TABLE OF CONTENTS
- 1. Before you begin
- Before any data exploration or analysis takes place, outline the question you want to answer.
- Identify what projects you need to answer this question.
- Identify what tracks you need in each project to fulfill the aim of that project.
- Select the algorithms you want to use and run them on your data.
- Plot the output of your analyses by arranging tracks and projects in a meaningful way. This will allow you to tell a story and answers the question you defined at the beginning of your workflow.
- Publish your analysis, having answered the question you set out to investigate.
- 2. Landing page
- 3 Start up with data management
- 4. Data
- 5 Quick start your analysis
- 6 Quick links
- 7 Useful links
- 8 Ticket system
- 9 Navigation menu
- 10 Log out
- Use this button to log out.
1. Before you begin
Before you begin your analysis, we recommend you plan out what analyses you want to produce, in line with the UniApp workflow below.
Before any data exploration or analysis takes place, outline the question you want to answer.
Identify what projects you need to answer this question.
Identify what tracks you need in each project to fulfill the aim of that project.
Select the algorithms you want to use and run them on your data.
Plot the output of your analyses by arranging tracks and projects in a meaningful way. This will allow you to tell a story and answers the question you defined at the beginning of your workflow.
Publish your analysis, having answered the question you set out to investigate.
2. Landing page
Once you have logged in to the UniApp you will be greeted with the UniApp landing page.
3 Start up with data management
From the data management tab you can upload, import and organize datasets for analysis. To begin a new experiment you will need to either upload or import a dataset for analysis.
4. Data
4.1 Upload dataset
To upload a dataset, you can click on the Upload dataset button. You will be automatically brought to a new page where you will be able to upload your data and metadata (explained in the Creating a new experiment and data upload chapter).
4.2 Import data
To import a dataset, you can click on the Import Data button. The data processing wizard will import the data. You can also create subsets of your data, normalize data and filter data.
4.3 Organize datasets
To edit existing datasets, you can click on the Organize Datasets button. This will allow you to browse your datasets, to rename and edit them and to delete any experiments that are no longer needed.
5 Quick start your analysis
Once you have your dataset ready, you can perform different analyses from the analysis tab. To begin your analysis, you first need to create a project.
5.1 Create a workspace
If no workspace exist, you need to create a workspace before you can start carrying out an analysis. Click on the Workspace management button to create a new workspace or to manage and edit existing workspaces.
5.2 Select a project to work on
Click on the track overview button to work on the tracks belonging to the last selected project or to add new tracks to the last selected project. The title of the last selected project is displayed here.
5.3 Plan out your analysis with plots
Click on the plot overview button to work on the plots belonging to the last selected track or to add new plots to the last selected track. The title of the last selected track is displayed here.
5.4 Perform analysis
Click on the create plot page button to work on the plots belonging to the last selected track or to add new plots to the last selected track. The title of the latest placeholder plot is displayed here.
5.5 View analysis results
Click on the interactive plot to work on plotting the analysis that was most recently performed. The title of the latest performed analysis is displayed here.
5.6 Publish your analysis
Click on the Preview data portal button to preview your project and export it to the data portal, where it can be shared with others.
6 Quick links
The quick links section redirects you to links including further insights and inspirations regarding the algorithms, databases and technologies incorporated in the uniapp.
6.1 UniApp configuration
Click on the UniApp configuration button to choose UniApp configuration options.
6.2 Tech watch
Click on the Tech watch button see the latest data generated by cutting-edge technologies and UniApp algorithms that can analyze it.
6.3 Analysis plans
Planning is key to sucess in data science. Click on the Analysis plans button to learn more about the pre-made analysis plans that can help guide your analysis.
6.4 Expert support
Click on the Expert support button to learn how to get help from expert data science consultants.
7 Useful links
7.1 Demo project
Click on the Demo project button to see an example of a project produced solely through UniApp.
7.2 Demo report
Click on the Demo report button to see an example of the types of reports that can be produced solely through UniApp by Unicle consultants.
7.3 Demo paper
Click on the Demo paper button to see an example of an article published in a high-impact journal with the help of the UniApp and Unicle consultants.
7.4 Demo data portal
Click on the Demo data portal button to see an example of an UniApp project published as a publicly available data portal.
7.5 Knowledgebase
Click on the Knowledge base button to read help articles about using UniApp, data management, omics techniques, algorithms and other topics relating to multi-omics analysis.
8 Ticket system
Do you need help using the UniApp? Don't know the next step in your analysis? Is there a feature that you would like to see implemented in the UniApp? Let us know by clicking on the "Have questions?" button. You will be taken to our ticketing system where you can submit your question. Log into the Unicle Freshdesk to follow-up onyour ticket.
9 Navigation menu
By selecting the hamburger menu button on top left you can open a navigation menu to jump to different areas of UniApp.
The navigation menu opens on the left after clicking the burger icon.
10 Log out
Use this button to log out.
Was this article helpful?
That’s Great!
Thank you for your feedback
Sorry! We couldn't be helpful
Thank you for your feedback
Feedback sent
We appreciate your effort and will try to fix the article