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Research

Our group develops computational methods for understanding the dynamics, interactions and conservation of complex biological systems. As new high-throughput biological data sources become available, they hold the promise of revolutionizing molecular biology by providing a large-scale view of cellular activity. However, each type of data is noisy, contains many missing values and only measures a single aspect of cellular activity. Our computational focus is on methods for large scale data integration. We primarily rely on machine learning and statistical methods. Most of our work is carried out in close collaboration with experimentalists. Many of the computational tools we develop are available and widely used.

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Latest Publications

Full list of publications

News

  • 06/2011

    Communications of the ACM featured a long article covering our work on biology-inspired networking and computing. The story discusses our recent MSB and Science papers which provide examples of bi-directional studies that attempts to understand biological systems while at the same time help improve networking and distributed computing algorithms.

  • 05/2011

    Group member Marcel Schulz is the winner the 2010 Otto Hahn medal, awarded by the Max Planck Society to young scientists and researchers for outstanding scientific achievement. Marcel received the medal for his Ph.D. thesis carried out under the supervision of Prof. Martin Vingron, entitled 'Data structures and algorithms for analysis of alternative splicing with RNA-seq data.' 26 medals representing the top 3% of all Ph.D students from 2010 among the nearly eighty Max Planck Institutes were awarded this year. Marcel is a Lane follow in our group.

  • 03/2011

    Henry (Tienho) Lin defends his thesis and earns a PhD degree! Henry joined the eScience Research Group at Microsoft Research as a postdoc.

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