This guide gives the basics of Partek® Flow® usage. Partek Flow can be installed in either a server, computer cluster or on the cloud. Regardless of where it's installed, it can be viewed using any web browser. We recommend using Google Chrome.
This guide covers:
Logging in to your Partek Flow account will bring up the Home page (Figure 1). This page will show recent activities you've performed, recent projects you've worked on and pertinent details about each project.
Starting a new project
From the Home Page, click the New project button. Assign a name to the project and click the Create project button
Uploading your dataset
Upon creation of a new project, the Data tab will appear, prompting you to add samples to your project. Click the Add samples button. Selecting Automatically create samples from files is the fastest way to create a sample. Partek Flow accepts various data types including unaligned and aligned Next Generation Sequencing (NGS) reads, and microarray data. There are three ways you can upload data (Figure 2):
- From your Partek Flow server
- Directly from My computer (i.e. the computer you are currently using to access Partek Flow)
- From a URL
Because genomics datasets are generally large, it is ideal to have the data copied in a folder directly accessible to the Partek Flow server. Make sure that the directory has the appropriate permissions for Partek Flow to read and write files in that folder. You may wish to seek assistance from your system administrator in uploading your data directly.
Select the files you would like to create samples from. Once they've been created, assign the corresponding sample attributes for each sample. The most efficient way to assign sample attributes is by clicking Assign sample attributes from a file and uploading a tab delimited text file. The file should contain a table with the following:
- The first row lists the attribute names (e.g. Treatment, Exposure) and
- The first column of the table lists the sample names (the sample names in the file must be identical to the ones listed in the Sample name column in the Data tab)
- List the corresponding attributes for each sample in the succeeding columns
Basic Partek Flow layout
The Analysis Tab
After samples have been added and associated with valid data files, a data node will appear in the Analysis tab (Figure 3) . The Analysis tab is where you can invoke tasks and view the results of your analysis.
Data and task nodes
The Analyses tab contains two elements: data nodes (circles) and task nodes (rounded rectangles) connected by lines and arrows . Collectively, they represent a data analysis pipeline (Figure 4).
Clicking a data node brings up a context sensitive menu on the right (Figure 5). This menu changes depending on the type of data node. It will only present tasks which can be performed on that specific data type.
Select the task you wish to perform from the menu. When configuring task options, hover over the tab to obtain additional information regarding each option (Figure 6). Click Finish to perform the task.
Depending on the task, a new data node may automatically be created and connected to the original data node. This contains the data resulting from the task. Tasks that do not produce new data types, such as Pre-alignment QA/QC, will not produce an additional data node.
To view the results of a task, click the task node and choose the Task report option on the menu.
Click the Save button on any visualization to export a publication-quality image (Figure 7).
Downloading your data
Data associated with any data node can be downloaded by clicking the node and choosing Download data (Figure 8). Compressed files will be downloaded to the local computer where the user is accessing the Partek Flow server. Note that bigger files (such as unaligned reads) would take longer to download. For guidance, a file size estimate is provided for each data node. Downloaded files can be seamlessly imported in Partek® Genomics Suite®.
Partek Flow in action
Watch a webinar of how to set-up a simple RNA-Seq project.
If you need additional assistance, please visit our support page to submit a help ticket or find phone numbers for regional support.
Melissa del Rosario