Literature DB >> 32729072

Computational Detection of Plant RNA Editing Events.

Alejandro A Edera1, M Virginia Sanchez-Puerta2,3.   

Abstract

Computers are able to systematically exploit RNA-seq data allowing us to efficiently detect RNA editing sites in a genome-wide scale. This chapter introduces a very flexible computational framework for detecting RNA editing sites in plant organelles. This framework comprises three major steps: RNA-seq data processing, RNA read alignment, and RNA editing site detection. Each step is discussed in sufficient detail to be implemented by the reader. As a study case, the framework will be used with publicly available sequencing data to detect C-to-U RNA editing sites in the coding sequences of the mitochondrial genome of Nicotiana tabacum.

Entities:  

Keywords:  Land plant; Mitochondrial genome; Nicotiana tabacum; RNA editing; RNA read alignment; RNA sequencing

Year:  2021        PMID: 32729072     DOI: 10.1007/978-1-0716-0787-9_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Characterization and phylogenetic analysis of the complete mitochondrial genome sequence of Diospyros oleifera, the first representative from the family Ebenaceae.

Authors:  Yang Xu; Yi Dong; Wenqiang Cheng; Kaiyun Wu; Haidong Gao; Lei Liu; Lei Xu; Bangchu Gong
Journal:  Heliyon       Date:  2022-07-06

2.  Assembly and comparative analysis of the complete mitochondrial genome of Bupleurum chinense DC.

Authors:  Yonggang Qiao; Xinrui Zhang; Zheng Li; Yun Song; Zhe Sun
Journal:  BMC Genomics       Date:  2022-09-21       Impact factor: 4.547

  2 in total

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