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Flow

Bioinformatics software for analyzing and visualizing multiomic data, suitable for researchers of all skill levels.

Solution by Partek
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Overview

Partek Flow software is designed for the visual analysis of next-generation sequencing and large-scale multiomic data. It features an intuitive interface, robust statistical algorithms, and information-rich visualizations, enabling researchers of all skill levels to confidently analyze their data.

The software supports a wide range of applications, including bulk RNA-Seq, single-cell analysis, spatial transcriptomics, ChIP-Seq and ATAC-Seq, DNA-Seq, metagenomics, and microarray data. It is compatible with scalable DRAGEN secondary analysis and offers flexible installation options to meet the needs of individual users, core laboratories, and large enterprise organizations.

Key Features

  • Intuitive: Analyze multiomic data sets with user-friendly tools that require no advanced bioinformatics skills.
  • Powerful Statistics: Achieve reliable results using industry-standard statistical methods.
  • Interactive Visualizations: Explore data with detailed, publication-ready visualizations.

The software is available in both on-premises and cloud formats, supporting technologies such as microarray and sequencing. It provides efficient sample tracking and workflow management for genomics labs, along with secure and scalable bioinformatics platforms for seamless sequencer integration and flexible workflows.

Partek Flow offers various subscription options, including Lab and Enterprise Editions, with features like RNA-Seq, ChIP-Seq/ATAC-Seq, DNA-Seq, metagenomics, and microarray applications. Additional add-ons for single-cell and spatial analysis, as well as pathway analysis, are available for purchase.

With Partek Flow, researchers can visually build analysis workflows, save and reuse them, or share with colleagues. The context-sensitive interface ensures users have the right options at the right time, enhancing productivity and collaboration.

Meta

Category
Bioinformatics Workflow Management
Field(s)
Omics & Data Analysis
Target user(s)
Bioinformatician / Data Scientist
Tag(s)
Genomics / NGS Analysis