Published in

Oxford University Press (OUP), Bioinformatics, 14(29), p. 1840-1841

DOI: 10.1093/bioinformatics/btt276

Links

Tools

Export citation

Search in Google Scholar

TANGO: a generic tool for high-throughput 3D image analysis for studying nuclear organization

Journal article published in 2013 by Jean Ollion, Julien Cochennec, François Loll, Christophe Escudé, Thomas Boudier ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

Motivation: The cell nucleus is a highly organized cellular organelle that contains the genetic material. The study of nuclear architecture has become an important field of cellular biology. Extracting quantitative data from 3D fluorescence imaging helps understand the functions of different nuclear compartments. However, such approaches are limited by the requirement for processing and analyzing large sets of images.