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Genome Sequence-Independent Identification of RNA Editing Sites
High-throughput RNA sequencing (RNA-Seq) provides single-nucleotide information that makes it a powerful tool for prediction of RNA editome. A new method, GIREMI, predicts RNA editomes (mainly A-to-I editing) accurately and sensitively using a single RNA-Seq data set, which does not require sample-s...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382388/ https://www.ncbi.nlm.nih.gov/pubmed/25730491 http://dx.doi.org/10.1038/nmeth.3314 |
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author | Zhang, Qing Xiao, Xinshu |
author_facet | Zhang, Qing Xiao, Xinshu |
author_sort | Zhang, Qing |
collection | PubMed |
description | High-throughput RNA sequencing (RNA-Seq) provides single-nucleotide information that makes it a powerful tool for prediction of RNA editome. A new method, GIREMI, predicts RNA editomes (mainly A-to-I editing) accurately and sensitively using a single RNA-Seq data set, which does not require sample-specific genome sequence data or high sequencing depth. Using GIREMI, we observed prevailing tissue-specificity of RNA editing and interesting evolutionary patterns of editing sites in human population. |
format | Online Article Text |
id | pubmed-4382388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
record_format | MEDLINE/PubMed |
spelling | pubmed-43823882015-10-01 Genome Sequence-Independent Identification of RNA Editing Sites Zhang, Qing Xiao, Xinshu Nat Methods Article High-throughput RNA sequencing (RNA-Seq) provides single-nucleotide information that makes it a powerful tool for prediction of RNA editome. A new method, GIREMI, predicts RNA editomes (mainly A-to-I editing) accurately and sensitively using a single RNA-Seq data set, which does not require sample-specific genome sequence data or high sequencing depth. Using GIREMI, we observed prevailing tissue-specificity of RNA editing and interesting evolutionary patterns of editing sites in human population. 2015-03-02 2015-04 /pmc/articles/PMC4382388/ /pubmed/25730491 http://dx.doi.org/10.1038/nmeth.3314 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Zhang, Qing Xiao, Xinshu Genome Sequence-Independent Identification of RNA Editing Sites |
title | Genome Sequence-Independent Identification of RNA Editing Sites |
title_full | Genome Sequence-Independent Identification of RNA Editing Sites |
title_fullStr | Genome Sequence-Independent Identification of RNA Editing Sites |
title_full_unstemmed | Genome Sequence-Independent Identification of RNA Editing Sites |
title_short | Genome Sequence-Independent Identification of RNA Editing Sites |
title_sort | genome sequence-independent identification of rna editing sites |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382388/ https://www.ncbi.nlm.nih.gov/pubmed/25730491 http://dx.doi.org/10.1038/nmeth.3314 |
work_keys_str_mv | AT zhangqing genomesequenceindependentidentificationofrnaeditingsites AT xiaoxinshu genomesequenceindependentidentificationofrnaeditingsites |