Bioconductor version: Release (3.6)
Recently a very large collection of single-cell RNA-seq (scRNA-seq) datasets has been generated and publicly released. For the collection to be useful, the information must be organized in a way that supports queries that are relevant to researchers. `scfind` builds an index from scRNA-seq datasets which organizes the information in a suitable and compact manner so that the datasets can be very efficiently searched for either cells or cell types in which a given list of genes is expressed.
Author: Vladimir Kiselev
Maintainer: Vladimir Kiselev <vladimir.yu.kiselev at gmail.com>
Citation (from within R,
enter citation("scfind")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("scfind")
HTML | R Script | `scfind` package vignette |
Reference Manual | ||
Text | NEWS |
biocViews | DataRepresentation, GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics |
Version | 1.0.0 |
License | GPL-3 |
Depends | R (>= 3.4) |
Imports | SingleCellExperiment, SummarizedExperiment, methods, stats, bit, dplyr, hash, reshape2, Rcpp (>= 0.12.12) |
LinkingTo | Rcpp |
Suggests | knitr, rmarkdown, testthat |
SystemRequirements | |
Enhances | |
URL | https://github.com/hemberg-lab/scfind |
BugReports | https://support.bioconductor.org/t/scfind/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | scfind_1.0.0.tar.gz |
Windows Binary | scfind_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | scfind_1.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scfind |
Package Short Url | http://bioconductor.org/packages/scfind/ |
Package Downloads Report | Download Stats |
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