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SingleR - Reference-Based Single-Cell RNA-Seq Annotation

Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer the cell of origin of each single cell independently.

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softwaresinglecellgeneexpressiontranscriptomicsclassificationclusteringannotationbioconductorsinglercpp

13.89 score 205 stars 7 dependents 4.0k scripts 9.1k downloads

scran - Methods for Single-Cell RNA-Seq Data Analysis

Implements miscellaneous functions for interpretation of single-cell RNA-seq data. Methods are provided for assignment of cell cycle phase, detection of highly variable and significantly correlated genes, identification of marker genes, and other common tasks in routine single-cell analysis workflows.

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immunooncologynormalizationsequencingrnaseqsoftwaregeneexpressiontranscriptomicssinglecellclusteringbioconductor-packagehuman-cell-atlassingle-cell-rna-seqopenblascpp

11.52 score 48 stars 39 dependents 72 scripts 16k downloads

csaw - ChIP-Seq Analysis with Windows

Detection of differentially bound regions in ChIP-seq data with sliding windows, with methods for normalization and proper FDR control.

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multiplecomparisonchipseqnormalizationsequencingcoveragegeneticsannotationdifferentialpeakcallingcurlbzip2xz-utilszlibcpp

8.52 score 9 dependents 635 scripts 1.3k downloads

scRNAseq - Collection of Public Single-Cell RNA-Seq Datasets

Gene-level counts for a collection of public scRNA-seq datasets, provided as SingleCellExperiment objects with cell- and gene-level metadata.

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experimenthubexperimentdataexpressiondatasequencingdatarnaseqdatasinglecelldatadatapkg

7.76 score 8 dependents 1.6k scripts