Literature DB >> 33835460

MeT-DB V2.0: Elucidating Context-Specific Functions of N6-Methyl-Adenosine Methyltranscriptome.

Hui Liu1, Jiani Ma1, Jia Meng2,3, Lin Zhang4.   

Abstract

N6-methyladenosine (m6A) is the most prevalent posttranscriptional modification in eukaryotes and plays a pivotal role in various biological processes. A knowledge base with the systematic collection and curation of context specific transcriptome-wide methylations is critical for elucidating their biological functions as well as for developing bioinformatics tools. In this chapter, we present a comprehensive platform MeT-DB V2.0 for elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Met-DB V2.0 database contains context specific m6A peaks and single-base sites predicted from 185 samples for 7 species from 26 independent studies. Moreover, it is also integrated with a new database for targets of m6A readers, erasers and writers and expanded with more collections of functional data. The Met-DB V2.0 web interface and genome browser provide more friendly, powerful, and informative ways to query and visualize the data. More importantly, MeT-DB V2.0 offers for the first time a series of tools specifically designed for understanding m6A functions. The MeT-DB V2.0 web server is freely available at: http://compgenomics.utsa.edu/MeTDB and www.xjtlu.edu.cn/metdb2 .

Entities:  

Keywords:  Epitranscriptome; MicroRNA; N6-methyladenosine (m6A); RNA modifications; Single-nucleotide polymorphisms (SNPs); Splicing factors

Year:  2021        PMID: 33835460     DOI: 10.1007/978-1-0716-1307-8_27

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


  1 in total

1.  Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features.

Authors:  Xiaodong Cui; Zhen Wei; Lin Zhang; Hui Liu; Lei Sun; Shao-Wu Zhang; Yufei Huang; Jia Meng
Journal:  Biomed Res Int       Date:  2016-04-28       Impact factor: 3.411

  1 in total

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