<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang H</submitter><funding>NHGRI NIH HHS</funding><pagination>1880-2</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4908323</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>32(12)</volume><pubmed_abstract>&lt;h4>Unlabelled&lt;/h4>: Ribosome profiling is a recently developed high-throughput sequencing technique that captures approximately 30 bp long ribosome-protected mRNA fragments during translation. Because of alternative splicing and repetitive sequences, a ribosome-protected read may map to many places in the transcriptome, leading to discarded or arbitrary mappings when standard approaches are used. We present a technique and software that addresses this problem by assigning reads to potential origins proportional to estimated transcript abundance. This yields a more accurate estimate of ribosome profiles compared with a naïve mapping.&lt;h4>Availability and implementation&lt;/h4>Ribomap is available as open source at http://www.cs.cmu.edu/∼ckingsf/software/ribomap&lt;h4>Contact&lt;/h4>carlk@cs.cmu.edu&lt;h4>Supplementary information&lt;/h4>Supplementary data are available at Bioinformatics online.</pubmed_abstract><journal>Bioinformatics (Oxford, England)</journal><pubmed_title>Isoform-level ribosome occupancy estimation guided by transcript abundance with Ribomap.</pubmed_title><pmcid>PMC4908323</pmcid><funding_grant_id>R21 HG006913</funding_grant_id><funding_grant_id>R01 HG007104</funding_grant_id><pubmed_authors>Kingsford C</pubmed_authors><pubmed_authors>McManus J</pubmed_authors><pubmed_authors>Wang H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Isoform-level ribosome occupancy estimation guided by transcript abundance with Ribomap.</name><description>&lt;h4>Unlabelled&lt;/h4>: Ribosome profiling is a recently developed high-throughput sequencing technique that captures approximately 30 bp long ribosome-protected mRNA fragments during translation. Because of alternative splicing and repetitive sequences, a ribosome-protected read may map to many places in the transcriptome, leading to discarded or arbitrary mappings when standard approaches are used. We present a technique and software that addresses this problem by assigning reads to potential origins proportional to estimated transcript abundance. This yields a more accurate estimate of ribosome profiles compared with a naïve mapping.&lt;h4>Availability and implementation&lt;/h4>Ribomap is available as open source at http://www.cs.cmu.edu/∼ckingsf/software/ribomap&lt;h4>Contact&lt;/h4>carlk@cs.cmu.edu&lt;h4>Supplementary information&lt;/h4>Supplementary data are available at Bioinformatics online.</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Jun</publication><modification>2024-11-20T17:14:15.766Z</modification><creation>2019-03-27T02:16:04Z</creation></dates><accession>S-EPMC4908323</accession><cross_references><pubmed>27153676</pubmed><doi>10.1093/bioinformatics/btw085</doi></cross_references></HashMap>