Welcome to Prophage
Welcome to the Prophage blog 2.0! This is version 2.0 because it is a new location and structure of the original Prophage blog that started back in 2013. The old blog was very successful, with well over 100,000 views, but it was time to update the site.
This blog is written and maintained by Dr. Geoffrey Hannigan. Check out the latest blog entries below, navigate the site using the menu above, and check out the original Prophage here. Read more about Dr. Hannigan in the “about the author” section.
Five Key Considerations When Building A Data Science Team Building a data science team is hard. Here we explore what may lead to success. Learning To Code With Problem-Based Group Learning & LeetCode Our site recently got together to learn some Python through solving a problem. Impact of Bacterial Viruses on Cancer Immunity Bacteriophage molecular mimicry impacts chemotherapy and immunotherapy efficacy. Doing Group Science With The Agile Methodology Three helpful tips for managing large science projects using Agile/SCRUM. Empowering Science Through Organization (Bullet Journals) Science demands organization, and that’s not easy. I’ve found the bullet journal approach to be really helpful. Biosynthetic Potential of the Oral Microbiome in Dental Caries and Periodontitis A recently reported study outlines the biosynthetic functional potential of the oral microbiome. Bacterial Small Molecules Provide Defense Against Their Viruses A recently published study outlines a chemical mechanism for phage infection defense in bacteria. Recent Publication: The Colorectal Cancer Virome Our recent publication, as well as others, support a role for the gut virome (specifically bacteriophage) in colorectal cancer. Microbiome Natural Product Biosynthesis and Synthetic Orphans Discussion of a recent study that provides new insights into orphan biosynthetic gene clusters, and the implications of those findings for the human microbiome. Three Technologies With a Future In Computational Biology An overview of three technologies poised to make big impacts on the field of computational biology.