No compromise on data quality
Good science and effective research require highest quality data

The Problem

Thousands of genomic and transcriptomic studies have been published. Most of them are available in one or the other public repository. Unfortunately, there is a high heterogeneity of data due to the use of different technology platforms, data processing methods and different vocabularies. Moreover, many studies are poorly described when they are submitted to public repositories. As a result, a lot of time is wasted by researchers re-analyzing such studies. Moreover, there is no easy way to easily screen this huge amount of data to find patterns of interest, or to find results relevant for your genes or diseases of interest.

Our solution

At NEBION, we strongly believe that good science can only be achieved using highest quality data and well described experiments. Our goal is to make public data easily accessible to researchers, with powerful tools for screening thousands of studies to find relevant information. GENEVESTIGATOR is a powerful solution combining a deeply curated database with a high-performance search engine and user-friendly tools. All data integrated into GENEVESTIGATOR are quality controlled, normalized, and carefully annotated by experts using state of the art methods and by collecting detailed information from the corresponding publications. Our curators are typically PhD-level with an excellent track record in research. Experiments that do not pass our quality assessment criteria are not included. The GENEVESTIGATOR database contains curated microarray and RNAseq expression data from 17 organisms. It covers a wide variety of biological contexts such as tissues, diseases, genotypes or perturbations.
  • Mammalian species: over 200,000 samples from 500 diseases and 19 therapeutic areas, thousands of different drug/compound treatments, toxicology studies and a wide variety of experimental conditions.

  • Plant species: over 24,000 samples from Arabidopsis and several crop species (rice, maize, wheat, barley, rice, soybean, tomato, tobacco, Medicago and Physcomitrella).

  • Microorganisms: over 2,000 samples for yeast and E. coli.

To learn more about our curation and data normalization, please read:
  • Application Note - Data Curation [PDF]
  • Application Note - Data Normalization [PDF]

Since over 10 years, our curation teams have carefully annotated thousands of transcriptomic experiments from: