Researchers in varied disciplines resort to using remote sensing data for forecasting/prediction, measuring outcomes, analyzing trends. Apart from acquainting themselves with different kinds of data, they are also required to build knowledge of different principles and theories which requires collaboration. This presentation will address and promote dicussion around limitations of remote sensing data and possible ways to work around common issues.

Genomics and bioinformatics tools have transformed breeding for staple crops and animals over the past decade, yet most smaller breeding programs have been left behind due to limited resources and high costs of adoption of new technologies. Breeding Insight (BI) was established as a full-service conduit for the development and adoption of high-tech genotyping, phenotyping, and data management tools into small breeding programs.

The nucleus of every organism on the planet is composed of DNA and interacting protein. The specific positioning and organization of these proteins constitutes the epigenome and is responsible for maintaining and proliferating life. Using the high-resolution ChIP-exo assay, we have generated thousands of unique datasets that describe this protein organization in Saccharomyces cerevisiae (yeast). The depth and complexity of the data generated required the development of novel systems to both track sample metainformation, and provide a mechanism for reproducible analysis. This presentation will describe the methodologies developed during this project to track, reproducibly analyze, and disseminate large-scale genomic data.