Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage
differentiation trajectories, along with the characterization of cellular heterogeneity and state …

Recent single-cell analysis technologies offer an unprecedented opportunity to elucidate
developmental pathways. Here we present Wishbone, an algorithm for positioning single …

Single cell genomics has become a popular approach to uncover the cellular heterogeneity
of progenitor and terminally differentiated cell types with great precision. This approach can …

We present single-cell clustering using bifurcation analysis (SCUBA), a novel computational
method for extracting lineage relationships from single-cell gene expression data and …

Tracking the progeny of single cells is necessary for building lineage trees that recapitulate
processes such as embryonic development and stem cell differentiation. In classical lineage …

Single-cell transcriptomics has recently emerged as a powerful tool to analyze cellular
heterogeneity, discover new cell types, and infer putative differentiation routes. The …

Single-cell RNA-sequencing offers unprecedented resolution of the continuum of state
transition during cell differentiation and development. However, tools for constructing multi …

Background Single-cell transcriptomics allows researchers to investigate complex
communities of heterogeneous cells. It can be applied to stem cells and their descendants in …

A fundamental goal of developmental and stem cell biology is to map the developmental
history (ontogeny) of differentiated cell types. Recent advances in high-throughput single …

A better understanding of the cell-fate transitions that occur in complex cellular ecosystems
in normal development and disease could inform cell engineering efforts and lead to …