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Automatic cell lineage reconstruction to run in Windows on

Free download Automatic cell lineage reconstruction to run in Windows online over Linux online Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Automatic cell lineage reconstruction to run in Windows online over Linux online whose latest release can be downloaded as testData.zip. It can be run online in the free hosting provider OnWorks for workstations.

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- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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Automatic cell lineage reconstruction to run in Windows online over Linux online


DESCRIPTION

From Amat et al., Nature Methods, 2014*:

"The comprehensive reconstruction of cell lineages in complex multicellular organisms is a central goal of developmental biology. We present an open-source computational framework for segmentation and tracking of cell nuclei with high accuracy and speed. We demonstrate its (1) generality, by reconstructing cell lineages in four-dimensional, terabyte-sized image data of fruit-fly, zebrafish and mouse embryos, acquired with three different types of fluorescence microscopes, (2) scalability, by analyzing advanced stages of development with up to 20,000 cells per time point, at 26,000 cells min-1 on a single computer workstation, and (3) ease of use, by adjusting only two parameters across all data sets and providing visualization and editing tools for efficient data curation. Our approach achieves on average 97.0% linkage accuracy across all species and imaging modalities."

*Please cite this paper if you use this code for your research

Audience

Science/Research, End Users/Desktop


User interface

Console/Terminal


Programming Language

C++, C



This is an application that can also be fetched from https://sourceforge.net/projects/tgmm/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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