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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 a comprehensive bioinformatics solution designed for the analysis and visualization of multiomic data. It offers an intuitive interface that allows researchers of all skill levels to confidently analyze next-generation sequencing and large-scale multiomic datasets. The software supports a wide range of applications, including bulk RNA-Seq, single-cell analysis, spatial transcriptomics, ChIP-Seq, ATAC-Seq, DNA-Seq, metagenomics, and microarray data.

Key features of Partek Flow include:

  • Intuitive Interface: Analyze multiomic datasets with user-friendly tools, eliminating the need for advanced bioinformatics skills.
  • Powerful Statistics: Utilize industry-standard statistical methods to achieve reliable results.
  • Interactive Visualizations: Explore data with rich, publication-ready visualizations that facilitate real-time interaction and collaboration.

The software is compatible with scalable DRAGEN secondary analysis and offers flexible installation options, catering to individual users, core laboratories, and large enterprise organizations. It can be deployed on-premises or in the cloud, supporting both microarray and sequencing technologies.

Partek Flow enables researchers to delve into complex biological relationships and pathways, providing insights into gene expression, cellular function, chromatin accessibility, microbial biodiversity, and protein expression. It also supports efficient sample tracking and workflow management for genomics labs, ensuring secure and efficient sequencing operations.

Subscription options include Lab and Enterprise Editions, with features such as data storage, user management, and project collaboration. Additional tools for pathway enrichment and single-cell analysis can be purchased as add-ons.

Meta

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