Towards accurate imputation of quantitative genetic interactions
Recent technological breakthroughs have enabled high-throughput quantitative measurements of hundreds of thousands of genetic interactions among hundreds of genes in Saccharomyces cerevisiae. However, these assays often fail to measure the genetic interactions among up to 40% of the studied gene pai...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Springer (Biomed Central Ltd.)
2012
|
| Online Access: | http://hdl.handle.net/1721.1/69538 |
| _version_ | 1811074549975875584 |
|---|---|
| author | Krogan, Nevan J. Shamir, Ron Ulitsky, Igor |
| author2 | Whitehead Institute for Biomedical Research |
| author_facet | Whitehead Institute for Biomedical Research Krogan, Nevan J. Shamir, Ron Ulitsky, Igor |
| author_sort | Krogan, Nevan J. |
| collection | MIT |
| description | Recent technological breakthroughs have enabled high-throughput quantitative measurements of hundreds of thousands of genetic interactions among hundreds of genes in Saccharomyces cerevisiae. However, these assays often fail to measure the genetic interactions among up to 40% of the studied gene pairs. Here we present a novel method, which combines genetic interaction data together with diverse genomic data, to quantitatively impute these missing interactions. We also present data on almost 190,000 novel interactions. |
| first_indexed | 2024-09-23T09:51:35Z |
| format | Article |
| id | mit-1721.1/69538 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:51:35Z |
| publishDate | 2012 |
| publisher | Springer (Biomed Central Ltd.) |
| record_format | dspace |
| spelling | mit-1721.1/695382022-09-26T14:07:27Z Towards accurate imputation of quantitative genetic interactions Krogan, Nevan J. Shamir, Ron Ulitsky, Igor Whitehead Institute for Biomedical Research Ulitsky, Igor Ulitsky, Igor Recent technological breakthroughs have enabled high-throughput quantitative measurements of hundreds of thousands of genetic interactions among hundreds of genes in Saccharomyces cerevisiae. However, these assays often fail to measure the genetic interactions among up to 40% of the studied gene pairs. Here we present a novel method, which combines genetic interaction data together with diverse genomic data, to quantitatively impute these missing interactions. We also present data on almost 190,000 novel interactions. Tel Aviv University. Edmond J, Safra Bioinformatics Center Israel Science Foundation (grant no. 802/08) Raymond and Beverley Sackler Foundation 2012-03-01T17:09:00Z 2012-03-01T17:09:00Z 2009-12 2009-11 Article http://purl.org/eprint/type/JournalArticle 1465-6906 1474-7596 http://hdl.handle.net/1721.1/69538 Ulitsky, Igor, Nevan J Krogan, and Ron Shamir. “Towards Accurate Imputation of Quantitative Genetic Interactions.” Genome Biology 10.12 (2009): R140. Web. 1 Mar. 2012. en_US http://dx.doi.org/10.1186/gb-2009-10-12-r140 Genome Biology Creative Commons Attribution http://creativecommons.org/licenses/by/2.0 application/pdf Springer (Biomed Central Ltd.) BioMed Central |
| spellingShingle | Krogan, Nevan J. Shamir, Ron Ulitsky, Igor Towards accurate imputation of quantitative genetic interactions |
| title | Towards accurate imputation of quantitative genetic interactions |
| title_full | Towards accurate imputation of quantitative genetic interactions |
| title_fullStr | Towards accurate imputation of quantitative genetic interactions |
| title_full_unstemmed | Towards accurate imputation of quantitative genetic interactions |
| title_short | Towards accurate imputation of quantitative genetic interactions |
| title_sort | towards accurate imputation of quantitative genetic interactions |
| url | http://hdl.handle.net/1721.1/69538 |
| work_keys_str_mv | AT krogannevanj towardsaccurateimputationofquantitativegeneticinteractions AT shamirron towardsaccurateimputationofquantitativegeneticinteractions AT ulitskyigor towardsaccurateimputationofquantitativegeneticinteractions |