Comparative survey of the relative impact of mRNA features on local ribosome profiling read density
Ribosome profiling data can suffer from uneven coverage which hampers estimation of elongation rates. Connor et al.present an enhanced data smoothing method for Ribo-seq data and highlight significant variability in sequence determinants of ribosome density in publicly available data sets.
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2016-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/ncomms12915 |
| _version_ | 1818992360861728768 |
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| author | Patrick B. F. O’Connor Dmitry E. Andreev Pavel V. Baranov |
| author_facet | Patrick B. F. O’Connor Dmitry E. Andreev Pavel V. Baranov |
| author_sort | Patrick B. F. O’Connor |
| collection | DOAJ |
| description | Ribosome profiling data can suffer from uneven coverage which hampers estimation of elongation rates. Connor et al.present an enhanced data smoothing method for Ribo-seq data and highlight significant variability in sequence determinants of ribosome density in publicly available data sets. |
| first_indexed | 2024-12-20T20:24:56Z |
| format | Article |
| id | doaj.art-42f88ac9182b471484c206f16074bb5e |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-20T20:24:56Z |
| publishDate | 2016-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-42f88ac9182b471484c206f16074bb5e2022-12-21T19:27:29ZengNature PortfolioNature Communications2041-17232016-10-017111210.1038/ncomms12915Comparative survey of the relative impact of mRNA features on local ribosome profiling read densityPatrick B. F. O’Connor0Dmitry E. Andreev1Pavel V. Baranov2School of Biochemistry and Cell Biology, University College CorkSchool of Biochemistry and Cell Biology, University College CorkSchool of Biochemistry and Cell Biology, University College CorkRibosome profiling data can suffer from uneven coverage which hampers estimation of elongation rates. Connor et al.present an enhanced data smoothing method for Ribo-seq data and highlight significant variability in sequence determinants of ribosome density in publicly available data sets.https://doi.org/10.1038/ncomms12915 |
| spellingShingle | Patrick B. F. O’Connor Dmitry E. Andreev Pavel V. Baranov Comparative survey of the relative impact of mRNA features on local ribosome profiling read density Nature Communications |
| title | Comparative survey of the relative impact of mRNA features on local ribosome profiling read density |
| title_full | Comparative survey of the relative impact of mRNA features on local ribosome profiling read density |
| title_fullStr | Comparative survey of the relative impact of mRNA features on local ribosome profiling read density |
| title_full_unstemmed | Comparative survey of the relative impact of mRNA features on local ribosome profiling read density |
| title_short | Comparative survey of the relative impact of mRNA features on local ribosome profiling read density |
| title_sort | comparative survey of the relative impact of mrna features on local ribosome profiling read density |
| url | https://doi.org/10.1038/ncomms12915 |
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