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Bioinformatics. 2016 Jun 15;32(12):1917-9. doi: 10.1093/bioinformatics/btw087. Epub 2016 Feb 15.

KiT: a MATLAB package for kinetochore tracking.

Author information

1
Division of Biomedical Cell Biology, Mechanochemical Cell Biology Building, Warwick Medical School Warwick Systems Biology Centre and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK.
2
Division of Biomedical Cell Biology, Mechanochemical Cell Biology Building, Warwick Medical School.
3
Warwick Systems Biology Centre and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK.

Abstract

During mitosis, chromosomes are attached to the mitotic spindle via large protein complexes called kinetochores. The motion of kinetochores throughout mitosis is intricate and automated quantitative tracking of their motion has already revealed many surprising facets of their behaviour. Here, we present 'KiT' (Kinetochore Tracking)-an easy-to-use, open-source software package for tracking kinetochores from live-cell fluorescent movies. KiT supports 2D, 3D and multi-colour movies, quantification of fluorescence, integrated deconvolution, parallel execution and multiple algorithms for particle localization.

AVAILABILITY AND IMPLEMENTATION:

KiT is free, open-source software implemented in MATLAB and runs on all MATLAB supported platforms. KiT can be downloaded as a package from http://www.mechanochemistry.org/mcainsh/software.php The source repository is available at https://bitbucket.org/jarmond/kit and under continuing development.

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

CONTACT:

jonathan.armond@warwick.ac.uk.

PMID:
27153705
PMCID:
PMC4908324
DOI:
10.1093/bioinformatics/btw087
[Indexed for MEDLINE]
Free PMC Article

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