Extracting quantitative genetic interaction phenotypes from matrix combinatorial RNAi
Systematic measurement of genetic interactions by combinatorial RNAi (co-RNAi) is a powerful tool for mapping functional modules and discovering components. It also provides insights into the role of epistasis on the way from genotype to phenotype. The interpretation of co-RNAi data requires computa...
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| Main Authors: | , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
17 August 2011
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| In: |
BMC bioinformatics
Year: 2011, Volume: 12, Pages: 1-10 |
| ISSN: | 1471-2105 |
| DOI: | 10.1186/1471-2105-12-342 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/1471-2105-12-342
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| Author Notes: | Elin Axelsson, Thomas Sandmann, Thomas Horn, Michael Boutros, Wolfgang Huber and Bernd Fischer |
| Summary: | Systematic measurement of genetic interactions by combinatorial RNAi (co-RNAi) is a powerful tool for mapping functional modules and discovering components. It also provides insights into the role of epistasis on the way from genotype to phenotype. The interpretation of co-RNAi data requires computational and statistical analysis in order to detect interactions reliably and sensitively. |
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| Item Description: | Gesehen am 25.03.2022 |
| Physical Description: | Online Resource |
| ISSN: | 1471-2105 |
| DOI: | 10.1186/1471-2105-12-342 |