标题
Direct Comparative Analyses of 10X Genomics Chromium and Smart-seq2
作者
关键词
Single-cell RNA sequencing, 10X, Smart-Seq2, Bulk RNA-seq, Comparison
出版物
GENOMICS PROTEOMICS & BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2021-03-02
DOI
10.1016/j.gpb.2020.02.005
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
- (2018) Elham Azizi et al. CELL
- Single-Cell Genomics: A Stepping Stone for Future Immunology Discoveries
- (2018) Amir Giladi et al. CELL
- Single-Cell Sequencing of the Healthy and Diseased Heart Reveals Cytoskeleton-Associated Protein 4 as a New Modulator of Fibroblasts Activation
- (2018) Monika M. Gladka et al. CIRCULATION
- Phenotype molding of stromal cells in the lung tumor microenvironment
- (2018) Diether Lambrechts et al. NATURE MEDICINE
- Bias, robustness and scalability in single-cell differential expression analysis
- (2018) Charlotte Soneson et al. NATURE METHODS
- Exponential scaling of single-cell RNA-seq in the past decade
- (2018) Valentine Svensson et al. Nature Protocols
- RNA velocity of single cells
- (2018) Gioele La Manno et al. NATURE
- Single-cell reconstruction of the early maternal–fetal interface in humans
- (2018) Roser Vento-Tormo et al. NATURE
- Lineage tracking reveals dynamic relationships of T cells in colorectal cancer
- (2018) Lei Zhang et al. NATURE
- A Single-Cell Sequencing Guide for Immunologists
- (2018) Peter See et al. Frontiers in Immunology
- Revealing allele-specific gene expression by single-cell transcriptomics
- (2017) Julio Aguila Benitez et al. INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY
- Scaling single-cell genomics from phenomenology to mechanism
- (2017) Amos Tanay et al. NATURE
- Single-cell spatial reconstruction reveals global division of labour in the mammalian liver
- (2017) Keren Bahar Halpern et al. NATURE
- Power analysis of single-cell RNA-sequencing experiments
- (2017) Valentine Svensson et al. NATURE METHODS
- GSA: Genome Sequence Archive *
- (2017) Yanqing Wang et al. GENOMICS PROTEOMICS & BIOINFORMATICS
- Revealing the vectors of cellular identity with single-cell genomics
- (2016) Allon Wagner et al. NATURE BIOTECHNOLOGY
- Analysis of allelic expression patterns in clonal somatic cells by single-cell RNA–seq
- (2016) Björn Reinius et al. NATURE GENETICS
- Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis
- (2016) Jean Fan et al. NATURE METHODS
- Single-cell RNA sequencing reveals molecular and functional platelet bias of aged haematopoietic stem cells
- (2016) Amit Grover et al. Nature Communications
- Single-cell analysis of transcription kinetics across the cell cycle
- (2016) Samuel O Skinner et al. eLife
- Design and Analysis of Single-Cell Sequencing Experiments
- (2015) Dominic Grün et al. CELL
- Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
- (2015) Allon M. Klein et al. CELL
- Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
- (2015) Evan Z. Macosko et al. CELL
- Computational assignment of cell-cycle stage from single-cell transcriptome data
- (2015) Antonio Scialdone et al. METHODS
- Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
- (2015) Florian Buettner et al. NATURE BIOTECHNOLOGY
- Spatial reconstruction of single-cell gene expression data
- (2015) Rahul Satija et al. NATURE BIOTECHNOLOGY
- Single-cell analysis reveals transcriptional heterogeneity of neural progenitors in human cortex
- (2015) Matthew B Johnson et al. NATURE NEUROSCIENCE
- Computational and analytical challenges in single-cell transcriptomics
- (2015) Oliver Stegle et al. NATURE REVIEWS GENETICS
- Single-cell RNA-seq reveals dynamic paracrine control of cellular variation
- (2014) Alex K. Shalek et al. NATURE
- Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex
- (2014) Alex A Pollen et al. NATURE BIOTECHNOLOGY
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Full-length RNA-seq from single cells using Smart-seq2
- (2014) Simone Picelli et al. Nature Protocols
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- (2014) Q. Deng et al. SCIENCE
- From single-cell to cell-pool transcriptomes: Stochasticity in gene expression and RNA splicing
- (2013) G. K. Marinov et al. GENOME RESEARCH
- Quantitative single-cell RNA-seq with unique molecular identifiers
- (2013) Saiful Islam et al. NATURE METHODS
- Quantitative assessment of single-cell RNA-sequencing methods
- (2013) Angela R Wu et al. NATURE METHODS
- Accounting for technical noise in single-cell RNA-seq experiments
- (2013) Philip Brennecke et al. NATURE METHODS
- Smart-seq2 for sensitive full-length transcriptome profiling in single cells
- (2013) Simone Picelli et al. NATURE METHODS
- Pervasive Transcription of the Human Genome Produces Thousands of Previously Unidentified Long Intergenic Noncoding RNAs
- (2013) Matthew J. Hangauer et al. PLoS Genetics
- RSeQC: quality control of RNA-seq experiments
- (2012) Liguo Wang et al. BIOINFORMATICS
- clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
- (2012) Guangchuang Yu et al. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
- Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses
- (2011) M. N. Cabili et al. GENES & DEVELOPMENT
- Independent filtering increases detection power for high-throughput experiments
- (2010) R. Bourgon et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- mRNA-Seq whole-transcriptome analysis of a single cell
- (2009) Fuchou Tang et al. NATURE METHODS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started