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Debora Marks is a computational biologist who develops methods to interpret genetic variation and protein structure from genomic data. She leads a new interdisciplinary lab at Harvard that aims to address challenges in biomedical research and synthetic protein design.
- Microfluidics Facility
The HMS microfluidics Core Facility aims to provide space...
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The HarvardKey system, and the systems, data, and other...
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SCi IS A SPACE FOR LEARNING, CONVERSATION, AND COMMUNITY. We...
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Faculty Research Areas. Our faculty take a quantitative and...
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Postdocs at Systems Biology reflect the rich diversity of...
- Microfluidics Facility
Debbie Marks Lab. Check out PopEVE (paper, online portal), our most recent work on population genetics! Discovery and design: learning from billions & billions of genomes, cells, and organisms. We build models to make sense of genetic variation and design biological tools for environmental and human health.
Debora Marks. Associate Professor of Systems Biology. One million human genomes, will it make a difference? The large and growing volume of genome information, from all forms of life, presents unprecedented opportunities for computational biologists. The challenge for our scientific generation is to turn an avalanche of sequence information ...
Dec 13, 2019 · To facilitate development and benchmarking of computational methods, we collect a set of 44 publicly available single-cell perturbation–response datasets with molecular readouts, including transcriptomics, proteomics and epigenomics. We apply uniform quality control pipelines and harmonize feature annotations.
Debora S. Marks Debora S. Marks. Professor, Department of Systems Biology Harvard Medical School. The overarching goal of my lab is to develop novel statistical ...
Debora S Marks; A major biomedical challenge is the interpretation of genetic variation and the ability to design functional novel sequences. Since the space of all possible genetic variation is ...
Debora S Marks. Debora is a mathematician and computational biologist with a track record of using novel algorithms and statistics to successfully address unsolved biological problems. She has a passion for interpreting genetic variation in a way that impacts biomedical applications. During her PhD, she quantified the potential pan-genomic ...
