Accurate quantification of nascent and mature RNAs from single-cell and single-nucleus RNA-seq
In single-cell and single-nucleus RNA sequencing (RNA-seq), the coexistence of nascent
(unprocessed) and mature (processed) messenger RNA (mRNA) poses challenges in …
(unprocessed) and mature (processed) messenger RNA (mRNA) poses challenges in …
Trajectory inference from single-cell genomics data with a process time model
Single-cell transcriptomics experiments provide gene expression snapshots of
heterogeneous cell populations across cell states. These snapshots have been used to infer …
heterogeneous cell populations across cell states. These snapshots have been used to infer …
[HTML][HTML] scCensus: Off-target scRNA-seq reads reveal meaningful biology
Single-cell RNA-sequencing (scRNA-seq) provides unprecedented insights into cellular
heterogeneity. Although scRNA-seq reads from most prevalent and popular tagged-end …
heterogeneity. Although scRNA-seq reads from most prevalent and popular tagged-end …
Stochastic Modeling of Biophysical Responses to Perturbation
Recent advances in high-throughput, multi-condition experiments allow for genome-wide
investigation of how perturbations affect transcription and translation in the cell across …
investigation of how perturbations affect transcription and translation in the cell across …
Transcriptome-wide analysis of cell cycle-dependent bursty gene expression from single-cell RNA-seq data using mechanistic model-based inference
Bursty gene expression is quantified by two intuitive parameters: the burst frequency and the
burst size. While these parameters are known to be cell-cycle dependent for some genes, a …
burst size. While these parameters are known to be cell-cycle dependent for some genes, a …
Methods for Efficient Processing and Comprehensive Analysis of Single Cell Sequencing Data
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Over the past decade, the rapid development of single-cell RNA-sequencing (scRNAseq)
technology has revolutionized the understanding of cellular differentiation, heterogeneity …
technology has revolutionized the understanding of cellular differentiation, heterogeneity …