Sample interview questions: How do you handle large-scale genetic data analysis?
Sample answer:
- Use appropriate software and tools: There are various software programs and tools available for handling large-scale genetic data analysis. Some commonly used tools include:
- Statistical software packages such as R, SAS, and Python
- Bioinformatics software such as Galaxy, CLC Genomics Workbench, and DNASTAR Lasergene
- Cloud-based platforms such as Amazon Web Services (AWS) and Google Cloud Platform (GCP)
- Data preprocessing: Before performing any analysis, it is essential to preprocess the data to ensure its quality and accuracy. This includes:
- Removing duplicate data
- Dealing with missing data
- Normalizing the data
- Filtering out low-quality data
- Exploratory data analysis (EDA): EDA is the initial step in any data analysis process. It helps you gain an understanding of the data, identify patterns and trends, and generate hypotheses for further investigation. EDA techniques include:
- Descriptive statistics
- Visualizations such as scatterplots, histograms, and box plots
- Dimensionality reduction techniques such as principal component analysis (PCA) and t-SNE
- Statistical analysis: Statistical analysis is used to test hypotheses and draw conclusions from the data. Common statistical methods used in … Read full answer