Undergrad Research Experience: Difference between revisions
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* Data set (to be sent) | * Data set (to be sent) | ||
* To Do | * To Do | ||
** 9/8/2020 12 noon: 5-slide presentation on background, material & methods, and data capture using ImageJ | ** Week 1. 9/8/2020 12 noon: 5-slide presentation on background, material & methods, and data capture using ImageJ | ||
** Week 2. 9/15: Create Excel sheet to capture immunoblot intensities on C3H mice & P.lucus. Capture background for each serum. Getting ready to makes plots in R/Rstudio | |||
==Project 3. Clostridium transcriptome analysis== | ==Project 3. Clostridium transcriptome analysis== |
Revision as of 18:04, 8 September 2020
Fall 2020
Participants
- 'Eamen Ho': Volunteer research assistant
- 'Ramandeep Singh': BIOL 48002
- 'Desiree Pante': BIOL 48001
- 'Afsana Rahman': Volunteer research assistant
- 'Roman Shimonov': BIOL 48002
- 'Justin Hiraldo': BIOL 48002
- 'Zaheen Hossain': Volunteer research assistant
Schedule
- Tuesdays at 12 noon - 2pm by Zoom
- Sept 1, 2020. Week 1. Meet & Greet; Intro to projects
- Sept 8, 2020. Week 2. Presentations (background, data, and methods), based on assigned readings
Project 1. Structure & evolution of multipartite genome of Lyme disease bacteria
- Participants: Desiree & Ramon
- Readings
- Review: deCenzo & Finan (2017).
- Data set: lp54 & cp26 plasmids
- TO DO:
- Week 1. 9/8/2020, 12 noon: 5-slides presentation on multipartite bacterial genome evolution (based on the paper above)
- Week 2. 9/15, 12 noon: Use prorgram codonO to calculate codon bias (SCUO) for replicons (n=23) on Borrelia burgdorferi B31 genome
Project 2. OspC Cross-reactivity analysis
- Participants: Justin, Roman
- Readings: Ivanova et al (2009)
- Tool: ImageJ
- Data set (to be sent)
- To Do
- Week 1. 9/8/2020 12 noon: 5-slide presentation on background, material & methods, and data capture using ImageJ
- Week 2. 9/15: Create Excel sheet to capture immunoblot intensities on C3H mice & P.lucus. Capture background for each serum. Getting ready to makes plots in R/Rstudio
Project 3. Clostridium transcriptome analysis
- Participants: Eaman, Zaheen
- Readings
- Data set: posted on "genometracker.org"
- Wild type transcriptome at 12 hour, paired-end read files:
- /home/azureuser/18134XR-29-01_S0_L001_R1_001.fastq.gz
- /home/azureuser/18134XR-29-01_S0_L001_R2_001.fastq.gz
- To Do
- 9/8/2020 12 noon:
- A short presentation on C. diff transcriptome (one of the 2 papers above)
- Demo on read quality using FastQC and mapping reads to reference genomes with bowtie
- 9/8/2020 12 noon:
Project 4. Protein classification using natural language processing
- Participants: Afsana
- Goal: Classify protein sequences
- Readings: