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MitoTrack, a user-friendly semi-automatic software for lineage tracking in living embryos
MOTIVATION: During development, progenitor cells undergo multiple rounds of cellular divisions during which transcriptional programs must be faithfully propagated. Investigating the timing of transcriptional activation, which is a highly stochastic phenomenon, requires the analysis of large amounts...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703790/ https://www.ncbi.nlm.nih.gov/pubmed/31580394 http://dx.doi.org/10.1093/bioinformatics/btz717 |
Sumario: | MOTIVATION: During development, progenitor cells undergo multiple rounds of cellular divisions during which transcriptional programs must be faithfully propagated. Investigating the timing of transcriptional activation, which is a highly stochastic phenomenon, requires the analysis of large amounts of data. In order to perform automatic image analysis of transcriptional activation, we developed a software that segments and tracks both small and large objects, leading the user from raw data up to the results in their final form. RESULTS: MitoTrack is a user-friendly open-access integrated software that performs the specific dual task of reporting the precise timing of transcriptional activation while keeping lineage tree history for each nucleus of a living developing embryo. The software works automatically but provides the possibility to easily supervise, correct and validate each step. AVAILABILITY AND IMPLEMENTATION: MitoTrack is an open source Python software, embedded within a graphical user interface (download here). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
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