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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 their data confidently.

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. 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: Easy-to-use tools for analyzing multiomic data sets without requiring advanced bioinformatics skills.
  • Powerful Statistics: Industry-standard statistical methods ensure trustworthy results.
  • Interactive Visualizations: Information-rich and publication-ready visualizations for data exploration.

Partek Flow can be deployed on-premises or in the cloud, supporting both microarray and sequencing technologies. It provides efficient sample tracking, workflow management, and secure data storage, facilitating seamless sequencing operations.

The software offers various subscription options, including Lab and Enterprise Editions, with features such as 1 TB of data storage, user management, and project collaboration capabilities. Additional tools for pathway analysis and single-cell and spatial data analysis are available as add-ons.

Partek Flow's comprehensive capabilities make it a valuable resource for researchers aiming to explore complex biological relationships and gain insights into gene expression, cellular function, and microbial biodiversity.

Meta

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