README.md

In shug3502/lazychromosomes: Quantitative Evaluation Of Chromosome Laziness From Kinetochore Tracks

lazychromsomes – Quantitative assessment of chromosome segregation

The lazychromosomes package allows quantitative assessment of chromosome segregation via the laziness statistic which measures how far a chromosome is from the other chromosomes associated with the same daughter cell.

Installation

The lazychromosomes package is available on github and can be installed via

devtools::install_github("shug3502/lazychromosomes",ref="main")

Usage

library(dplyr)
library(lazychromosomes)
data(kttracks)
kttracks %>% 
  annotate_anaphase_onset_for_cell(method="manual",t_ana_frame=86) %>%
  get_laziness() %>%
  group_by(SisterPairID) %>%
  summarise(max_laziness=max(laziness,na.rm=T))

To use with your own data, first track a movie using the kinetochore tracking software KiT available from github Export the tracks from MATLAB as a csv file using kitMakeAnalysisTable. These tracks can be loaded and processed in R using the lazychromosomes::process_jobset function.

shug3502/lazychromosomes documentation built on Dec. 23, 2021, 1:28 a.m.