Partek
Partek provides bioinformatics software for genomic data analysis, supporting applications like Single Cell and Bulk Multiomics, Proteomics, and Spatial Transcriptomics.
Services
Partek offers bioinformatics software tailored for researchers who need to analyze genomic data. Their suite of software solutions, including Partek Flow, Partek Pathway, and Discovery Services, supports Single Cell and Bulk Multiomics, Proteomics, and Spatial Transcriptomics applications. The company provides trial and demo requests, enabling potential users to explore the capabilities of their software. Expert scientists are available for consultation, offering support to users needing guidance with their research tasks such as variant detection, CNV analysis, and methylation analysis.
Products
Partek's key products include Partek Flow and Partek Pathway. Partek Flow is designed for next-generation sequencing data applications, allowing researchers to conduct a range of analysis tasks. Partek Pathway supports the exploration of biological relationships and pathways, giving users insights into complex biological interactions. These products are highly regarded in the research community and are frequently cited in academic publications.
Applications
Partek software is versatile, supporting various applications such as Single Cell and Bulk Multiomics, Proteomics, and Spatial Transcriptomics. Researchers can utilize Partek’s tools to perform variant detection, CNV analysis, and methylation analysis. Whether analyzing single cells or complex multiomic datasets, Partek provides the computational support needed for a variety of genomic studies.
Research and Publications
Partek's software solutions are widely recognized in the scientific community, with their tools cited in over 9,000 peer-reviewed articles. This extensive citation record underscores the relevance and trust researchers place in Partek’s products for their genomic analysis needs. The company also hosts webinars and events, contributing to the ongoing education and development of genomic analysis techniques.