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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, robust statistical algorithms, and rich visualizations, enabling researchers of all skill levels to analyze data confidently.

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 for individual users, core laboratories, and large enterprises.

Key Features

  • Intuitive: Analyze multiomic data sets with user-friendly tools, requiring 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 microarray and sequencing technologies. It allows users to explore complex biological relationships and pathways, providing insights into gene expression, cellular function, chromatin accessibility, microbial diversity, and protein expression levels.

Partek Flow offers efficient sample tracking and workflow management for genomics labs, secure sequencing run management, and comprehensive analysis of NGS data. It integrates seamlessly with sequencers and supports flexible workflows, enhancing productivity and collaboration.

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

Meta

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