Partek Flow Documentation

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The tutorial data set includes 9 samples equally divided into 3 treatment groups. Sequencing was performed by an Illumina HiSeq (paired-end reads), but the workflow can be easily adapted for data generated by other sequencers. Each sample has 2 fastq files for a total of 18 fastq files with the combined size of 6.17 GB. 

This tutorial will use two sets of samples: human brain reference (HBR) samples and universal human reference (UHR) samples (five each). Data was generated using an Ion Torrent® sequencer (single-end chemistry), but the workflow can be easily adapted for data generated by sequencers from other manufacturers.  The project consists of 10 fastq files with the combined size of 1.4 GB.


To obtain the tutorial data set, select your avatar and then go to Settings (Figure 1).

 

 

Figure 1. Location of the Settings link on the main page of Partek® Flow®

On the System information page, under the Download tutorial data heading, select the Ion Torrent brain vs UHR data set (Figure 2), and the download will begin. 

 

 

Figure 2. Downloading the sample data set

A new project will be created and you will be directed to the Data Tab.  The data will be downloaded automatically (Figure 3) and imported into your project.  Since this is a tutorial project, there is no need to click on Import data as it will be done automatically.

   

Figure 3. Creating a new project based on a sample data set. The project will be populated with samples automatically


 

At first the project is empty, but the file download will start automatically in the background. You can wait a few minutes and refresh the page or you can monitor the download progress in the Queue (Figure 4) by selecting Queue > View queued tasks…

 

Figure 4. Downloading tutorial data task in the queue (note that any user can download sample data set)

Once the download completes, the sample table will appear in the Data tab (Figure 5).

 

Figure 5. Sample table in the Data tab, right after download of the tutorial set

 

 

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