A multicenter study benchmarking single-cell RNA sequencing technologies using reference samples
出版年份 2020 全文链接
标题
A multicenter study benchmarking single-cell RNA sequencing technologies using reference samples
作者
关键词
-
出版物
NATURE BIOTECHNOLOGY
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-12-22
DOI
10.1038/s41587-020-00748-9
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Determining sequencing depth in a single-cell RNA-seq experiment
- (2020) Martin Jinye Zhang et al. Nature Communications
- Benchmarking single-cell RNA-sequencing protocols for cell atlas projects
- (2020) Elisabetta Mereu et al. NATURE BIOTECHNOLOGY
- Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq
- (2020) Bo Li et al. NATURE METHODS
- A comparison of single-cell trajectory inference methods
- (2019) Wouter Saelens et al. NATURE BIOTECHNOLOGY
- Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
- (2019) Brian Hie et al. NATURE BIOTECHNOLOGY
- Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments
- (2019) Luyi Tian et al. NATURE METHODS
- Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq
- (2019) Michael B. Cole et al. Cell Systems
- Comprehensive Integration of Single-Cell Data
- (2019) Tim Stuart et al. CELL
- Fast, sensitive and accurate integration of single-cell data with Harmony
- (2019) Ilya Korsunsky et al. NATURE METHODS
- Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data
- (2018) Shun H Yip et al. BRIEFINGS IN BIOINFORMATICS
- Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
- (2018) Laleh Haghverdi et al. NATURE BIOTECHNOLOGY
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- (2018) Andrew Butler et al. NATURE BIOTECHNOLOGY
- zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIs
- (2018) Swati Parekh et al. GigaScience
- Comparative Analysis of Droplet-Based Ultra-High-Throughput Single-Cell RNA-Seq Systems
- (2018) Xiannian Zhang et al. MOLECULAR CELL
- A test metric for assessing single-cell RNA-seq batch correction
- (2018) Maren Büttner et al. NATURE METHODS
- UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy
- (2017) Tom Smith et al. GENOME RESEARCH
- Comparative Analysis of Single-Cell RNA Sequencing Methods
- (2017) Christoph Ziegenhain et al. MOLECULAR CELL
- Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
- (2017) Hyun Min Kang et al. NATURE BIOTECHNOLOGY
- SCnorm: robust normalization of single-cell RNA-seq data
- (2017) Rhonda Bacher et al. NATURE METHODS
- Power analysis of single-cell RNA-sequencing experiments
- (2017) Valentine Svensson et al. NATURE METHODS
- Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput
- (2017) Todd M Gierahn et al. NATURE METHODS
- Linnorm: improved statistical analysis for single cell RNA-seq expression data
- (2017) Shun H. Yip et al. NUCLEIC ACIDS RESEARCH
- Single-Cell Sequencing Technologies for Cardiac Stem Cell Studies
- (2017) Tiantian Liu et al. STEM CELLS AND DEVELOPMENT
- Near-optimal probabilistic RNA-seq quantification
- (2016) Nicolas L Bray et al. NATURE BIOTECHNOLOGY
- 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 analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
- (2015) Florian Buettner et al. NATURE BIOTECHNOLOGY
- limma powers differential expression analyses for RNA-sequencing and microarray studies
- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- Trimmomatic: a flexible trimmer for Illumina sequence data
- (2014) Anthony M. Bolger et al. BIOINFORMATICS
- Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls
- (2014) Justin M Zook 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
- Normalization of RNA-seq data using factor analysis of control genes or samples
- (2014) Davide Risso et al. NATURE BIOTECHNOLOGY
- featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
- (2013) Y. Liao et al. BIOINFORMATICS
- The sva package for removing batch effects and other unwanted variation in high-throughput experiments
- (2012) Jeffrey T. Leek et al. BIOINFORMATICS
- STAR: ultrafast universal RNA-seq aligner
- (2012) Alexander Dobin et al. BIOINFORMATICS
- Advances in Human B Cell Phenotypic Profiling
- (2012) Denise A. Kaminski et al. Frontiers in Immunology
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
- (2011) Bo Li et al. BMC BIOINFORMATICS
- The Sequence Alignment/Map format and SAMtools
- (2009) H. Li et al. BIOINFORMATICS
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