Computational Biology Research - Gene Expression

Explore the UCSC genome browser to locate EGFR on chromosome 7 and view exons, introns, and the assembly’s coding sequence.

Explore how identical DNA yields different cell types through RNA expression and transcription, and learn how microarrays measure thousands of gene expressions via probe hybridization and fluorescent signals.

Learn to use the gene expression omnibus to locate microarray data for disease research, identify human datasets with clear two-group comparisons, and compare microarray with sequencing-based expression profiling.

Learn to compare gene expression between groups using microarray data, define up and down regulation, and use GEO2R to analyze Parkinson's datasets while handling outliers and assessing statistical power.

Explore how to assess gene expression differences using the t-test and p-value, including null hypothesis, means, standard deviation, and sample size to compare two groups.

Explore gene ontology to classify genes by go process, select top or regulated genes via p-value and log fold change, and compare biological process, molecular function, and cellular component.

Explore GeneCards to look up a gene, view aliases, expression patterns, disorders, pathways, and gene function, and connect findings to disease context.

Explore Guidice, a high school club that democratizes medical research through genetics projects, fundraising, and public outreach, while preparing members to present at conferences and start new clubs.