Operon mRNAs are organized into ORF-centric structures that predict translation efficiency.
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| Title: | Operon mRNAs are organized into ORF-centric structures that predict translation efficiency. |
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| Authors: | Burkhardt DH; Graduate Group in Biophysics, University of California, San Francisco, San Francisco, United States.; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States.; California Institute of Quantitative Biology, University of California, San Francisco, San Francisco, United States., Rouskin S; California Institute of Quantitative Biology, University of California, San Francisco, San Francisco, United States.; Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, United States.; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, United States., Zhang Y; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States.; Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, United States., Li GW; California Institute of Quantitative Biology, University of California, San Francisco, San Francisco, United States.; Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, United States.; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, United States., Weissman JS; California Institute of Quantitative Biology, University of California, San Francisco, San Francisco, United States.; Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, United States.; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, United States., Gross CA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States.; California Institute of Quantitative Biology, University of California, San Francisco, San Francisco, United States.; Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, United States. |
| Source: | ELife [Elife] 2017 Jan 31; Vol. 6. Date of Electronic Publication: 2017 Jan 31. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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