Пакет: r-bioc-dropletutils (1.26.0+ds-2)

[ Източник: r-bioc-dropletutils  ]

BioConductor utilities for handling single-cell droplet data

Provides a number of utility functions for handling single-cell (RNA-seq) data from droplet technologies such as 10X Genomics. This includes data loading from count matrices or molecule information files, identification of cells from empty droplets, removal of barcode-swapped pseudo-cells, and downsampling of the count matrix.

Други пакети, свързани с r-bioc-dropletutils

• dep: libc6 (>= 2.29)

  GNU C Library: Shared libraries
  също и виртуален пакет, предлаган от libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  GCC support library

• dep: libhdf5-310 (>= 1.14.3)

  HDF5 C runtime files - serial version

• dep: libhdf5-cpp-310 (>= 1.14.3)

  HDF5 - C++ runtime files - serial version

• dep: libstdc++6 (>= 14)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  виртуален пакет, предлаган от r-base-core

• dep: r-api-bioc-3.20

  виртуален пакет, предлаган от r-bioc-biocgenerics

• dep: r-bioc-beachmat

  I/O for several formats storing matrix data

• dep: r-bioc-biocgenerics

  generic functions for Bioconductor

• dep: r-bioc-biocparallel

  BioConductor facilities for parallel evaluation

• dep: r-bioc-delayedarray (>= 0.31.9)

  BioConductor delayed operations on array-like objects

• dep: r-bioc-delayedmatrixstats

  Functions on Rows and Columns of 'DelayedMatrix' Objects

• dep: r-bioc-edger

  Empirical analysis of digital gene expression data in R

• dep: r-bioc-genomicranges

  BioConductor representation and manipulation of genomic intervals

• dep: r-bioc-hdf5array

  HDF5 backend for DelayedArray objects

• dep: r-bioc-iranges

  GNU R low-level containers for storing sets of integer ranges

• dep: r-bioc-rhdf5

  BioConductor HDF5 interface to R

• dep: r-bioc-rhdf5lib

  GNU R hdf5 library

• dep: r-bioc-s4vectors

  BioConductor S4 implementation of vectors and lists

• dep: r-bioc-scuttle

  BioConductor single-cell RNA-Seq analysis utilities

• dep: r-bioc-singlecellexperiment

  S4 Classes for Single Cell Data

• dep: r-bioc-sparsearray (>= 1.5.18)

  efficient in-memory representation of multidimensional sparse arrays

• dep: r-bioc-summarizedexperiment

  BioConductor assay container

• dep: r-cran-bh

  (Virtual) GNU R package to provide BH

• dep: r-cran-dqrng

  GNU R fast pseudo random number generators

• dep: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• dep: r-cran-r.utils

  GNU R various programming utilities

• dep: r-cran-rcpp

  GNU R package for Seamless R and C++ Integration

• sug: r-bioc-biocstyle

  standard styles for vignettes and other Bioconductor documents

• sug: r-cran-jsonlite

  Robust, High Performance JSON Parser and Generator for R

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-testthat

  GNU R testsuite

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