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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

13.38 score 204 stars 3 dependents 4.0k scripts 8.2k 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

11.45 score 48 stars 39 dependents 72 scripts 14k 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

6.66 score 9 dependents 3 scripts 1.1k downloads

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