• Industry Track Record +

    All the senior employees have 6 to 10 years of clinical bioinformatics experience in pharmaceutical companies. Quartz Bio scientists have analysed biomarker data from over 80 clinical studies ranging from Phase I to Phase IV in different therapeutic areas (Oncology, Neurology, Rheumatology, Endocrinology and Fertility).
  • Publications and patents +

    We have a track-record of peer-reviewed articles and patents in the field of clinical bioinformatics. Read More
  • Biotechnological expertise +

    Our data analysis expertise spans across multiple biomarker technological platforms such as genetics, transcriptomics, protein assays and cellular assays. Read More
  • Computational expertise +

    We strongly believe that scientific excellence is driven by transparency and collaboration. All our analyses are performed using open source software.  Read More
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Multiple biomarker platforms

Biomarkers are the measurable characteristics of an individual. As such they differ not only in their nature but also in the way they are measured. We support the analysis of biomarker data collected from multiple biotechnological platforms. We integrate our biological and biotechnological knowledge in the quality control and analysis of data of each of these platforms.

Examples of supported platforms

DNA
Affymetrix GeneChip®
TaqMan®
HLA PCR-based assay
Affymetrix DMET Plus
Affymetrix GeneTitan®
Illumina® HiSeq/MiSeq
Illumina® GoldenGate
Sanger sequencing
FISH
RNA
Affymetrix 3’ IVT
TaqMan®
TaqMan® low density array
FLUIDIGM®
Affymetrix miRNA array
Illumina® HiSeq/MiSeq
TaqMan® miRNA
Nanostring
Proteomics
ELISA
Luminex®
Somalogic SOMAscan
IHC
MS SILAC
SILAC phospho-protein
Cell
CTC
BlueScreen HC
Flow cytometry
Phospho-flow cytometry

Computational expertise

We strongly believe that scientific excellence is driven by transparency and collaboration. All our analyses are performed using open source software. 

Statistical Programming

All the steps in our analysis pipeline are streamlined through statistical programming. Programming is a fundamental skill for Quartz Bio staff, which allows to continuously extend and improve our data analysis platform. We apply a test-driven approach to scientific computing.

Access to latest data analysis algorithms

Using open source software we provide our clients with the latest developments in data analysis algorithms and visualizations. We use R, one of the most cited statistical programming languages.

Reproducible Research

Using open source software makes it possible for our customers to re-perform and visualize the analyses without the need of additional software licenses. We build each analysis as a custom-made software. Using DOCKER, we ensure that the software is portable and deployable.

Driving the field

Quartz Bio actively contributes to open source software development, particularly in the R community.

Visit our GITHUB: https://github.com/quartzbio