling packages from an existing project in RStudio.
Remove a Channel in a Conda Environment via Command Line Interface
A step-by-step guide for creating a snapshot of an RStudio project with Renv.
Install a Package in a Conda Environment via Command Line Interface
A step-by-step guide for restoring a snapshot on an RStudio project with Renv.
Install a Package in a Conda Environment in Anaconda Navigator
Install a PyPI Package with PIP in a Conda Environment via Command Line Interface
Install an R package from CRAN in a virtual conda environment using the command line interface.
Remove a Package in a Conda Environment via Command Line Interface.
A step-by-step guide for adding a secondary repository to RStudio.
Update a Package in a Conda Environment via Command Line Interface
Update a Package in a Conda Environment in Anaconda Navigator
Upgrade a PyPI Package with PIP in a Conda Environment via Command Line Interface
Update all Packages in a Conda Environment via Command Line Interface
A step-by-step guide for adding renv to an existing project in RStudio.
Backup a Conda Environment Configuration via Command Line Interface into a YAML formatted file.
Utilize relative and platform independent paths in your Rstudio project for portable code.
Export a Conda Environment to Share Across OS Platforms
Integrating R and Python on Windows can be notoriously finicky. The rpy2 library bridges this gap beautifully, but installing it via traditional methods often triggers a cascade of compilation headaches. Using Conda eliminates this friction by managing pre-compiled binaries and dependencies smoothly.
Create conda environment for using Rstudio with R packages to ensure a robust set of base packages (like ggplot2 and dplyr) compiled specifically for your environment.
Launching RStudio from a specific Conda environment ensures that your R sessions use the exact package versions, dependencies, and R executable isolated within that environment.
Link Rtools to Rstudio by inserting Rtools path in .Renviron file.
Verify Rstudio is using Rtools that was installed in user profile.
Using VS Code as Integrated Development Environment (IDE) in Conda Environment for Python and R Development - Windows
Using VS Code as Integrated Development Environment (IDE) in Conda Environment for Python and R Development - Mac
Index of Advanced Topics for Conda, Python, and R