Partek
  • Overview
  • Partek Flow
    • Frequently Asked Questions
      • General
      • Visualization
      • Statistics
      • Biological Interpretation
      • How to cite Partek software
    • Quick Start Guide
    • Installation Guide
      • Minimum System Requirements
      • Single Cell Toolkit System Requirements
      • Single Node Installation
      • Single Node Amazon Web Services Deployment
      • Multi-Node Cluster Installation
      • Creating Restricted User Folders within the Partek Flow server
      • Updating Partek Flow
      • Uninstalling Partek Flow
      • Dependencies
      • Docker and Docker-compose
      • Java KeyStore and Certificates
      • Kubernetes
    • Live Training Event Recordings
      • Bulk RNA-Seq Analysis Training
      • Basic scRNA-Seq Analysis & Visualization Training
      • Advanced scRNA-Seq Data Analysis Training
      • Bulk RNA-Seq and ATAC-Seq Integration Training
      • Spatial Transcriptomics Data Analysis Training
      • scRNA and scATAC Data Integration Training
    • Tutorials
      • Creating and Analyzing a Project
        • Creating a New Project
        • The Metadata Tab
        • The Analyses Tab
        • The Log Tab
        • The Project Settings Tab
        • The Attachments Tab
        • Project Management
        • Importing a GEO / ENA project
      • Bulk RNA-Seq
        • Importing the tutorial data set
        • Adding sample attributes
        • Running pre-alignment QA/QC
        • Trimming bases and filtering reads
        • Aligning to a reference genome
        • Running post-alignment QA/QC
        • Quantifying to an annotation model
        • Filtering features
        • Normalizing counts
        • Exploring the data set with PCA
        • Performing differential expression analysis with DESeq2
        • Viewing DESeq2 results and creating a gene list
        • Viewing a dot plot for a gene
        • Visualizing gene expression in Chromosome view
        • Generating a hierarchical clustering heatmap
        • Performing biological interpretation
        • Saving and running a pipeline
      • Analyzing Single Cell RNA-Seq Data
      • Analyzing CITE-Seq Data
        • Importing Feature Barcoding Data
        • Data Processing
        • Dimensionality Reduction and Clustering
        • Classifying Cells
        • Differentially Expressed Proteins and Genes
      • 10x Genomics Visium Spatial Data Analysis
        • Start with pre-processed Space Ranger output files
        • Start with 10x Genomics Visium fastq files
        • Spatial data analysis steps
        • View tissue images
      • 10x Genomics Xenium Data Analysis
        • Import 10x Genomics Xenium Analyzer output
        • Process Xenium data
        • Perform Exploratory analysis
        • Make comparisons using Compute biomarkers and Biological interpretation
      • Single Cell RNA-Seq Analysis (Multiple Samples)
        • Getting started with the tutorial data set
        • Classify cells from multiple samples using t-SNE
        • Compare expression between cell types with multiple samples
      • Analyzing Single Cell ATAC-Seq data
      • Analyzing Illumina Infinium Methylation array data
      • NanoString CosMx Tutorial
        • Importing CosMx data
        • QA/QC, data processing, and dimension reduction
        • Cell typing
        • Classify subpopulations & differential expression analysis
    • User Manual
      • Interface
      • Importing Data
        • SFTP File Transfer Instructions
        • Import single cell data
        • Importing 10x Genomics Matrix Files
        • Importing and Demultiplexing Illumina BCL Files
        • Partek Flow Uploader for Ion Torrent
        • Importing 10x Genomics .bcl Files
        • Import a GEO / ENA project
      • Task Menu
        • Task actions
        • Data summary report
        • QA/QC
          • Pre-alignment QA/QC
          • ERCC Assessment
          • Post-alignment QA/QC
          • Coverage Report
          • Validate Variants
          • Feature distribution
          • Single-cell QA/QC
          • Cell barcode QA/QC
        • Pre-alignment tools
          • Trim bases
          • Trim adapters
          • Filter reads
          • Trim tags
        • Post-alignment tools
          • Filter alignments
          • Convert alignments to unaligned reads
          • Combine alignments
          • Deduplicate UMIs
          • Downscale alignments
        • Annotation/Metadata
          • Annotate cells
          • Annotation report
          • Publish cell attributes to project
          • Attribute report
          • Annotate Visium image
        • Pre-analysis tools
          • Generate group cell counts
          • Pool cells
          • Split matrix
          • Hashtag demultiplexing
          • Merge matrices
          • Descriptive statistics
          • Spot clean
        • Aligners
        • Quantification
          • Quantify to annotation model (Partek E/M)
          • Quantify to transcriptome (Cufflinks)
          • Quantify to reference (Partek E/M)
          • Quantify regions
          • HTSeq
          • Count feature barcodes
          • Salmon
        • Filtering
          • Filter features
          • Filter groups (samples or cells)
          • Filter barcodes
          • Split by attribute
          • Downsample Cells
        • Normalization and scaling
          • Impute low expression
          • Impute missing values
          • Normalization
          • Normalize to baseline
          • Normalize to housekeeping genes
          • Scran deconvolution
          • SCTransform
          • TF-IDF normalization
        • Batch removal
          • General linear model
          • Harmony
          • Seurat3 integration
        • Differential Analysis
          • GSA
          • ANOVA/LIMMA-trend/LIMMA-voom
          • Kruskal-Wallis
          • Detect alt-splicing (ANOVA)
          • DESeq2(R) vs DESeq2
          • Hurdle model
          • Compute biomarkers
          • Transcript Expression Analysis - Cuffdiff
          • Troubleshooting
        • Survival Analysis with Cox regression and Kaplan-Meier analysis - Partek Flow
        • Exploratory Analysis
          • Graph-based Clustering
          • K-means Clustering
          • Compare Clusters
          • PCA
          • t-SNE
          • UMAP
          • Hierarchical Clustering
          • AUCell
          • Find multimodal neighbors
          • SVD
          • CellPhoneDB
        • Trajectory Analysis
          • Trajectory Analysis (Monocle 2)
          • Trajectory Analysis (Monocle 3)
        • Variant Callers
          • SAMtools
          • FreeBayes
          • LoFreq
        • Variant Analysis
          • Fusion Gene Detection
          • Annotate Variants
          • Annotate Variants (SnpEff)
          • Annotate Variants (VEP)
          • Filter Variants
          • Summarize Cohort Mutations
          • Combine Variants
        • Copy Number Analysis (CNVkit)
        • Peak Callers (MACS2)
        • Peak analysis
          • Annotate Peaks
          • Filter peaks
          • Promoter sum matrix
        • Motif Detection
        • Metagenomics
          • Kraken
          • Alpha & beta diversity
          • Choose taxonomic level
        • 10x Genomics
          • Cell Ranger - Gene Expression
          • Cell Ranger - ATAC
          • Space Ranger
          • STARsolo
        • V(D)J Analysis
        • Biological Interpretation
          • Gene Set Enrichment
          • GSEA
        • Correlation
          • Correlation analysis
          • Sample Correlation
          • Similarity matrix
        • Export
        • Classification
        • Feature linkage analysis
      • Data Viewer
      • Visualizations
        • Chromosome View
          • Launching the Chromosome View
          • Navigating Through the View
          • Selecting Data Tracks for Visualization
          • Visualizing the Results Using Data Tracks
          • Annotating the Results
          • Customizing the View
        • Dot Plot
        • Volcano Plot
        • List Generator (Venn Diagram)
        • Sankey Plot
        • Transcription Start Site (TSS) Plot
        • Sources of variation plot
        • Interaction Plots
        • Correlation Plot
        • Pie Chart
        • Histograms
        • Heatmaps
        • PCA, UMAP and tSNE scatter plots
        • Stacked Violin Plot
      • Pipelines
        • Making a Pipeline
        • Running a Pipeline
        • Downloading and Sharing a Pipeline
        • Previewing a Pipeline
        • Deleting a Pipeline
        • Importing a Pipeline
      • Large File Viewer
      • Settings
        • Personal
          • My Profile
          • My Preferences
          • Forgot Password
        • System
          • System Information
          • System Preferences
          • LDAP Configuration
        • Components
          • Filter Management
          • Library File Management
            • Library File Management Settings
            • Library File Management Page
            • Selecting an Assembly
            • Library Files
            • Update Library Index
            • Creating an Assembly on the Library File Management Page
            • Adding Library Files on the Library File Management Page
            • Adding a Reference Sequence
            • Adding a Cytoband
            • Adding Reference Aligner Indexes
            • Adding a Gene Set
            • Adding a Variant Annotation Database
            • Adding a SnpEff Variant Database
            • Adding a Variant Effect Predictor (VEP) Database
            • Adding an Annotation Model
            • Adding Aligner Indexes Based on an Annotation Model
            • Adding Library Files from Within a Project
            • Microarray Library Files
            • Adding Prep kit
            • Removing Library Files
          • Option Set Management
          • Task Management
          • Pipeline managment
          • Lists
        • Access
          • User Management
          • Group Management
          • Licensing
          • Directory Permissions
          • Access Control Log
          • Failed Logins
          • Orphaned files
        • Usage
          • System Queue
          • System Resources
          • Usage Report
      • Server Management
        • Backing Up the Database
        • System Administrator Guide (Linux)
        • Diagnosing Issues
        • Moving Data
        • Partek Flow Worker Allocator
      • Enterprise Features and Toolkits
        • REST API
          • REST API Command List
      • Microarray Toolkit
        • Importing Custom Microarrays
      • Glossary
    • Webinars
    • Blog Posts
      • How to select the best single cell quality control thresholds
      • Cellular Differentiation Using Trajectory Analysis & Single Cell RNA-Seq Data
      • Spatial transcriptomics—what’s the big deal and why you should do it
      • Detecting differential gene expression in single cell RNA-Seq analysis
      • Batch remover for single cell data
      • How to perform single cell RNA sequencing: exploratory analysis
      • Single Cell Multiomics Analysis: Strategies for Integration
      • Pathway Analysis: ANOVA vs. Enrichment Analysis
      • Studying Immunotherapy with Multiomics: Simultaneous Measurement of Gene and Protein
      • How to Integrate ChIP-Seq and RNA-Seq Data
      • Enjoy Responsibly!
      • To Boldly Go…
      • Get to Know Your Cell
      • Aliens Among Us: How I Analyzed Non-Model Organism Data in Partek Flow
    • White Papers
      • Understanding Reads in RNA-Seq Analysis
      • RNA-Seq Quantification
      • Gene-specific Analysis
      • Gene Set ANOVA
      • Partek Flow Security
      • Single Cell Scaling
      • UMI Deduplication in Partek Flow
      • Mapping error statistics
    • Release Notes
      • Release Notes Archive - Partek Flow 10
  • Partek Genomics Suite
    • Installation Guide
      • Minimum System Requirements
      • Computer Host ID Retrieval
      • Node Locked Installation
        • Windows Installation
        • Macintosh Installation
      • Floating/Locked Floating Installation
        • Linux Installation
          • FlexNet Installation on Linux
        • Installing FlexNet on Windows
        • License Server FAQ's
        • Client Computer Connection to License Server
      • Uninstalling Partek Genomics Suite
      • Updating to Version 7.0
      • License Types
      • Installation FAQs
    • User Manual
      • Lists
        • Importing a text file list
        • Adding annotations to a gene list
        • Tasks available for a gene list
        • Starting with a list of genomic regions
        • Starting with a list of SNPs
        • Importing a BED file
        • Additional options for lists
      • Annotation
      • Hierarchical Clustering Analysis
      • Gene Ontology ANOVA
        • Implementation Details
        • Configuring the GO ANOVA Dialog
        • Performing GO ANOVA
        • GO ANOVA Output
        • GO ANOVA Visualisations
        • Recommended Filters
      • Visualizations
        • Dot Plot
        • Profile Plot
        • XY Plot / Bar Chart
        • Volcano Plot
        • Scatter Plot and MA Plot
        • Sort Rows by Prototype
        • Manhattan Plot
        • Violin Plot
      • Visualizing NGS Data
      • Chromosome View
      • Methylation Workflows
      • Trio/Duo Analysis
      • Association Analysis
      • LOH detection with an allele ratio spreadsheet
      • Import data from Agilent feature extraction software
      • Illumina GenomeStudio Plugin
        • Import gene expression data
        • Import Genotype Data
        • Export CNV data to Illumina GenomeStudio using Partek report plug-in
        • Import data from Illumina GenomeStudio using Partek plug-in
        • Export methylation data to Illumina GenomeStudio using Partek report plug-in
    • Tutorials
      • Gene Expression Analysis
        • Importing Affymetrix CEL files
        • Adding sample information
        • Exploring gene expression data
        • Identifying differentially expressed genes using ANOVA
        • Creating gene lists from ANOVA results
        • Performing hierarchical clustering
        • Adding gene annotations
      • Gene Expression Analysis with Batch Effects
        • Importing the data set
        • Adding an annotation link
        • Exploring the data set with PCA
        • Detect differentially expressed genes with ANOVA
        • Removing batch effects
        • Creating a gene list using the Venn Diagram
        • Hierarchical clustering using a gene list
        • GO enrichment using a gene list
      • Differential Methylation Analysis
        • Import and normalize methylation data
        • Annotate samples
        • Perform data quality analysis and quality control
        • Detect differentially methylated loci
        • Create a marker list
        • Filter loci with the interactive filter
        • Obtain methylation signatures
        • Visualize methylation at each locus
        • Perform gene set and pathway analysis
        • Detect differentially methylated CpG islands
        • Optional: Add UCSC CpG island annotations
        • Optional: Use MethylationEPIC for CNV analysis
        • Optional: Import a Partek Project from Genome Studio
      • Partek Pathway
        • Performing pathway enrichment
        • Analyzing pathway enrichment in Partek Genomics Suite
        • Analyzing pathway enrichment in Partek Pathway
      • Gene Ontology Enrichment
        • Open a zipped project
        • Perform GO enrichment analysis
      • RNA-Seq Analysis
        • Importing aligned reads
        • Adding sample attributes
        • RNA-Seq mRNA quantification
        • Detecting differential expression in RNA-Seq data
        • Creating a gene list with advanced options
        • Visualizing mapped reads with Chromosome View
        • Visualizing differential isoform expression
        • Gene Ontology (GO) Enrichment
        • Analyzing the unexplained regions spreadsheet
      • ChIP-Seq Analysis
        • Importing ChIP-Seq data
        • Quality control for ChIP-Seq samples
        • Detecting peaks and enriched regions in ChIP-Seq data
        • Creating a list of enriched regions
        • Identifying novel and known motifs
        • Finding nearest genomic features
        • Visualizing reads and enriched regions
      • Survival Analysis
        • Kaplan-Meier Survival Analysis
        • Cox Regression Analysis
      • Model Selection Tool
      • Copy Number Analysis
        • Importing Copy Number Data
        • Exploring the data with PCA
        • Creating Copy Number from Allele Intensities
        • Detecting regions with copy number variation
        • Creating a list of regions
        • Finding genes with copy number variation
        • Optional: Additional options for annotating regions
        • Optional: GC wave correction for Affymetrix CEL files
        • Optional: Integrating copy number with LOH and AsCN
      • Loss of Heterozygosity
      • Allele Specific Copy Number
      • Gene Expression - Aging Study
      • miRNA Expression and Integration with Gene Expression
        • Analyze differentially expressed miRNAs
        • Integrate miRNA and Gene Expression data
      • Promoter Tiling Array
      • Human Exon Array
        • Importing Human Exon Array
        • Gene-level Analysis of Exon Array
        • Alt-Splicing Analysis of Exon Array
      • NCBI GEO Importer
    • Webinars
    • White Papers
      • Allele Intensity Import
      • Allele-Specific Copy Number
      • Calculating Genotype Likelihoods
      • ChIP-Seq Peak Detection
      • Detect Regions of Significance
      • Genomic Segmentation
      • Loss of Heterozygosity Analysis
      • Motif Discovery Methods
      • Partek Genomics Suite Security
      • Reads in RNA-Seq
      • RNA-Seq Methods
      • Unpaired Copy Number Estimation
    • Release Notes
    • Version Updates
    • TeamViewer Instructions
  • Getting Help
    • TeamViewer Instructions
Powered by GitBook
On this page
  • Overview
  • Starting a new project
  • Uploading your dataset
  • Basic Partek Flow layout
  • The Metadata Tab
  • The Analyses Tab
  • Data and task nodes
  • Performing tasks
  • Saving visualizations
  • Save visualizations from a task report
  • Save visualizations from the Data viewer
  • Downloading your data
  • Viewing task details
  • View individual task details
  • View task details for all performed tasks upstream of the data node
  • View all tasks performed on the project
  • Additional navigation
  • Project settings tab
  • Task node actions
  • Pipelines
  • Access tutorial data from the interface
  • Partek Flow in action
  • Additional Assistance
Export as PDF
  1. Partek Flow

Quick Start Guide

PreviousHow to cite Partek softwareNextInstallation Guide

Last updated 5 months ago

Overview

This guide outlines 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. This page shows recent projects you've worked on and pertinent details about each project. Click the project name to open the project and continue the analysis.

Starting a new project

From the Home Page, click the Add project button.

Assign a name to the project and click the Create project button.

Uploading your dataset

Upon creation of a new project, the Analyses tab will appear, prompting you to add samples to your project.

Select the type of data (Single cell, Bulk, Other), choose the assay type, and select the data format for the files you would like to create samples from. Partek Flow accepts various data types. Use the Next button to proceed with import.

There are three ways you can upload the data:

  1. 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.

Basic Partek Flow layout

The Metadata Tab

Once the samples have been created, assign the corresponding sample attributes for each sample using the Metadata tab.

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 Metadata tab)

  • List the corresponding attributes for each sample in the succeeding columns

The Analyses Tab

After samples have been added and associated with valid data files, a data node will appear in the Analyses tab. The Analyses tab is where you can invoke tasks, using the toolbox on the right, and view the results of your analysis.

To add more data, use the context sensitive menu on the right (toolbox) and choose Add data under Import. There is also an option in the Metadata tab to Add data.

Data can no longer be added to the project once the analyses begins and tasks are performed from the initial data node.

Data and task nodes

The Analyses tab contains two elements: data nodes (circles) and task nodes (rectangles) connected by lines and arrows . Collectively, they represent a data analysis pipeline.

Performing tasks

Clicking a data node brings up a context sensitive menu on the right. This menu changes depending on the type of data node. It will only present tasks which can be performed on that specific data type. Hover over the task to obtain additional information regarding each option.

Select the task you wish to perform from the menu. When configuring task options, additional information regarding each option is available. 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 data node and choose the Task report option on the menu.

Saving visualizations

Some visualizations are available in the task report and others are sent to the Data viewer for modification and export.

Save visualizations from a task report

Save visualizations from the Data viewer

Downloading your data

Data associated with any data node can be downloaded by clicking the node and choosing Download data at the bottom of the task menu. 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.

Viewing task details

There are three ways to view details about the tasks performed in Partek Flow.

  • Click the individual task node (rectangle) and select Task details from the task menu

  • Click the data node (circle) and select Data summary report from the task menu

  • Click the Log tab

View individual task details

This is used to view the task details from an individual task, including the commands. Navigate to the the task node (rectangle) and select Task details from the task menu.

View task details for all performed tasks upstream of the data node

This is used to access the task details for all of the steps performed upstream from the data node that has been selected. Click the data node (circle) and select Data summary report from the task menu.

View all tasks performed on the project

The Log tab is used to view all tasks performed within the project. It contains a table of the tasks that are running, scheduled, or those that have been completed within the Partek Flow. It provides an overview of the task progress, enables task management, and links to detailed reports for each task.

Additional navigation

Project settings tab

To modify the name of the project and other details like adding collaborators, navigate to the Project settings tab.

Task node actions

Task node (rectangle) actions on the task menu (toolbox) allow you to rerun tasks, rerun with downstream tasks, edit the description, and change the color.

Pipelines

Access tutorial data from the interface

Partek Flow also provides demo data within the interface so you can automatically begin a project with this data type for bulk RNA-Seq or single cell RNA-Seq and follow along with the tutorials listed below. Navigate to your avatar in the top right corner and click Settings then click the data type of interest.

Partek Flow in action

Additional Assistance

Click the blue Add data button

From your Partek Flow server ()

From a GEO / ENA Bioproject ()

If you already have attribute information about your cells from a single cell experiment, you can use the Annotate cells task in the Analyses tab of Partek Flow to apply this information to the data. Once applied, these can be used like any other attribute in Partek Flow, and thus can be used for cell selection, classification and differential analysis. Data nodes in the Analyses pipeline that contain this cell level information (e.g. Graph-based clusters data node) can be published to the project and will then be available to Manage under Cell attributes.

When available, hover over Tooltips or click the video help for decision making.

Click Save on any visualization to export a publication-quality image.

To save an individual image within the Data viewer to your machine, click Export image in the top right corner of the image and select the format, size, and resolution then click Save.

For more information on using the Data viewer .

Pipelines can be created for future use. Select Create new pipeline near the bottom left-hand side of the browser window.

(RNA-Seq 5-AZA)

(Single cell glioma (multi-sample))

Watch

If you need additional assistance, please visit to submit a help ticket or find phone numbers for regional support.

click here for more information
click here for more information
Please click here for more information on adding a priori cell annotation.
Please click here for more information on publishing cell attributes to the project.
please click here
Please click here for more information on the Data summary report
Please click here for information about the Log tab.
Please click here for information about the Project settings tab.
Please click here for more information on Task actions.
Please click here for a tutorial which covers saving and running a pipeline.
Please click here for more information about Pipeline management.
Bulk RNA Seq
Single cell RNA-Seq
live training event recordings for different types of data.
our support page
Overview
Starting a new project
Basic Partek Flow layout
Saving visualizations
Downloading your data
Viewing task details
Additional navigation
Access tutorial data from the interface
Partek Flow in action
Access projects from the homepage by clicking on the project name
Click the Add project button to start a new project
Name the project and click Create project
Sample and cell attributes are managed in the Metadata tab
The Analyses tab showing a data node of unaligned reads. Use the Context-sensitive menu on the right to run tasks.
Example of a data analysis pipeline
Use the context sensitive menu to run a task on the data node
Configure the task options to meet your needs and click Finish
Save visualizations using the save icon
Click export image to Save the image in different formats, sizes and resolutions
Select the data node and navigate to the bottom of the task menu then click Download data
Select the task node (rectangle) and click Task details to view information about the task including the commands
Select the data node (circle) and click Data summary report to show information for all upstream tasks
The Log tab is used to view all tasks within the project and enables task management including task progress and links to detailed reports for each task
Navigate to the Project settings tab to modify the name of the project and other details like adding collaborators
Click the task node (rectangle) to perform task actions in the toolbox (task menu)
Pipelines can be created for future use by clicking Create new pipeline
Navigate to the tutorial data by clicking your Avatar, Settings, then the data of interest