Back

synapsis: A Bioconductor package to automate the analysis of meiotic double-strand break repair and crossover formation

McNeill, L.; Tsui, V.; Crismani, W.

2022-07-15 cell biology
10.1101/2022.07.14.500141 bioRxiv
Show abstract

SummaryImmunofluorescent staining is commonly used to generate images to characterise cytological phenotypes. The manual quantification of DNA double-strand breaks and their repair intermediates during meiosis using image data requires a series of subjective steps, from image selection to the counting of particular events per nucleus. Here we describe synapsis, a Bioconductor package, which includes a set of functions to automate the process of identifying meiotic nuclei and quantifying key double-strand break formation and repair events in a rapid, scalable and reproducible workflow, and compare it to manual user quantification. The software can be extended for other applications in meiosis research, such as incorporating machine learning approaches to categorise meiotic substages. Availability and implementationsynapsis can be freely downloaded and installed at: http://bioconductor.org/packages/release/bioc/html/synapsis.html R functions and further information can be found at https://gitlab.svi.edu.au/drr-public/synapsis Contactwcrismani@svi.edu.au

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Methods in Ecology and Evolution
160 papers in training set
Top 0.3%
12.1%
2
G3 Genes|Genomes|Genetics
351 papers in training set
Top 0.2%
9.9%
3
STAR Protocols
15 papers in training set
Top 0.1%
8.2%
4
Bioinformatics
1061 papers in training set
Top 4%
6.2%
5
PLOS ONE
4510 papers in training set
Top 29%
6.2%
6
Nucleic Acids Research
1128 papers in training set
Top 4%
4.7%
7
Genetics
225 papers in training set
Top 0.9%
4.7%
50% of probability mass above
8
PLOS Genetics
756 papers in training set
Top 3%
4.7%
9
PLOS Computational Biology
1633 papers in training set
Top 9%
3.9%
10
BMC Bioinformatics
383 papers in training set
Top 3%
3.5%
11
G3
33 papers in training set
Top 0.1%
2.5%
12
Current Protocols
13 papers in training set
Top 0.1%
2.0%
13
GENETICS
189 papers in training set
Top 0.6%
1.7%
14
Chromosoma
10 papers in training set
Top 0.1%
1.6%
15
Wellcome Open Research
57 papers in training set
Top 1%
1.2%
16
Biophysical Journal
545 papers in training set
Top 4%
0.9%
17
Genome Biology
555 papers in training set
Top 7%
0.9%
18
Cells
232 papers in training set
Top 5%
0.9%
19
Biology Open
130 papers in training set
Top 2%
0.9%
20
Nature Communications
4913 papers in training set
Top 60%
0.9%
21
Scientific Reports
3102 papers in training set
Top 74%
0.8%
22
Molecular Biology of the Cell
272 papers in training set
Top 2%
0.8%
23
Open Research Europe
14 papers in training set
Top 0.2%
0.8%
24
BMC Genomics
328 papers in training set
Top 6%
0.7%
25
Cell Reports Methods
141 papers in training set
Top 5%
0.7%
26
Molecular Biology and Evolution
488 papers in training set
Top 4%
0.7%
27
Nature Protocols
30 papers in training set
Top 0.3%
0.7%
28
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 45%
0.7%
29
Bioinformatics Advances
184 papers in training set
Top 5%
0.7%
30
Frontiers in Genetics
197 papers in training set
Top 11%
0.7%