alevin-fry

Generate RAD files using piscem or salmon.

Run alevin-fry to quantify gene expression.

Import the output into R using the fishpond package.

Perform downstream analysis using standard R packages.

Generate RAD files containing feature barcode information.

Run alevin-fry to quantify feature barcodes.

Analyze the output to identify cells associated with each feature.

Integrate with other single-cell data for comprehensive analysis.

Process raw sequencing data with alevin-fry for quantification.

Perform dimensionality reduction and clustering analysis.

Identify marker genes for each cluster.

Assign cell types based on marker gene expression.

Collect single-cell samples at different developmental stages.

Process data with alevin-fry to quantify gene expression.

Perform trajectory analysis to infer developmental trajectories.

Identify genes that are differentially expressed along the trajectories.

Process single-cell RNA-seq data from tumor samples with alevin-fry.

Identify distinct tumor cell subpopulations.

Analyze the gene expression profiles of each subpopulation.

Identify potential drug targets based on the unique characteristics of each subpopulation.

Isolate immune cells from infected tissues.

Process single-cell RNA-seq data with alevin-fry.

Identify activated immune cell populations.

Analyze the expression of immune-related genes in each population.

Identify key signaling pathways involved in the immune response.