Learning Objectives in Data, Team Research, and Tools
In this collection of images, the focus is on learning objectives, team research aims, tools, and workflows in the domain of wide data analysis. The images showcase technologies and tools utilized in mouse genome scans, DNA extraction, and contrast feature extraction for human research. Additionally, the workflow tools in the community developer setup, such as Python, Flask, and GNapi, are highlighted. The tasks involved in developing QTL2 packages, data extraction, and redesigning workflows are depicted, emphasizing the collaborative effort of researchers to enhance data architecture and improve genotype probability analysis. The learning objectives further emphasize training the next generation of scientists in disease risk models, treatment development, and digital learning modules for reproducible research practices in team environments.
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Presentation Transcript
data @ uw brian.yandell@wisc.edu team research aims learning objectives technology & tools wide data
team research aims mouse genome scan zoom in sample workflow compare allele scan DNA contrast extract features human
tools workflow domain community developer community web / app view python/flask web framework GNapi connects tools CL access GN runs tools R/intermediate ONL Beacon cores Guix manages packages R/qtl2 JAX cluster cores UW CHTC cores julia/Sen UT data UW data JAX data
qtl2 tasks develop GNapi (Prins, Broman, Sen) data extraction tools created data upload, workflow tools needed redesign qtl2 packages to use GNapi (Broman, Yandell) data extraction, upload, etc. CC and DO mouse SQL information doqtl2 pipeline develop auxiliary qtl2 packages (Broman, Yandell) qtl2ggplot, qtl2shiny, qtl2feature qtl2d3plot rethink qtl2 data architecture (Broman, Yandell, Sen) small master data object data source indirection rethink genotype probability object?
learning objectives training next generation of young scientists scalable integrative models disease risk and treatment develop digital learning modules blended / flipped learning environments data & software carpentry gateway to intermediate to advanced skills reproducible research in teams
