Literature DB >> 21751095

Bioinformatic approaches for identification of A-to-I editing sites.

Eli Eisenberg1.   

Abstract

The first discoveries of mammalian A-to-I RNA editing have been serendipitous. In conjunction with the fast advancement in sequencing technology, systematic methods for prediction and detection of editing sites have been developed, leading to the discovery of thousands of A-to-I editing sites. Here we review the state-of-the-art of these methods and discuss future directions.

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Year:  2012        PMID: 21751095     DOI: 10.1007/82_2011_147

Source DB:  PubMed          Journal:  Curr Top Microbiol Immunol        ISSN: 0070-217X            Impact factor:   4.291


  3 in total

1.  Investigating RNA editing in deep transcriptome datasets with REDItools and REDIportal.

Authors:  Claudio Lo Giudice; Marco Antonio Tangaro; Graziano Pesole; Ernesto Picardi
Journal:  Nat Protoc       Date:  2020-01-29       Impact factor: 13.491

2.  A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations.

Authors:  Te-Lun Mai; Trees-Juen Chuang
Journal:  Genome Res       Date:  2019-09-12       Impact factor: 9.043

3.  RED: A Java-MySQL Software for Identifying and Visualizing RNA Editing Sites Using Rule-Based and Statistical Filters.

Authors:  Yongmei Sun; Xing Li; Di Wu; Qi Pan; Yuefeng Ji; Hong Ren; Keyue Ding
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

  3 in total

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