Flow logo

Flow

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

Solution by Partek
Visit website

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, requiring no advanced bioinformatics skills.
  • Powerful Statistics: Achieve reliable results using industry-standard statistical methods.
  • Interactive Visualizations: Explore data with detailed, publication-ready visualizations.

Partek Flow supports both on-premises and cloud-based installations, accommodating microarray and sequencing technologies. It offers efficient sample tracking and workflow management for genomics labs, secure sequencing run management, and comprehensive NGS data analysis.

The software facilitates the exploration of complex biological relationships and pathways, aiding in the discovery of meaningful biological insights. It also supports proteomics analysis to identify potential biomarkers for disease detection, diagnosis, and prognosis.

Partek Flow is available in different editions, including Lab and Enterprise, with options for Illumina or customer-hosted installations. Subscription options include annual and multi-year licenses, with additional add-on tools available for specific analyses such as pathway enrichment and single-cell spatial data.

Meta

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