Matthew E. Jurek Week 14

Matthew E. Jurek BIOL398-03/S13

Assignment Page

• BIOL398-03/S13:Week_2
• BIOL398-03/S13:Week 3
• BIOL398-03/S13:Week 4
• BIOL398-03/S13:Week_5
• BIOL398-03/S13:Week_6
• BIOL398-03/S13:Week_8
• BIOL398-03/S13:Week_9
• BIOL398-03/S13:Week_11
• BIOL398-03/S13:Week_12
• BIOL398-03/S13:Week_13
• BIOL398-03/S13:Week_14

User Page

• Matthew E. Jurek Week 2
• Matthew E. Jurek Week 3
• Matthew E. Jurek Week 4
• Matthew E. Jurek Week 5
• Matthew E. Jurek Week 6
• Anthony J. Wavrin/Matthew E. Jurek Metabolic Pathways Project
• Matthew E. Jurek Week 8
• Matthew E. Jurek Week 9
• Matthew E. Jurek Week 11
• Matthew E. Jurek Week 12
• Matthew E. Jurek Week 13
• Matthew E. Jurek Week 14
• Final Presentation

Electronic Laboratory Notebook

1. . Began by opening the sample data and renaming it to Jurek_Week14 before beginning manipulations.
2. .My network consists of 23 transcription factors based on the Week 12 Assignment. The Regulation Matrix has been copied onto the 3 appropriate worksheets: network, network_weights, and network_thresholds. The transcription factors are not in alphabetical order, rather I will keep them in the order generated by Yeastract, ensuring each worksheet utilizes the same order. Following the important step in, HMO1 was deleted from my network as that is the gene I was assigned. My worksheets have been adjusted accordingly.
3. The standard names have been copied and pasted into Yeastract. I have now received the systematic name and have placed them in the appropriate column. The degradation rates are being explored according to the Belle et al. data. Only about 4 transcription factors are not on this list, thus warranting a rate of .027182242.
4. Production rates have been found by creating a column next to the degradation rates. A formula has been applied that multiplies these values by 2. With the degradation rates doubled, I now have the production rates. These will be copied and pasted on the production_rates worksheet.
5. Both the systematic and standard names of the transcription factors have been pasted into the log2_concentrations sheet. I will now use the control F function to find all 23 transcription factors in my network. This function is useful as there are over 6000 entries on the Week 9 spreadsheet that I am using. After locating the appropriate transcription factor I have been copying and pasting the average log fold change for the cold shock data (time points 30,60, and 90). This will be repeated 23 times until the worksheet has all this info.