TANGO: a generic tool for high-throughput 3D image analysis for studying nuclear organization.
TANGO: a generic tool for high-throughput 3D image analysis for studying nuclear organization.
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DOI:
10.1093/bioinformatics/btt276
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发表时间:
2013-07-15
期刊:
影响因子:
--
通讯作者:
Boudier T
中科院分区:
文献类型:
--
作者:
Ollion J;Cochennec J;Loll F;Escudé C;Boudier T
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. Results: Here, we describe Tools for Analysis of Nuclear Genome Organization (TANGO), an image analysis tool dedicated to the study of nuclear architecture. TANGO is a coherent framework allowing biologists to perform the complete analysis process of 3D fluorescence images by combining two environments: ImageJ (http://imagej.nih.gov/ij/) for image processing and quantitative analysis and R (http://cran.r-project.org) for statistical processing of measurement results. It includes an intuitive user interface providing the means to precisely build a segmentation procedure and set-up analyses, without possessing programming skills. TANGO is a versatile tool able to process large sets of images, allowing quantitative study of nuclear organization. Availability: TANGO is composed of two programs: (i) an ImageJ plug-in and (ii) a package (rtango) for R. They are both free and open source, available (http://biophysique.mnhn.fr/tango) for Linux, Microsoft Windows and Macintosh OSX. Distribution is under the GPL v.2 licence. Contact: thomas.boudier@snv.jussieu.fr Supplementary information: Supplementary data are available at Bioinformatics online.
影响因子:
5.8
作者:
Kamentsky, Lee;Jones, Thouis R.;Carpenter, Anne E.
通讯作者:
Carpenter, Anne E.
影响因子:
5.8
作者:
Shirley, James W.;Ty, Sereyvathana;Gilbert, David M.
通讯作者:
Gilbert, David M.
影响因子:
5.8
作者:
Iannuccelli, E.;Mompart, F.;Boudier, T.
通讯作者:
Boudier, T.