Jnimmers Week 12/13

Electronic Lab Notebook

Purpose

This week, Naomi Tesfaiohannes and I assisted the Data Analysis team in the creation of the spreadsheet that will be used in the analysis and coding of our groups data work. The purpose of this was to prepare the Excel document for further analysis, understanding and to further the group's project to be worked on by the coding team.

Methods

• Create a shared excel sheet online.
• Convert the gene names provided by the paper and convert them to their ORF names through the "ORF List <-> Gene List" tool at YEASTRACT.
• Make sure that the Standard ID and Systematic names were both available in the data table
• Next week, the Quality Assurance team will work with the Coder/Designers in order to verify the ANOVA tests and sanity checks done by the Data Analysts

Data & Files

Excel Spreadsheet with ANOVA Results

Conclusion

A number of deliverables were created and started by our group including the Excel spreadsheet and the ANOVA test/sanity check. Next class the ANOVA test will be rechecked for any errors and the process towards creating the GRNMap will begin.

Acknowledgements

• I would like to thank Dr. Kam D. Dahlquist for her continued support and instruction for this assignment. She assisted my team with the understanding of our paper's data and allowed for us to move forward with our analysis.
• I would like to thank my partners The Sufiknights for working together with me on this assignment as we prepare our deliveribles and our final project presentation.
• Except for what is noted above, this individual journal entry was completed by me and not copied from another source. Jnimmers (talk) 19:18, 25 November 2019 (PST)

References

• LMU BioDB 2019. (2019). Week 8. Retrieved November 25, 2019, from https://xmlpipedb.cs.lmu.edu/biodb/fall2019/index.php/Week_8.
• Thorsen, M., Lagniel, G., Kristiansson, E., Junot, C., Nerman, O., Labarre, J., & Tamás, M. J. (2007). Quantitative transcriptome, proteome, and sulfur metabolite profiling of the Saccharomyces cerevisiae response to arsenite. Physiological genomics, 30(1), 35-43. DOI: https://doi.org/10.1152/physiolgenomics.00236.2006