I studied the ins and outs of a research paper that looked at the correlation between expression of certain genes/miRNA/RNA to determine prognostic markers for colorectal cancer, familiarized myself with their data and the way it was structured, refreshed myself on how to code in Python and learned more about R, and familiarized myself with Slack/Calendar/etc… to help me know what I must do (still working on mastering navigating the Stem Away Website).
–Tools:
R, Python, Slack, Calendar, Stem-Away forums, and Critical analysis of scientific work.
–Soft Skills:
I explored Slack and Stem Away forums and learned how to effectively communicate across said modes of communication. I have not really talked with team members due to the fact that I do not have a mic compatible with my desktop, but I worked at communicating with the built in text services that Zoom and Meets have. I will work towards finding a mic in which I can use on the desktop so I can become more involved with the group.
Achievement Highlights:
Completed the basics of Python with little difficulty and completed R exercises and gained a better understanding.
Read through the paper and understood the fundamentals and worked towards a comprehensive understanding of it.
I set up all my accounts on my desktop so that I can be informed and aware of events
Meetings Attended:
Attended all the team meetings (team 4 then gene team)
Attended all the technical training sessions
Attended/watched all the R training sessions
Missed the Python training but watched the videos
Attended logical webinar 6/10, and office hours 6/11
Furthered knowledge in R and practiced applying it to tasks in the week one deliverable. Finished the week one deliverable which required understanding of the figures generated using arrayqualitymetrics().
-Tools:
R, Python, Slack, Calendar, and Stem-Away forums.
-Soft Skills:
I got a mic and began to participate more within the small teams that the leads split us into. I also began to talk in the big group meetings. I will work forth to participate more because while I am beginning to participate, I am not contributing as much as I could.
Achievement Highlights:
Successfully applied the R training to the quality control of the data.
analyzed and understood a scientific paper on the potential of prognostic markers within the expression of genes for colorectal cancer
Learned the fundamentals of R code and the various packages that where used to analyze the data (ex: Limma, ggplot, enhancedvolcanoplot, affy, annotationdbi, and etc…)
Learned the fundamentals of Python to construct plots using Pandas, seaborn, and matplotlib
Understood and created plots that aided us in our analysis (ex: NUSE, PCA, volcano plots, heatmaps, and etc…)
Used existing databases to further look into the interactions and purposes the deferentially expressed gene have within our bodies
Tools:
R, Python,Jupyter Notebook, Slack, GitHub, EnrichR database, DAVID database, String analysis, Asana, Google Calendar, and Stem-Away forums.
Soft Skills:
Learned how to network through the use of LinkedIn, verbal, and written communication
Worked in small groups in an online environment
Learned to communicate effectively with team mates in order to finalize an interpretation of a concept
Worked on presentation skills
Achievements:
Contributed to the group effort of understanding bioinformatics
Developed skills that facilitate the expression of ideas and acquisition of mentorship within a growing field
Developed technical skills such as the use of R code, Python, and R packages
Exercised and improved skills pertaining to research and understanding scientific language
Honed skills that help communication and team work
Learned the methods and structure of gene analysis (ex: quality control, filtering, and etc…)