User profiles for Kedar N Natarajan
Kedar Nath NatarajanWellcome Trust Sanger Institute, European Bioinformatics Institute Verified email at sanger.ac.uk Cited by 5870 |
SC3: consensus clustering of single-cell RNA-seq data
Single-cell RNA-seq enables the quantitative characterization of cell types based on global
transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly …
transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly …
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
Recent technical developments have enabled the transcriptomes of hundreds of cells to be
assayed in an unbiased manner, opening up the possibility that new subpopulations of cells …
assayed in an unbiased manner, opening up the possibility that new subpopulations of cells …
Power analysis of single-cell RNA-sequencing experiments
Single-cell RNA sequencing (scRNA-seq) has become an established and powerful method
to investigate transcriptomic cell-to-cell variation, thereby revealing new cell types and …
to investigate transcriptomic cell-to-cell variation, thereby revealing new cell types and …
[PDF][PDF] Single cell RNA-sequencing of pluripotent states unlocks modular transcriptional variation
…, JCH Tsang, T Ilicic, J Henriksson, KN Natarajan… - Cell stem cell, 2015 - cell.com
Embryonic stem cell (ESC) culture conditions are important for maintaining long-term self-renewal,
and they influence cellular pluripotency state. Here, we report single cell RNA-…
and they influence cellular pluripotency state. Here, we report single cell RNA-…
BioModels: ten-year anniversary
BioModels ( http://www.ebi.ac.uk/biomodels/ ) is a repository of mathematical models of
biological processes. A large set of models is curated to verify both correspondence to the …
biological processes. A large set of models is curated to verify both correspondence to the …
SBML Level 3: an extensible format for the exchange and reuse of biological models
Abstract Systems biology has experienced dramatic growth in the number, size, and
complexity of computational models. To reproduce simulation results and reuse models, …
complexity of computational models. To reproduce simulation results and reuse models, …
[HTML][HTML] Computational assignment of cell-cycle stage from single-cell transcriptome data
The transcriptome of single cells can reveal important information about cellular states and
heterogeneity within populations of cells. Recently, single-cell RNA-sequencing has …
heterogeneity within populations of cells. Recently, single-cell RNA-sequencing has …
[HTML][HTML] Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
…, F Buettner, A Knights, KN Natarajan… - Nature …, 2020 - nature.com
Recent developments in stem cell biology have enabled the study of cell fate decisions in
early human development that are impossible to study in vivo. However, understanding how …
early human development that are impossible to study in vivo. However, understanding how …
[HTML][HTML] A rapid and robust method for single cell chromatin accessibility profiling
The assay for transposase-accessible chromatin using sequencing (ATAC-seq) is widely
used to identify regulatory regions throughout the genome. However, very few studies have …
used to identify regulatory regions throughout the genome. However, very few studies have …
[HTML][HTML] Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition
Single-cell resolution analysis of complex biological tissues is fundamental to capture cell-state
heterogeneity and distinct cellular signaling patterns that remain obscured with …
heterogeneity and distinct cellular signaling patterns that remain obscured with …