2019 Study Materials

Genomics

Here is a link to a google drive folder of helpful study materials for the contest: https://drive.google.com/drive/folders/1mJWUrFqABBBZhd4Mp1plQGG22cOF1YHk?usp=sharing

 

Topics

Focus: human

DNA, RNA, proteins with emphasis on nucleic acids

Transcription, translation, and RNA processing (editing and splicing)

Basic knowledge of technologies measuring DNA sequences, RNA expression, and protein amount.

 

Lecture slides from “Computational Biology Camp for High School Students”

 

DNA RNA Proteins on August 21, 2012

Gene Expressions on August 22, 2012

 

Additional lecture slides from the One day camp on January 29, 2013

 

additional DNA-RNA-Protein measurement

Genes in Diseases

 

Computational research section

UCSC Genome Browser Demo (A student prepared for others)

Genes in general (from the One day camp on January 29, 2013)

Using GEO2R to find biomarkers (from Saturday miRcore volunteer meetings)

 

Disease of focus: Pancreatic Cancer

Topics

Diagnostics

Types

Symptoms

Treatment

Genes and Environments

Social impact

 

Student-prepared Pancreatic Cancer Slides

To be updated

 

 

An example of tasks for the computational research session:

  1. Identify a gene related to the increased risk of developing late-onset Alzheimer’s with specific DNA sequences. This gene is on chromosome 19 and one of the four forms of this gene accounts for about 40 percent of all cases of late-onset Alzheimer’s.Write its general symbol, not differentiating the four forms.
  2. Identify the function of the gene  (helpful sites: http://www.genecards.org, http://www.ncbi.nlm.nih.gov/gene)
  3. Find its genome position (helpful sites: http://genome.ucsc.edu/cgi-bin/hgGateway, http://www.ncbi.nlm.nih.gov/gene)
  4. What is the total number of transcribed sequences?
  5. Find the mRNA sequences. No need to worry about U/T conversion or upper/lower cases. T will be considered as U (helpful sites: http://genome.ucsc.edu/cgi-bin/hgGateway,http://www.ncbi.nlm.nih.gov/nuccore).
  6. Find only coding sequences among the mRNA sequences. No need to worry about U/T conversion or upper/lower cases. T will be considered as U (helpful sites: http://genome.ucsc.edu/cgi-bin/hgGateway: use “Genomic Sequence” rather than “mRNA” sequence for this task, http://www.ncbi.nlm.nih.gov/nuccore).