Cell fate decisions are largely driven by protein networks, although currently mRNA levels are widely used as a proxy for protein expression. Proteomics allows the quantification of global (at bulk and single cell levels) proteomes to provide direct molecular inference for cell functions. By analyzing the expression levels of different proteins in healthy and diseased tissues, researchers can identify potential biomarkers for early disease detection, diagnosis, and prognosis.
With an easy-to-use interface, Partek® Flow® provides comprehensive genomic and proteomic data analysis. You can import an ADAT file for Somalogic data, a .txt file for Olink data, a .txt(.csv)/.fcs file for mass cytometry data or Akoya spatial proteomics data, and perform various exploratory data analytic processes.