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CellProfiler Analyst: data exploration and analysis software for complex image-based screens
BACKGROUND: Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment. RESULTS: Here, we describe CellProfiler Analyst, open-source software for the interactive exploration and analysis of multidimensional data, particul...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2614436/ https://www.ncbi.nlm.nih.gov/pubmed/19014601 http://dx.doi.org/10.1186/1471-2105-9-482 |
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author | Jones, Thouis R Kang, In Han Wheeler, Douglas B Lindquist, Robert A Papallo, Adam Sabatini, David M Golland, Polina Carpenter, Anne E |
author_facet | Jones, Thouis R Kang, In Han Wheeler, Douglas B Lindquist, Robert A Papallo, Adam Sabatini, David M Golland, Polina Carpenter, Anne E |
author_sort | Jones, Thouis R |
collection | PubMed |
description | BACKGROUND: Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment. RESULTS: Here, we describe CellProfiler Analyst, open-source software for the interactive exploration and analysis of multidimensional data, particularly data from high-throughput, image-based experiments. CONCLUSION: The system enables interactive data exploration for image-based screens and automated scoring of complex phenotypes that require combinations of multiple measured features per cell. |
format | Text |
id | pubmed-2614436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26144362009-01-07 CellProfiler Analyst: data exploration and analysis software for complex image-based screens Jones, Thouis R Kang, In Han Wheeler, Douglas B Lindquist, Robert A Papallo, Adam Sabatini, David M Golland, Polina Carpenter, Anne E BMC Bioinformatics Software BACKGROUND: Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment. RESULTS: Here, we describe CellProfiler Analyst, open-source software for the interactive exploration and analysis of multidimensional data, particularly data from high-throughput, image-based experiments. CONCLUSION: The system enables interactive data exploration for image-based screens and automated scoring of complex phenotypes that require combinations of multiple measured features per cell. BioMed Central 2008-11-15 /pmc/articles/PMC2614436/ /pubmed/19014601 http://dx.doi.org/10.1186/1471-2105-9-482 Text en Copyright © 2008 Jones et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Jones, Thouis R Kang, In Han Wheeler, Douglas B Lindquist, Robert A Papallo, Adam Sabatini, David M Golland, Polina Carpenter, Anne E CellProfiler Analyst: data exploration and analysis software for complex image-based screens |
title | CellProfiler Analyst: data exploration and analysis software for complex image-based screens |
title_full | CellProfiler Analyst: data exploration and analysis software for complex image-based screens |
title_fullStr | CellProfiler Analyst: data exploration and analysis software for complex image-based screens |
title_full_unstemmed | CellProfiler Analyst: data exploration and analysis software for complex image-based screens |
title_short | CellProfiler Analyst: data exploration and analysis software for complex image-based screens |
title_sort | cellprofiler analyst: data exploration and analysis software for complex image-based screens |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2614436/ https://www.ncbi.nlm.nih.gov/pubmed/19014601 http://dx.doi.org/10.1186/1471-2105-9-482 |
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