Articles

  • Dr. Wencke Walter
    vom 10.02.2020
    Genomic & Transcriptomic Data Visualization

    Estimated reading time: 9 minutes

    Visualization of genomic and transcriptomic data is essential to easily exploring those large datasets for interpretation and hypothesis generation and can further help to uncover hidden patterns and trends. With the ongoing development of sequencing and computer technologies, it has become feasible for scientists and clinicians to reliably collect large amounts of high-quality sequence information from DNA and RNA molecules. The analysis and interpretation of such datasets are now routine aspects of many research projects in biology and medicine, creating a need for new tools and methods to also visualize the data and the findings.

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  • Dr. Wencke Walter
    vom 03.12.2019
    Analysis of pharmacogenomic variants by WGS data for AML patients with altered response to treatment

    Estimated reading time: 4 minutes

    With the decrease of sequencing costs, the number of freely available "omics" data sets also increases, opening a nearly unlimited quantity of molecular genetic information. For the last decades the classical way of elucidating multifaceted molecular networks of diseases has been to break down the system into smaller, more traceable parts.

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  • Dr. Wencke Walter
    vom 02.12.2019
    AML and MDS – the ever-expanding potential of genetics to define clinically relevant subclasses

    Estimated reading time: 6 minutes

    For nearly half a century acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS) have been separated according to the percentage of bone marrow blasts. However, the last ten years have shown that the incorporation of genetic information in the classification improves its accuracy in diagnosis and prognosis.

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  • Dr. Wencke Walter
    vom 18.11.2019
    Large-scale sequencing experience from the MLL 5K project

    Estimated reading time: 5 minutes

    The project was started in 2017 with the aim to sequence the genome and transcriptome of 5,000 patients with haematological malignancies, in order to obtain a more in-depth knowledge of their molecular profiles to better understand the underlying complexity, to refine diagnosis, and also to take another step in the direction of personalized medicine.

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