Despite ground-breaking genetic studies that have identified thousands of risk variants for
developmental diseases, how these variants lead to molecular and cellular phenotypes …

Long-read single-cell RNA sequencing (scRNA-seq) enables the quantification of RNA
isoforms in individual cells. However, long-read scRNA-seq using the Oxford Nanopore …

Single-cell RNA-sequencing (scRNA-seq) has emerged as a powerful technique to identify
novel cell markers, developmental trajectories, and transcriptional changes during cell …

Cutaneous T-cell lymphomas are a heterogeneous group of neoplasms originating in the
skin, with mycosis fungoides (MF) and Sézary syndrome (SS) representing the most …

Background: Reproducibility of human cortical organoid (hCO) phenotypes remains a
concern for modeling neurodevelopmental disorders. While guided hCO protocols …

Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype,
characterized by extensive intratumoral heterogeneity, high metastasis, and …

RNA velocity estimation is a potentially powerful tool to reveal the directionality of
transcriptional changes in single-cell RNA-sequencing data, but it lacks accuracy, absent …

Tree-and linear-shaped cell differentiation trajectories have been widely observed in
developmental biologies and can be also inferred through computational methods from …

Motivation Amplicon sequencing is widely applied to explore heterogeneity and rare
variants in genetic populations. Resolving true biological variants and quantifying their …

Single-cell transcriptomics suffers from lapses in coverage of the full transcriptome,
providing an incomplete gene expression profile of the cell. Here, we introduce single-cell …