Papers: 10.1371/journal.pcbi.1006361
https://doi.org/10.1371/journal.pcbi.1006361
scPipe: A flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data
Cited by: 92
Author(s): Tian Li, Shian Su, Xueyi Dong, Daniela Amann‐Zalcenstein, Christine Biben, Azadeh Seidi, Douglas J. Hilton, Shalin H. Naik, Matthew E. Ritchie
Published: almost 7 years ago
Software Mentions 21
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bioconductor: clusterExperiment
Compare Clusterings for Single-Cell SequencingPapers that mentioned: 8
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bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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bioconductor: Rhtslib
HTSlib high-throughput sequencing library as an R packagePapers that mentioned: 1
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bioconductor: Rsubread
Mapping, quantification and variant analysis of sequencing dataPapers that mentioned: 331
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bioconductor: scater
Single-Cell Analysis Toolkit for Gene Expression Data in RPapers that mentioned: 79
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bioconductor: scDD
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributionsPapers that mentioned: 16
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bioconductor: scPipe
Pipeline for single cell multi-omic data pre-processingPapers that mentioned: 7
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bioconductor: zinbwave
Zero-Inflated Negative Binomial Model for RNA-Seq DataPapers that mentioned: 12
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cran: mclust
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density EstimationPapers that mentioned: 297
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pypi: umis
Package for estimating UMI counts in Transcript Tag Counting data.Papers that mentioned: 5
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