ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses
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Title
ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses
Authors
Keywords
-
Journal
NUCLEIC ACIDS RESEARCH
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-05-21
DOI
10.1093/nar/gkaa412
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- (2019) Hannah A. Pliner et al. NATURE METHODS
- A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain
- (2018) Kristofer Davie et al. CELL
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- (2018) Xiaoping Han et al. CELL
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- (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
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- (2018) Valentine Svensson et al. Nature Protocols
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- M3Drop: dropout-based feature selection for scRNASeq
- (2018) Tallulah S Andrews et al. BIOINFORMATICS
- Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
- (2018) et al. NATURE
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- (2017) Raghd Rostom et al. FEBS LETTERS
- SC3: consensus clustering of single-cell RNA-seq data
- (2017) Vladimir Yu Kiselev et al. NATURE METHODS
- Comprehensive single-cell transcriptional profiling of a multicellular organism
- (2017) Junyue Cao et al. SCIENCE
- Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists
- (2017) Xun Zhu et al. Genome Medicine
- The Human Cell Atlas
- (2017) Aviv Regev et al. eLife
- The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability
- (2016) Alexander D. Diehl et al. Journal of Biomedical Semantics
- Advances and Applications of Single-Cell Sequencing Technologies
- (2015) Yong Wang et al. MOLECULAR CELL
- Spatial reconstruction of single-cell gene expression data
- (2015) Rahul Satija et al. NATURE BIOTECHNOLOGY
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts
- (2014) Charity W Law et al. GENOME BIOLOGY
- Accounting for technical noise in single-cell RNA-seq experiments
- (2013) Philip Brennecke et al. NATURE METHODS
- BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata
- (2011) T. Barrett et al. NUCLEIC ACIDS RESEARCH
- Cytoscape Web: an interactive web-based network browser
- (2010) Christian T. Lopes et al. BIOINFORMATICS
- NCBI GEO: archive for high-throughput functional genomic data
- (2008) T. Barrett et al. NUCLEIC ACIDS RESEARCH
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