QIAGEN OmicSoft and Biomedical Knowledge Base

Supporting Biomarker Discovery One Cell at a Time - Introduction to QIAGEN OmicSoft Single Cell Lands Part 1

April 06, 2021
Single-cell gene expression analysis helps biologists and bioinformaticians reveal complex and rare cell populations, uncover regulatory relationships among genes and analyze and visualize gene expression differences among different cell types, or within a unique cell type. In this talk we will explore new tools for analyzing, interpreting and explore scRNA-seq data and the underlying biology. We will also show how to integrate ‘omics datasets from different platforms to gain insights into the biology and molecular drivers of specific cell populations.
How to analyze scRNA-seq data without a bioinformatician or learning code.
How to leverage automatic cell annotation to streamline your workflow.
How to quickly comb millions of cells to identify

Click here to learn more.

Related videos

QIAGEN OmicSoft and Biomedical Knowledge Base

Human-certified ‘omics data to power drug discovery

158 views February 24, 2022

Integrating external and internal ‘omics data is a key element of hypothesis...

QIAGEN OmicSoft and Biomedical Knowledge Base

Drug Target and Biomarker Investigation using OmicSoft OncoLand

264 views February 01, 2022

In this 90-minute training, attendees will learn how to use basic expression...

QIAGEN OmicSoft and Biomedical Knowledge Base

Discoveries from public immuno-oncology studies using Omicsoft and Ingenuity Pathway Analysis

41 views January 12, 2023

This training will focus on how QIAGEN Omicsoft Studio and Ingenuity Pathway...