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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 enterprise organizations.

Key Features

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

Partek Flow is available in both on-premises and cloud formats, supporting technologies such as microarray and sequencing. It provides efficient sample tracking, workflow management, and secure data storage, making it suitable for genomics labs and large organizations alike.

The software's applications extend to various fields, allowing users to delve into RNA-Seq data for gene expression analysis, unlock insights from single-cell studies, and explore chromatin accessibility with ChIP-Seq and ATAC-Seq data. It also facilitates the evaluation of microbial diversity in metagenomics and the investigation of disease mechanisms through microarray analysis.

Partek Flow offers annual and multi-year licenses with options for additional add-on tools and storage. Subscription options include Lab and Enterprise Editions, with features tailored to the needs of small labs or large organizations, providing tools for a comprehensive range of genomic applications.

Meta

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