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Dr. Wencke Walterfrom 10.02.2020Genomic & 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.
Dr. Wencke Walterfrom 03.12.2019Analysis 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.
Dr. Wencke Walterfrom 02.12.2019AML 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.
Dr. Wencke Walterfrom 18.11.2019Large-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.