{"id":554,"date":"2020-05-25T11:13:41","date_gmt":"2020-05-25T18:13:41","guid":{"rendered":"http:\/\/blogs.reed.edu\/compbio\/?p=554"},"modified":"2020-05-25T11:13:41","modified_gmt":"2020-05-25T18:13:41","slug":"summer-2020-research","status":"publish","type":"post","link":"https:\/\/blogs.reed.edu\/compbio\/2020\/05\/25\/summer-2020-research\/","title":{"rendered":"Summer 2020 Research"},"content":{"rendered":"\n
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“Stay Home, Save Lives” ad campaign<\/a> by Oregon Gov. Kate Brown.<\/figcaption><\/figure>\n\n\n\n

This summer will not look like any other. Yet, undergraduate research continues! At a time when experimental labs are shut down and figuring out how to reopen, computational biology can provide an opportunity for trainees to learn a new skill while at home.<\/p>\n\n\n\n

This summer, there are a bunch of projects in the compbio lab, with a large focus on developing tools for public use.<\/p>\n\n\n\n

CS junior Alex Richter<\/strong> will be implementing our recent hypergraph connectivity algorithm<\/a> for use with the ReactomeFIViz app<\/a>, which analyzes and visualizes signaling pathways from Reactome<\/a>.<\/p>\n\n\n\n

CS senior Aryeh Stahl <\/strong>will be exploring how to best weight protein-protein interaction networks (such as the HIPPIE interactome<\/a> among others) and how to integrate high-throughput experimental data in these networks.<\/p>\n\n\n\n

Biology junior Frank Zhuang<\/strong> will be picking up Tayla’s project from last summer,<\/a> working with me and Kara Cerveny<\/a> to computationally identify retinoic acid response elements (RAREs) in zebrafish.<\/p>\n\n\n\n

CS senior Jiarong Li<\/strong> will be returning to the lab, but unlike last summer<\/a> she will be working alongside Reed’s Computing & Information Services<\/a> to explore feasible cloud compute platforms for college research across disciplines.<\/p>\n\n\n\n

CS sophomore Larry Zeng<\/strong> will be developing a tutorial about network algorithms for molecular systems biology. The tutorial, designed for biologists, will be designed for researchers to learn more about networks visualized by GraphSpace<\/a>, an interactive graph sharing platform.<\/p>\n\n\n\n

Finally, three post-baccalaureate researchers will be working on computational biology research.<\/p>\n\n\n\n