Shannon Saad - Self-Assessment - Module 1 S2 (REPOST)
1) Things Learned:
- Rstudio: Basic packages, ggplots package, and operations of different parts
- Github: Made account, learned how to contribute to projects
- R Programming: basics of coding language, statistical aspect, played around with graphs, and data analysis functions
- Scientific Papers: Efficient approach to read and fully understand paper
- Biology: Deeper understanding into function of microRNA and lncRNA within cells, process of finding prognostic markers for cancer in genes
- Sequencing: learned how microarrays and DNA sequencing work and how differential expression and transcriptomics works
- Rstudio: Platform for R programming
- Stem-away: Reading direction from mentors, asking for further help
- Github: Learned about platform for future team projects
- GEO2R: Used to analyze differential gene expression levels in diseased patients vs. control patients.
- Google: Searching for ways to set up Rstudio, meaning of error messages
- Youtube: Accessing Stem-Away videos and instructions, guidance from others in
- Time management: Learned to ignore distractions after they were slowing me down
- Willingness to ask for help: Contacted my mentor, Anya, when I was unsure of the next steps
- Direction following skills: Closely read and followed Rstudio and R program directions (introduction documents)
- Problem solving skills: Worked through problems that arose in programming using R by researching error messages, etc.
- Grit: Pushed through setbacks.
2) Achievement Highlights:
- Learned new programming language R with no prior experience
- Navigated RStudio, Github, GEO, and Stem-away site successfully.
- Met with with Team Lead Hale, other leads, and team (support system)
- Furthered my passion for bioinformatics as I better understand how it works to detect diseases and how it can be used in prevention.
3) Tasks Completed:
- Downloaded RStudio to my computer and got familiar with R programming even though I first needed to work through some problems getting the program running(functions, data analysis, etc.)
- Took notes on how microarray and DNA sequencing can be used in data analysis and can later lead to greater understanding of diseases.
- Joined Github and had an introduction to the platform.
- Analyzed a gene dataset using GEO2R in order to see different expression levels of genes for Alzheimer’s patients and controls, though I needed to do some further research on this site because I had trouble finding some of its features.