Alice MacQueen - Portfolio

This data science project portfolio showcases Alice’s work in data analysis, visualization, and modeling.

Using IGV and gnomAD to assess a putative autoimmune disease variant

ClinGen

IGV

gnomAD

Use IGV, ClinGen, and gnomAD to assess clinically relevant sequence variation near a self-reactive TCR target.

Using OLGA to simulate T-cell receptor sequence diversity to assess genomic assay biases

python

simulation

Use OLGA to simulate T-cell receptor sequence diversity as part of a workflow to understand & correct assay biases between production and in-development assay versions.

Visualize Multiple Overlaps with UpSet

R

data visualization

Visualize the relationships between many sets using the ComplexUpset package on switchgrass flowering date data

Modeling US Population Growth & Demography with a Novel Disease

R

SIR

logistic growth model

Using Logistic Growth Models to model US Population Demographic Changes with a novel (fictional) disease

Calculating narrow-sense heritability

rrBLUP

R

transform

model

descriptive statistics

Estimating the genetic component of yield using the rrBLUP package on switchgrass biomass data from a diversity panel