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Analysis of cell-based RNAi screens
RNA interference (RNAi) screening is a powerful technology for functional characterization of biological pathways. Interpretation of RNAi screens requires computational and statistical analysis techniques. We describe a method that integrates all steps to generate a scored phenotype list from raw da...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779553/ https://www.ncbi.nlm.nih.gov/pubmed/16869968 http://dx.doi.org/10.1186/gb-2006-7-7-r66 |
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author | Boutros, Michael Brás, Lígia P Huber, Wolfgang |
author_facet | Boutros, Michael Brás, Lígia P Huber, Wolfgang |
author_sort | Boutros, Michael |
collection | PubMed |
description | RNA interference (RNAi) screening is a powerful technology for functional characterization of biological pathways. Interpretation of RNAi screens requires computational and statistical analysis techniques. We describe a method that integrates all steps to generate a scored phenotype list from raw data. It is implemented in an open-source Bioconductor/R package, cellHTS (). The method is useful for the analysis and documentation of individual RNAi screens. Moreover, it is a prerequisite for the integration of multiple experiments. |
format | Text |
id | pubmed-1779553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-17795532007-01-19 Analysis of cell-based RNAi screens Boutros, Michael Brás, Lígia P Huber, Wolfgang Genome Biol Software RNA interference (RNAi) screening is a powerful technology for functional characterization of biological pathways. Interpretation of RNAi screens requires computational and statistical analysis techniques. We describe a method that integrates all steps to generate a scored phenotype list from raw data. It is implemented in an open-source Bioconductor/R package, cellHTS (). The method is useful for the analysis and documentation of individual RNAi screens. Moreover, it is a prerequisite for the integration of multiple experiments. BioMed Central 2006 2006-07-25 /pmc/articles/PMC1779553/ /pubmed/16869968 http://dx.doi.org/10.1186/gb-2006-7-7-r66 Text en Copyright © 2006 Boutros 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 Boutros, Michael Brás, Lígia P Huber, Wolfgang Analysis of cell-based RNAi screens |
title | Analysis of cell-based RNAi screens |
title_full | Analysis of cell-based RNAi screens |
title_fullStr | Analysis of cell-based RNAi screens |
title_full_unstemmed | Analysis of cell-based RNAi screens |
title_short | Analysis of cell-based RNAi screens |
title_sort | analysis of cell-based rnai screens |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779553/ https://www.ncbi.nlm.nih.gov/pubmed/16869968 http://dx.doi.org/10.1186/gb-2006-7-7-r66 |
work_keys_str_mv | AT boutrosmichael analysisofcellbasedrnaiscreens AT brasligiap analysisofcellbasedrnaiscreens AT huberwolfgang analysisofcellbasedrnaiscreens |