Learn from a data scientist at Olink how to get the most out of your Olink® data. The following topics will be covered in this webinar: how to use Olink data, the statistical analysis pipeline, and combining Olink data with other “omics” data.
Olink data is a quantified immunoassay with qPCR or next generation sequencing (NGS) readout, and the data can be analyzed in the same manner that other expression data are analyzed. Olink data are represented as normalized protein expression (NPX) on a log2 scale.
The statistical analysis pipeline occurs in four phases, including data acquisition and cleaning, exploratory data analysis to ensure that the data look as expected, statistical analysis, and biological interpretation. Finally, a published multiomics study using Olink technology is presented, which integrated Olink data with mass/flow cytometry, RNA-seq, CITE-seq data in COVID-19 research. The Olink data were validated with conventional enzyme-linked immunosorbent assay (ELISA). This study demonstrates that Olink data complements other omics data to obtain biological insights.
The webinar covers the following points:
While NPX is relative, it is based on a concrete quantitative scale since an increase in 1 NPX is equivalent to ~2x increase in protein expression
Olink provides some software packages for analyzing Olink data for free
Olink offers custom biostatistical services for a fee, which can include pathway enrichment analysis, extraction of known protein connections, and text mining
Olink data can be integrated with other omics data for multiomics research to gain new biological insights.
Emmett Sprecher Senior Field Data Scientist, Olink Proteomic