Data Dialogue: The persistence potential of mobile genetic elements
Mobile genetic elements (MGEs), such as plasmids, phages, and transposons, play a critical role in mediating the transfer and maintenance of diverse traits and functions in microbial communities. This role depends on the ability of MGEs to persist. For a community consisting of multiple populations transferring multiple MGEs, however, the conditions underlying the persistence of these MGEs are poorly understood. Computationally, this difficulty arises from the combinatory explosion associated with describing the gene flow in a complex community using the conventional modeling framework. Here, we describe an MGE-centric framework that makes it computationally feasible to analyze such transfer dynamics. Using this framework, we derive a general, heuristic metric that predicts the persistence and abundance of any MGEs. We call this metric the persistence potential. We validate the metric by using engineered microbial consortia transferring mobilizable plasmids, and by the quantitative data available in the literature. Our modeling framework and the resulting metric have implications for developing quantitative understanding of natural microbial communities and for guiding the engineering of microbial consortia utilizing gene transfer.
Bass Connections Fair
Learn more about the 2020-2021 Bass Connections project teams before the application deadline. Stop by to talk with team leaders, Bass Connections staff and members of the Student Advisory Council to learn more about new project opportunities and the benefits of participation. Students can also talk with Directors of Academic Engagement as well as representatives from the Story+, Data+ and Design+ summer programs. Refreshments will be provided.
CDVS Workshop: Introduction to Web Mapping
This introductory workshop will teach you how to easily build interactive, online maps. We will start by discussing general mapping concepts and technologies related to web mapping. For the rest of the workshop, we will go through step-by-step tutorials for ArcGIS Online, a web-based mapping platform. Topics include making online maps from tabular data, creating and styling maps, publishing web applications, and using basic spatial analysis tools.
CDVS Workshop: Research Data Management 101 for Social Scientists
Social scientists work with lots of data in their research, be it qualitative or quantitative, primary or secondary. This workshop will introduce data management practices for social scientists to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented through a social sciences lens using discipline-based, concrete examples. During the workshop, participants will also engage in discussions with their peers on data management concepts as well as learn about one specific tool as a method to assess how tools can enable specific data management practices. The tool explored in this workshop will be OSF - a comprehensive data and project management workflow tool.
CDVS Workshop: Intro to QGIS
Are you looking for an open source option for GIS to make maps or to analyze geospatial data? In this workshop we will demonstrate how to import and analyze data in QGIS and discuss the benefits of using QGIS over other GIS software. In the process, we'll go over some general GIS concepts such as layers, types of GIS files, and projections, with an emphasis on feature (vector) layers. This is an introductory class, and no prior GIS experience is needed.
CDVS Workshop: Visualization in R using ggplot2
Data science skills are increasingly important for research and industry projects. With complex data science projects, however, come complex needs for understanding and communicating analysis processes and results. Ultimately, an analyst's data science toolbox is incomplete without visualization skills. Incorporating effective visualizations directly into the analysis tool you are using can facilitate quick data exploration, streamline your research process, and improve the reproducibility of your research. n this workshop we will focus on ggplot2, a library for R that creates clear and well-designed visualizations and that plays well with other tidyverse packages. While prior experience with ggplot2 and with other tidyverse packages is not required, some basic familiarity with R is expected. Please consider attending (or viewing a recording of) our Introduction to R workshop before attending this workshop on ggplot2.