Evidence map›Paper›PMID 27153705›Full record

ArticleBioinformatics (Oxford, England)2016

KiT: a MATLAB package for kinetochore tracking.

Jonathan W Armond, Elina Vladimirou, Andrew D McAinsh, Nigel J Burroughs

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Jonathan W ArmondDivision 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.
Elina VladimirouDivision of Biomedical Cell Biology, Mechanochemical Cell Biology Building, Warwick Medical School.
Andrew D McAinshDivision of Biomedical Cell Biology, Mechanochemical Cell Biology Building, Warwick Medical School.
Nigel J BurroughsWarwick Systems Biology Centre and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK.
University of Warwick · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I021353/1Wellcome Trust 106151/Z/14/Z
6 · The paper itself

Abstract

unlabelledDuring 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.

Indexed as

Image EnhancementKinetochoresSoftwareAlgorithmsComputer GraphicsFluorescenceHumansSpindle ApparatusUser-Computer Interface

Identifiers

PMID27153705
PMCPMC4908324
OpenAlexW2302299163

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.