synapsis

An R package to automate the analysis of double-strand break repair during meiosis


Bioconductor version: Release (3.20)

Synapsis is a Bioconductor software package for automated (unbiased and reproducible) analysis of meiotic immunofluorescence datasets. The primary functions of the software can i) identify cells in meiotic prophase that are labelled by a synaptonemal complex axis or central element protein, ii) isolate individual synaptonemal complexes and measure their physical length, iii) quantify foci and co-localise them with synaptonemal complexes, iv) measure interference between synaptonemal complex-associated foci. The software has applications that extend to multiple species and to the analysis of other proteins that label meiotic prophase chromosomes. The software converts meiotic immunofluorescence images into R data frames that are compatible with machine learning methods. Given a set of microscopy images of meiotic spread slides, synapsis crops images around individual single cells, counts colocalising foci on strands on a per cell basis, and measures the distance between foci on any given strand.

Author: Lucy McNeill [aut, cre, cph] , Wayne Crismani [rev, ctb]

Maintainer: Lucy McNeill <luc.mcneill at gmail.com>

Citation (from within R, enter citation("synapsis")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("synapsis")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("synapsis")
Using-synapsis HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews SingleCell, Software
Version 1.12.0
In Bioconductor since BioC 3.14 (R-4.1) (3 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports EBImage, stats, utils, graphics
System Requirements
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Suggests knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, tidyverse, BiocStyle
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package synapsis_1.12.0.tar.gz
Windows Binary (x86_64) synapsis_1.12.0.zip (64-bit only)
macOS Binary (x86_64) synapsis_1.12.0.tgz
macOS Binary (arm64) synapsis_1.11.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/synapsis
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/synapsis
Bioc Package Browser https://code.bioconductor.org/browse/synapsis/
Package Short Url https://bioconductor.org/packages/synapsis/
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