Multi Omics Data Integration – A translational perspective
December 7 @ 13:15 – 14:00 CET
The forefront of deriving valuable insights into cellular functions involves the analysis of multi-omics data along with clinical information. The integration of multi-omics data, which encompasses information from diverse biomolecular layers, holds promise for systematically and comprehensively understanding complex biology. Integrated approaches involve combining individual omics data either sequentially or simultaneously, offering a means to explore the intricate interplay of molecules. This method proves valuable in assessing the flow of information across omics levels, thereby bridging the gap from genotype to phenotype. Integrative approaches, through their holistic examination of biological phenomena, have the potential to enhance prognostic and predictive accuracy for disease phenotypes. Consequently, they stand to contribute significantly to improved treatment and prevention strategies. In this talk I will show multiple approaches to integrate diverse data types and how we can use them in a translational medicine.
Animesh Acharjee, PhD
Assistant Professor, Institute of Cancer and Genomic Sciences, University of Birmingham, United Kingdom
Biography
Dr. Acharjee’s research interests encompass integrative data analytics, predictive biomarker discovery, bioinformatics methods for diagnostics, and network biology. His multidisciplinary approach reflects his commitment to bridging the gap between computational methodologies and biological insights. Throughout his illustrious career, Dr. Acharjee has been recognized with numerous fellowships, including those from the British Council, the Dutch Government, and Newton fellowships. These accolades underscore his dedication to advancing scientific knowledge and his contributions to the fields of bioinformatics, data analytics, and biostatistics. Dr. Acharjee’s journey continues to be marked by a relentless pursuit of excellence in research and a commitment to unraveling the intricacies of metabolicdiseases through innovative methodologies.
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