Seurat - Tools for Single Cell Genomics
A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
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human-cell-atlassingle-cell-genomicssingle-cell-rna-seqcpp
17.36 score 2.7k stars 105 dependents 68k scripts 79k downloadsSeuratObject - Data Structures for Single Cell Data
Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for more details.
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cpp
13.84 score 35 stars 123 dependents 3.4k scripts 79k downloadsS4Vectors - Foundation of vector-like and list-like containers in Bioconductor
The S4Vectors package defines the Vector and List virtual classes and a set of generic functions that extend the semantic of ordinary vectors and lists in R. Package developers can easily implement vector-like or list-like objects as concrete subclasses of Vector or List. In addition, a few low-level concrete subclasses of general interest (e.g. DataFrame, Rle, Factor, and Hits) are implemented in the S4Vectors package itself (many more are implemented in the IRanges package and in other Bioconductor infrastructure packages).
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infrastructuredatarepresentationbioconductor-packagecore-package
13.63 score 18 stars 2.0k dependents 2.0k scriptsIRanges - Foundation of integer range manipulation in Bioconductor
Provides efficient low-level and highly reusable S4 classes for storing, manipulating and aggregating over annotated ranges of integers. Implements an algebra of range operations, including efficient algorithms for finding overlaps and nearest neighbors. Defines efficient list-like classes for storing, transforming and aggregating large grouped data, i.e., collections of atomic vectors and DataFrames.
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infrastructuredatarepresentationbioconductor-packagecore-packageopenmp
13.39 score 23 stars 1.9k dependents 3.4k scriptsDelayedArray - A unified framework for working transparently with on-disk and in-memory array-like datasets
Wrapping an array-like object (typically an on-disk object) in a DelayedArray object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like DataFrame objects (typically with Rle columns), Matrix objects, ordinary arrays and, data frames.
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infrastructuredatarepresentationannotationgenomeannotationbioconductor-packagecore-packageu24ca289073
12.97 score 29 stars 1.4k dependents 934 scriptsSeuratObject - Data Structures for Single Cell Data
Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031> for more details.
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cpp
12.78 score 35 stars 125 dependents 3.4k scripts 62k downloadsremotes - R Package Installation from Remote Repositories, Including 'GitHub'
Download and install R packages stored in 'GitHub', 'GitLab', 'Bitbucket', 'Bioconductor', or plain 'subversion' or 'git' repositories. This package provides the 'install_*' functions in 'devtools'. Indeed most of the code was copied over from 'devtools'.
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12.55 score 114 dependents 6.9k scripts 425k downloadsBiocGenerics - S4 generic functions used in Bioconductor
The package defines many S4 generic functions used in Bioconductor.
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infrastructurebioconductor-packagecore-package
11.67 score 13 stars 2.4k dependents 1.2k scriptsSparseArray - High-performance sparse data representation and manipulation in R
The SparseArray package provides array-like containers for efficient in-memory representation of multidimensional sparse data in R (arrays and matrices). The package defines the SparseArray virtual class and two concrete subclasses: COO_SparseArray and SVT_SparseArray. Each subclass uses its own internal representation of the nonzero multidimensional data: the "COO layout" and the "SVT layout", respectively. SVT_SparseArray objects mimic as much as possible the behavior of ordinary matrix and array objects in base R. In particular, they suppport most of the "standard matrix and array API" defined in base R and in the matrixStats package from CRAN.
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infrastructuredatarepresentationbioconductor-packagecore-packageu24ca289073openmp
10.85 score 11 stars 1.4k dependents 105 scriptstiledbsoma - 'TileDB' Stack of Matrices, Annotated ('SOMA')
Interface for working with 'TileDB'-based Stack of Matrices, Annotated ('SOMA'): an open data model for representing annotated matrices, like those commonly used for single cell data analysis. It is documented at <https://github.com/single-cell-data>; a formal specification available is at <https://github.com/single-cell-data/SOMA/blob/main/abstract_specification.md>.
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single-cellsingle-cell-genomicstiledbtiledb-apitiledb-somacpp
9.82 score 124 stars 1 dependents 52 scriptsMatrixGenerics - S4 Generic Summary Statistic Functions that Operate on Matrix-Like Objects
S4 generic functions modeled after the 'matrixStats' API for alternative matrix implementations. Packages with alternative matrix implementation can depend on this package and implement the generic functions that are defined here for a useful set of row and column summary statistics. Other package developers can import this package and handle a different matrix implementations without worrying about incompatibilities.
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infrastructuresoftwarebioconductor-packagecore-package
9.50 score 12 stars 1.4k dependents 155 scriptsS4Arrays - Foundation of array-like containers in Bioconductor
The S4Arrays package defines the Array virtual class to be extended by other S4 classes that wish to implement a container with an array-like semantic. It also provides: (1) low-level functionality meant to help the developer of such container to implement basic operations like display, subsetting, or coercion of their array-like objects to an ordinary matrix or array, and (2) a framework that facilitates block processing of array-like objects (typically on-disk objects).
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infrastructuredatarepresentationbioconductor-packagecore-packageu24ca289073
9.06 score 7 stars 1.4k dependents 16 scriptsggseurat - ggplot2 Bindings for Seurat Objects
Provides methods to allow Seurat objects to be utilized directly in the ggplot2 ecosystem.
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2.40 score 5 stars 7 scripts