C Additional Curricula

Additional resources and curricula that may be of interest to instructors teaching the miniCURE. If you’ve got something to add, let us know! The C-MOOR team has not reviewed all of these materials, but we are happy to share resources that you find helpful.

Also don’t forget to check CourseSource for a large collection of biology curricula covering a wide range of topics, including many CUREs.

Additional C-MOOR Curricula

miniCUREs and CUREs by the C-MOOR team, covering different types of bioinformatic analyses. Contact us if you’d be interested in partnering with us to develop and test these materials.

Name Topic(s) Length Status
16S Microbiome miniCURE Microbiome 3 labs + Project Work Under development
Microbial Mysteries Metagenomics 1 semester beta-testing
scRNA-seq CURE Single-cell RNA-seq 1 semester piloted

Expanding on the RNA-seq Process

Additional CUREs for instructors who wish to explore different research questions or go into more depth on various parts of the RNA-seq process.

Name/Research Topic Length Wet Lab Computing
Maize response to abiotic stress 3 weeks Yes Yes (R)
Effect of sequencing quality on inference of sex differences in gene expression in human placenta 7.5 weeks CURE, required 7.5 week pre-req computing course No Yes (R)
Plant response to light 1 semester Yes Yes (Cyverse,R)
Yeast environmental stress response 2 semesters Yes ?

Other Genomics miniCUREs

miniCUREs focusing on different types of genomic analyses.

Name/Research Topic Length Wet Lab Computing
Genomics Education Partnership (Drosophila genomics) flexible No Yes (many options)
Nanopore Sequencing to Assemble and Compare Chloroplast Genomes 2-3 weeks Yes Yes (Notebook-based pipeline)
Allen Brain Map 4 weeks No Yes (GUI)
San Diego Biodiversity Project (DNA barcoding of invertebrates) 1 month Yes Yes (varied across institutions)
Bean Beetle Microbiome Project 6 weeks or 12 weeks Yes Yes (6-week:BLAST, 12-week:DNA Subway, R)

Diving Deeper into R

We recommend thinking carefully about your goals for students with regards to coding and RNA-seq analysis, and where the miniCURE fits in their journey. We know this miniCURE only brushes the surface, and it is very tempting to add more. For our first-year students, we found that backing off on the coding helped give them bandwidth to concentrate on the biology and scientific thinking, with the goal of attracting them to semester-long classes that have space to go deeper. If you would like to dive a bit deeper into R, here are some useful resources:

Name Description
Additional learnR tutorials (available on SciServer and GitHub, along with the miniCURE materials) Variety of topics, including basics of vectors, dataframes, and functions as well as introducing R Notebooks.
Introduction to data analysis with R and Bioconductor Two day hands-on workshop
swirl Interactive tutorials for use in any R Console covering base R
R for Data Science Foundational book covering tidyverse

Additional Resources

Name Description
Understanding Science 101 Website explaining “how science works”
Next Generation Sequencing Quality Analysis with Emoji CourseSource lesson
RNA-seq Data Analysis Tutorial Using Galaxy CourseSource lesson
Analyzing RNA-seq data with DESeq2 DESeq2 vignette
Biomedical Knowledge Mining using GOSemSim and clusterProfiler clusterProfiler book
RNA-seq analysis with Bioconductor Two day hands-on workshop
R for Data Science Foundational book covering tidyverse