The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
A strategy for extracting and analyzing large-scale quantitative epistatic interaction data
Open accessAbstract
Recently, approaches have been developed for high-throughput identification of synthetic sick/lethal gene pairs. However, these are only a specific example of the broader phenomenon of epistasis, wherein the presence of one mutation modulates the phenotype of another. We present analysis techniques for generating high-confidence quantitative epistasis scores from measurements made using synthetic genetic array and epistatic miniarray profile (E-MAP) technology, as well as several tools for higher-level analysis of the resulting data that are greatly enhanced by the quantitative score and detection of alleviating interactions.
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Cited by
Collins, S. R., Miller, K. M., Maas, N. L., Roguev, A., Fillingham, J., Chu, C. S., Schuldiner, M., Gebbia, M., Recht, J., Shales, M., et al. (2007) · Nature · doi:10.1038/nature05649 · Cited by 869
Self-citationEpistasis and quantitative traits: using model organisms to study gene–gene interactions
Mackay, T. F. C. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3627 · Cited by 833
Exploring genetic interactions and networks with yeast
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Jovičić, A., Mertens, J., Boeynaems, S., Bogaert, E., Chai, N., Yamada, S. B., Paul, J. W., Sun, S., Herdy, J. R., Bieri, G., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4085 · Cited by 598
The Yeast Deletion Collection: A Decade of Functional Genomics
Giaever, G., & Nislow, C. (2014) · Genetics · doi:10.1534/genetics.114.161620 · Cited by 481
Metadata
- Authors
- Collins, S. R., Schuldiner, M., Krogan, N. J., & Weissman, J. S.
- Venue
- Genome Biology
- Published
- 2006-07-21
- Volume
- 7
- Issue
- 7
- Pages
- R63-R63
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2130907642
- Cited by
- 310
- References
- 26
- FWCI
- 5.65
- Type
- journal article
- Language
- en
- Open access
- gold
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