Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
Background Single-cell transcriptomics allows researchers to investigate complex
communities of heterogeneous cells. It can be applied to stem cells and their descendants in …
communities of heterogeneous cells. It can be applied to stem cells and their descendants in …
A general and flexible method for signal extraction from single-cell RNA-seq data
Single-cell RNA-sequencing (scRNA-seq) is a powerful high-throughput technique that
enables researchers to measure genome-wide transcription levels at the resolution of single …
enables researchers to measure genome-wide transcription levels at the resolution of single …
Integrated scRNA-Seq identifies human postnatal thymus seeding progenitors and regulatory dynamics of differentiating immature thymocytes
During postnatal life, thymopoiesis depends on the continuous colonization of the thymus by
bone-marrow-derived hematopoietic progenitors that migrate through the bloodstream. The …
bone-marrow-derived hematopoietic progenitors that migrate through the bloodstream. The …
Co-expression in single-cell analysis: saving grace or original sin?
As a fundamental unit of life, the cell has rightfully been the subject of intense investigation
throughout the history of biology. Technical innovations now make it possible to assay …
throughout the history of biology. Technical innovations now make it possible to assay …
Creating lineage trajectory maps via integration of single‐cell RNA‐sequencing and lineage tracing: integrating transgenic lineage tracing and single‐cell RNA …
RB Fletcher, D Das, J Ngai - Bioessays, 2018 - Wiley Online Library
Mapping the paths that stem and progenitor cells take en route to differentiate and
elucidating the underlying molecular controls are key goals in developmental and stem cell …
elucidating the underlying molecular controls are key goals in developmental and stem cell …
SingleCAnalyzer: interactive analysis of single cell RNA-Seq data on the cloud
C Prieto, D Barrios, A Villaverde - Frontiers in bioinformatics, 2022 - frontiersin.org
Single-cell RNA sequencing (scRNA-Seq) enables researchers to quantify the
transcriptomes of individual cells. The capacity of researchers to perform this type of analysis …
transcriptomes of individual cells. The capacity of researchers to perform this type of analysis …
Single cell RNA sequencing confirms retinal microglia activation associated with early onset retinal degeneration
Mutations in the Membrane-type frizzled related protein (Mfrp) gene results in an early-onset
retinal degeneration associated with retinitis pigmentosa, microphthalmia, optic disc drusen …
retinal degeneration associated with retinitis pigmentosa, microphthalmia, optic disc drusen …
ZINB-WaVE: A general and flexible method for signal extraction from single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) is a powerful high-throughput technique that
enables researchers to measure genome-wide transcription levels at the resolution of single …
enables researchers to measure genome-wide transcription levels at the resolution of single …
clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets
Clustering of genes and/or samples is a common task in gene expression analysis. The
goals in clustering can vary, but an important scenario is that of finding biologically …
goals in clustering can vary, but an important scenario is that of finding biologically …