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Bioinformatics Research and Collaboration in the Era of Big Data and Precision Medicine

As we have entered the precision medicine and big data science era, there are many unmet challenges on identifying the disease related information from large, heterogeneous data, and translating the findings for clinical use. Among these challenges, one is how to effectively identify driver mutations and genes in cancer genomes, especially those with the potential

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Virtual Campus Visit with NSF CISE AD Dr. Margaret Martonosi

The National Science Foundation (NSF) supports a majority of US academic research in the Computer and Information Science and Engineering (CISE) topic areas. Since February, 2020, Dr. Margaret Martonosi serves as NSF CISE AD, stewarding the CISE directorate’s $1B annual budget on behalf of research, education, workforce and infrastructure funding in CISE topic areas and for science as

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Purdue’s New Plant Sensor Technologies for Improved Phenotyping Quality

Plant phenotyping technologies have been developing rapidly over the last 2 decades. Plant sensors are becoming more precise, faster, easier to use and with lower cost. However, there are still several bottleneck issues in plant sensing, including the changing environmental conditions, the great variances on the plant, and the complicated GxTxEinteractions. These issues keep phenotyping difficult

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Building a Population-based Childhood Cancer Data Ecosystem: Challenges and Opportunities for Informatics and Data Science

Childhood cancer is a relatively rare disease diagnosed in over 16,000 U.S. children and adolescents (ages 0 – 19) each year.  While 84% of children with cancer survive 5 years or more, cancer remains the second leading cause of death in children after accidents. Molecular variations make all childhood cancers extraordinarily rare and difficult to study.  The

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