Literature DB >> 34089018

Mapping ribonucleotides embedded in genomic DNA to single-nucleotide resolution using Ribose-Map.

Alli L Gombolay1, Francesca Storici2.   

Abstract

The most common nonstandard nucleotides found in genomic DNA are ribonucleotides. Although ribonucleotides are frequently incorporated into DNA by replicative DNA polymerases, very little is known about the distribution and signatures of ribonucleotides incorporated into DNA. Recent advances in high-throughput ribonucleotide sequencing can capture the exact locations of ribonucleotides in genomic DNA. Ribose-Map is a user-friendly, standardized bioinformatics toolkit for the comprehensive analysis of ribonucleotide sequencing experiments. It allows researchers to map the locations of ribonucleotides in DNA to single-nucleotide resolution and identify biological signatures of ribonucleotide incorporation. In addition, it can be applied to data generated using any currently available high-throughput ribonucleotide sequencing technique, thus standardizing the analysis of ribonucleotide sequencing experiments and allowing direct comparisons of results. This protocol describes in detail how to use Ribose-Map to analyze ribonucleotide sequencing data, including preparing the reads for analysis, locating the genomic coordinates of ribonucleotides, exploring the genome-wide distribution of ribonucleotides, determining the nucleotide sequence context of ribonucleotides and identifying hotspots of ribonucleotide incorporation. Ribose-Map does not require background knowledge of ribonucleotide sequencing analysis and assumes only basic command-line skills. The protocol requires less than 3 h of computing time for most datasets and ~30 min of hands-on time. Ribose-Map is available at https://github.com/agombolay/ribose-map .

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Year:  2021        PMID: 34089018      PMCID: PMC9444191          DOI: 10.1038/s41596-021-00553-x

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   17.021


  12 in total

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2.  JBrowse: a next-generation genome browser.

Authors:  Mitchell E Skinner; Andrew V Uzilov; Lincoln D Stein; Christopher J Mungall; Ian H Holmes
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3.  Evaluation and assessment of read-mapping by multiple next-generation sequencing aligners based on genome-wide characteristics.

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Journal:  Genomics       Date:  2017-03-09       Impact factor: 5.736

4.  Ribose-seq: global mapping of ribonucleotides embedded in genomic DNA.

Authors:  Kyung Duk Koh; Sathya Balachander; Jay R Hesselberth; Francesca Storici
Journal:  Nat Methods       Date:  2015-01-26       Impact factor: 28.547

5.  BEDTools: a flexible suite of utilities for comparing genomic features.

Authors:  Aaron R Quinlan; Ira M Hall
Journal:  Bioinformatics       Date:  2010-01-28       Impact factor: 6.937

6.  Tracking replication enzymology in vivo by genome-wide mapping of ribonucleotide incorporation.

Authors:  Anders R Clausen; Scott A Lujan; Adam B Burkholder; Clinton D Orebaugh; Jessica S Williams; Maryam F Clausen; Ewa P Malc; Piotr A Mieczkowski; David C Fargo; Duncan J Smith; Thomas A Kunkel
Journal:  Nat Struct Mol Biol       Date:  2015-01-26       Impact factor: 15.369

7.  A global profile of replicative polymerase usage.

Authors:  Yasukazu Daigaku; Andrea Keszthelyi; Carolin A Müller; Izumi Miyabe; Tony Brooks; Renata Retkute; Mike Hubank; Conrad A Nieduszynski; Antony M Carr
Journal:  Nat Struct Mol Biol       Date:  2015-02-09       Impact factor: 15.369

8.  Roles for DNA polymerase δ in initiating and terminating leading strand DNA replication.

Authors:  Zhi-Xiong Zhou; Scott A Lujan; Adam B Burkholder; Marta A Garbacz; Thomas A Kunkel
Journal:  Nat Commun       Date:  2019-09-05       Impact factor: 14.919

9.  Ribonucleotide incorporation in yeast genomic DNA shows preference for cytosine and guanosine preceded by deoxyadenosine.

Authors:  Sathya Balachander; Alli L Gombolay; Taehwan Yang; Penghao Xu; Gary Newnam; Havva Keskin; Waleed M M El-Sayed; Anton V Bryksin; Sijia Tao; Nicole E Bowen; Raymond F Schinazi; Baek Kim; Kyung Duk Koh; Fredrik O Vannberg; Francesca Storici
Journal:  Nat Commun       Date:  2020-05-15       Impact factor: 14.919

10.  Ribose-Map: a bioinformatics toolkit to map ribonucleotides embedded in genomic DNA.

Authors:  Alli L Gombolay; Fredrik O Vannberg; Francesca Storici
Journal:  Nucleic Acids Res       Date:  2019-01-10       Impact factor: 16.971

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  1 in total

1.  RESCOT: Restriction Enzyme Set and Combination Optimization Tools for rNMP Capture Techniques.

Authors:  Penghao Xu; Francesca Storici
Journal:  Theor Comput Sci       Date:  2021-08-12       Impact factor: 0.827

  1 in total

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