Erratum: Epitranscriptome sequencing technologies: decoding RNA modifications
نویسندگان
چکیده
منابع مشابه
RMBase v2.0: deciphering the map of RNA modifications from epitranscriptome sequencing data
More than 100 distinct chemical modifications to RNA have been characterized so far. However, the prevalence, mechanisms and functions of various RNA modifications remain largely unknown. To provide transcriptome-wide landscapes of RNA modifications, we developed the RMBase v2.0 (http://rna.sysu.edu.cn/rmbase/), which is a comprehensive database that integrates epitranscriptome sequencing data ...
متن کاملRMBase: a resource for decoding the landscape of RNA modifications from high-throughput sequencing data
Although more than 100 different types of RNA modifications have been characterized across all living organisms, surprisingly little is known about the modified positions and their functions. Recently, various high-throughput modification sequencing methods have been developed to identify diverse post-transcriptional modifications of RNA molecules. In this study, we developed a novel resource, ...
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Exploration of the epitranscriptome requires the development of highly sensitive and accurate technologies in order to elucidate the contributions of the more than 100 RNA modifications to cell processes. A highly sensitive and accurate ultra-high performance liquid chromatography-tandem mass spectrometry method was developed to simultaneously detect and quantify 28 modified and four major nucl...
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The discovery of mechanisms that alter genetic information via RNA editing or introducing covalent RNA modifications points towards a complexity in gene expression that challenges long-standing concepts. Understanding the biology of RNA modifications represents one of the next frontiers in molecular biology. To this date, over 130 different RNA modifications have been identified, and improved m...
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UNLABELLED Chimira is a web-based system for microRNA (miRNA) analysis from small RNA-Seq data. Sequences are automatically cleaned, trimmed, size selected and mapped directly to miRNA hairpin sequences. This generates count-based miRNA expression data for subsequent statistical analysis. Moreover, it is capable of identifying epi-transcriptomic modifications in the input sequences. Supported m...
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ژورنال
عنوان ژورنال: Nature Methods
سال: 2017
ISSN: 1548-7091,1548-7105
DOI: 10.1038/nmeth0317-323c