
Identify and explore contextual data in seconds with our best-in-class gene expression database, featuring the world’s greatest collection of highly curated ‘omics data.
Home > Bioinformatics Products Overview > Bioinformatics Tools and Applications > Content Exploration and Databases > QIAGEN OmicSoft Land Explorer
QIAGEN OmicSoft Land Explorer is a web-based gene expression database that gives you access to a trove of disease-focused ‘omics datasets (human, mouse, rat).
Within minutes, get insights into expression information and perform rich analyses on a broad set of ‘omics datasets.
Test gene association between expression level and patients’ overall survival, in one study.
Test whether gene expression level differs between tumor and normal samples.
Profile expression of multiple genes and find studies that detect differential expression of your gene.
Visualize gene expression and copy number variation.
Through our extensive gene expression database, you gain immediate access to thousands of disease-related ‘omics datasets, with robust, interactive and customizable visualizations.
Broaden your understanding of how inherited changes in genes lead to common diseases. Explore your gene(s) of interest in different tissues obtained from many different people.
Narrow your search for successful candidates and innovate faster. Explore gene expression in 51 different human tissues from the Genotype-Tissue Expression Project (GTEx). Increase your understanding of how changes in genes contribute to human disease with detailed expression and statistical data from thousands of curated studies.
Customize visualizations for many data types.
Dig deeper with QIAGEN OmicSoft Studio’s advanced Land analytic functions.
This QIAGEN OmicSoft gene expression database enables you to quickly find medically-relevant ‘omics datasets and biomarkers for oncology, immunology, neurology and more.
Designed for biologists to simply examine a target’s gene expression or mutation status across hundreds of disease categories.
Explore our vast gene expression database and start creating publication-quality graphical data on the genes of interest to you.