Gene Sapiens
GeneSapiens bioinformatics group provides unique data analysis options and capabilities using an extensive in-house database of the human transcriptome. This database is the world’s largest fully integrated and annotated human gene expression data source.
The database contains a multitude of annotation information for each sample, including tissue of origin and detailed cancer type and histological details. All genes are fully comparable across all samples.
Top Publications
- Best Detox Shampoos for Hair Drug Test: Expert Guide
- Test Clear Urine: Complete Guide to Synthetic Urine
- Best THC Detox Drinks: Expert Guide to Passing Tests
- How to Pass a Saliva Drug Test: Complete Guide
- Certo and Gatorade Drug Test Method: Does It Really Work?
- How to Flush Your System for a Drug Test: Science-Backed Guide
- Best Fake Pee: Expert Guide to Synthetic Urine
- Oral Clear Gum Review: Does It Really Work?
- Incognito Belt Reviews: Complete Analysis & Insights
- Sub Solution Synthetic Urine: Expert Review & Analysis
- Monkey Whizz Urine Review: Reliability Tested
- Toxin Rid Detox: Complete Expert Review & Guide
- Zydot Ultra Clean: Expert Review & Effectiveness Guide
- Keep Urine Warm for Drug Test: Complete Guide
- Old Style Aloe Toxin Rid Shampoo: Expert Review & Guide
- Frequently Asked Questions About Emergency Detox for Workplace Testing
- Top Emergency Detox Strategies Backed by Science: What Really Works?
- Preparing for Workplace Drug and Toxin Tests: The Role of Genetics and Detox
- Emergency Detox: What Happens to Your Genes During a Sudden Cleanse?
- How to Interpret Gene Expression Data for Personal Health and Detox Planning
- Common Myths and Facts About Detox Strategies in the Modern Workplace
- The Science Behind Rapid Detoxification: Insights from Transcriptome Research
- Beginner’s Guide to Understanding Workplace Toxin Exposure and Your Genes
- Practical Applications of Gene Expression Analysis in Occupational Health
- Genetic and Epigenetic Factors Affecting Individual Detox Capacity
Data currently from 5 different Affymetrix array generations
- 10 000 samples with an average of
- 11 500 genes profiled per sample
Comprising of
- 43 distinct healthy tissue types and
- 68 distinct malignant tissue types and
- 64 distinct non-tumor diseases
Which are distributed as follows
- 70% are malignant tumor samples,
- 19% are healthy tissue samples and
- 11% are from other diseases
Extensive data mining options that take full advantage of comparability of data across both genes and samples:
- Plots of gene expression across the entire tissue spectrum
- Co-expression plots between genes
- Discovery of new targets for known drugs
The entire human transcriptome at your fingertips.