Single Cell Papers

• Personalized microbiome dynamics − Cytometric fingerprints for routine diagnostics
• Microfluidic single-cell technology in immunology and antibody screening
• Identifying cell populations with scRNASeq
• Single-cell Transcriptome Study as Big Data
• Machine Learning and Statistical Methods for Clustering Single-cell RNA-sequencing Data
• Promoting human rights through science
• Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data [version 3; peer review: 2 approved, 1 approved with reservations]
• A Fantastic Voyage in Genomics
• Single-cell transcriptomics to explore the immune system in health and disease
• The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
• Single-cell epigenomics: Recording the past and predicting the future
• The Rydberg constant and proton size from atomic hydrogen
• Trispecific broadly neutralizing HIV antibodies mediate potent SHIV protection in macaques
• A Fermi-degenerate three-dimensional optical lattice clock
• Spatiotemporal mode-locking in multimode fiber lasers
• Segregation-induced ordered superstructures at general grain boundaries in a nickel-bismuth alloy
• Long-term pattern and magnitude of soil carbon feedback to the climate system in a warming world
• Interactions between brain and spinal cord mediate value effects in nocebo hyperalgesia
• Aworldwide survey of neonicotinoids in honey
• Visualizing the function and fate of neutrophils in sterile injury and repair
• Fibril structure of amyloid-β(1–42) by cryo–electron microscopy
• Mitotic transcription and waves of gene reactivation during mitotic exit
• Residual DNA Quantification Kits
• Hard data and human empathy
• Sensei: How many samples to tell evolution in single-cell studies?
• Single cell transcriptomics: methods and applications
• Comparison of computational methods for imputing single-cell RNA-sequencing data
• A comparison of single-cell trajectory inference methods: towards more accurate and robust tools
• Even more from less for RNA
• Comparison of methods to detect differentially expressed genes between single-cell populations
• How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives
• Evaluation of single-cell classifiers for single-cell RNA sequencing data sets
• Bias, robustness and scalability in differential expression analysis of single-cell RNA-seq data
• The scientific swerve: Changing your research focus
• Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods
• Single Cell Analysis: From Technology to Biology and Medicine
• Comparative Analysis of Single-Cell RNA Sequencing Methods
• Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
• 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?
• Design and computational analysis of single-cell RNA-sequencing experiments
• OncoNEM: inferring tumor evolution from single-cell sequencing data
• Beyond comparisons of means: understanding changes in gene expression at the single-cell level
• The potential of single-cell profiling in plants
• Single-cell analysis of long non-coding RNAs in the developing human neocortex
• Single-cell profiling of lncRNAs in the developing human brain
• Tree inference for single-cell data
• In silico lineage tracing through single cell transcriptomics identifies a neural stem cell population in planarians
• CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
• Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte and erythroid differentiation pathways
• Single-cell sequencing in stem cell biology
• Single-cell epigenomics: powerful new methods for understanding gene regulation and cell identity
• Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma
• Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
• Simultaneous profiling of transcriptome and DNA methylome from a single cell
• Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation
• Single-cell genomics: coming of age
• Exploiting single-cell expression to characterize co-expression replicability
• Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts
• Single-cell sequencing reveals karyotype heterogeneity in murine and human malignancies
• SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data
• Single-cell whole genome sequencing reveals no evidence for common aneuploidy in normal and Alzheimer's disease neurons
• Computing tumor trees from single cells
• AirLab: a cloud-based platform to manage and share antibody-based single-cell research
• GiniClust: detecting rare cell types from single-cell gene expression data with Gini index
• Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome
• Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm
• Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction
• A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
• Tracing the origin of disseminated tumor cells in breast cancer using single-cell sequencing
• Gene expression during mitosis
• Climate and the carbon cycle