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https://doi.org/10.1101/088591...
Article . 2016 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PLANT PHYSIOLOGY
Article
Data sources: UnpayWall
PLANT PHYSIOLOGY
Article . 2017 . Peer-reviewed
Data sources: Crossref
UNC Dataverse
Article . 2017
Data sources: Datacite
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A SIMPLE pipeline for mapping point mutations

Authors: Valdes, Manuel; Benfey, Philip N.; Modliszewski, Jennifer L.; Wachsman, Guy;

A SIMPLE pipeline for mapping point mutations

Abstract

Abstract A forward genetic screen is one of the best methods for revealing the regulatory functions of genes. In plants, this technique is highly efficient since it is relatively easy to grow and screen the phenotypes of hundreds or thousands of individuals. The cost-efficiency and ease of data production afforded by next-generation sequencing techniques have created new opportunities for mapping induced mutations. The principles of genetic mapping remain the same. However, the details have changed, which allows for rapid mapping of causal mutations. Current mapping tools are often not user-friendly and complicated or require extensive preparation steps. To simplify the process of mapping new mutations, we developed a pipeline that takes next generation sequencing fastq files as input, calls on several well-established and freely available genome-analysis tools, and outputs the most likely causal DNA change(s). The pipeline has been validated in Arabidopsis and can be readily applied to other species.

Keywords

Seedlings, Arabidopsis, Chromosome Mapping, Point Mutation, Alleles, Chromosomes, Plant

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    54
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%
Green
hybrid