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Flow

User-friendly software for analyzing and visualizing multiomic data, supporting various sequencing and microarray technologies.

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 that allows researchers of all skill levels to confidently analyze their data using robust statistical algorithms and information-rich visualizations.

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 enterprises.

Key Features

  • Intuitive: Analyze multiomic data sets with easy-to-use tools, requiring no advanced bioinformatics skills.
  • Powerful Statistics: Attain reliable results using industry-standard statistical methods.
  • Interactive Visualizations: Explore data with visualizations that are both information-rich and ready for publication.

Partek Flow can be deployed on-premises or in the cloud, supporting both microarray and sequencing technologies. It offers efficient sample tracking, workflow management, and secure data storage, making it suitable for genomics labs and large organizations alike.

The software enables comprehensive analysis workflows, allowing users to visually build, save, and share workflows. It supports the integration of multiple omics data types to provide a deeper understanding of cellular behavior and function.

Subscription options include Lab and Enterprise Editions, with features such as RNA-Seq, ChIP-Seq/ATAC-Seq, DNA-Seq, metagenomics, and microarray analysis. Additional tools for single-cell and spatial analysis, as well as pathway analysis, are available as add-ons.

Meta

Category
Genomic Data Analysis
Field(s)
Omics & Data Analysis
Target user(s)
Bioinformatician / Data ScientistBench Scientist / Lab Technician
Tag(s)
Genomics / NGS Analysis