UCSC Genome Browser

1. Upload patient's variant data to the Genome Browser as a custom track.

2. Visualize the variants in the context of gene annotations and regulatory elements.

3. Use the Table Browser to filter variants based on frequency and predicted impact.

4. Investigate candidate mutations in more detail using external databases and tools.

1. Upload RNA-seq data as a bigWig track to the Genome Browser.

2. Visualize gene expression levels across different genomic regions.

3. Compare expression patterns between different experimental groups.

4. Identify genes with significant changes in expression.

1. Visualize ENCODE ChIP-seq data for histone modifications and transcription factors.

2. Identify regulatory elements near the gene of interest.

3. Analyze the correlation between regulatory element activity and gene expression.

4. Design experiments to validate the function of candidate regulatory elements.

1. Load genome assemblies for different species into the Genome Browser.

2. Use LiftOver to convert coordinates between assemblies.

3. Visualize synteny blocks and conserved non-coding elements.

4. Infer evolutionary relationships based on genome organization.

1. Prepare genomic data in appropriate file formats (e.g., bed, bigWig).

2. Create a trackDb.txt file describing the tracks in the hub.

3. Host the data and trackDb.txt file on a web server.

4. Register the track hub with the UCSC Genome Browser.