Kyung Hoi Min

This study uses spatial transcriptomics and lineage tracing to show how tumor subclones drive microenvironmental changes that promote metastasis in a mouse model.

The paper describes using kallisto, bustools, and kb-python to quantify RNA-seq data from bulk, single-cell, and single-nucleus samples.

The paper introduces a modular approach and quality control metrics for improving barcode quantification in sequence census assays.

Spateo provides a framework for spatiotemporal modeling of single-cell spatial transcriptomics data to study cell-cell interactions and organ development in 3D space.

The paper introduces a command-line tool called ffq for querying user-generated data and metadata from sequence databases.

The paper introduces dynamo, a framework for estimating RNA velocities and predicting cell fates using single-cell RNA-seq data, applied to various biological processes.

The paper presents a modular and efficient workflow for single-cell RNA-seq pre-processing using kallisto and bustools, demonstrating its flexibility for RNA velocity analyses.