Evidence map›Paper›PMID 25705172›Full record

ArticleGenomics & informatics2014

MAP: Mutation Arranger for Defining Phenotype-Related Single-Nucleotide Variant.

In-Pyo Baek, Yong-Bok Jeong, Seung-Hyun Jung, Yeun-Jun Chung

Abstract read
In one paragraph

Article in Genomics & informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

In-Pyo BaekDepartment of Microbiology, Integrated Research Center for Genome Polymorphism (IRCGP), The Catholic University of Korea College of Medicine, Seoul 137-701, Korea.
Yong-Bok JeongQuantum Technology, Seongnam 462-807, Korea.
Seung-Hyun JungDepartment of Microbiology, Integrated Research Center for Genome Polymorphism (IRCGP), The Catholic University of Korea College of Medicine, Seoul 137-701, Korea.
Yeun-Jun ChungDepartment of Microbiology, Integrated Research Center for Genome Polymorphism (IRCGP), The Catholic University of Korea College of Medicine, Seoul 137-701, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) is widely used to identify the causative mutations underlying diverse human diseases, including cancers, which can be useful for discovering the diagnostic and therapeutic targets. Currently, a number of single-nucleotide variant (SNV)-calling algorithms are available; however, there is no tool for visualizing the recurrent and phenotype-specific mutations for general researchers. In this study, in order to support defining the recurrent mutations or phenotype-specific mutations from NGS data of a group of cancers with diverse phenotypes, we aimed to develop a user-friendly tool, named mutation arranger for defining phenotype-related SNV (MAP). MAP is a user-friendly program with multiple functions that supports the determination of recurrent or phenotype-specific mutations and provides graphic illustration images to the users. Its operation environment, the Microsoft Windows environment, enables more researchers who cannot operate Linux to define clinically meaningful mutations with NGS data from cancer cohorts.

Indexed as

cancermutationnext-generation sequencing (NGS)sequence snalysissingle-nucleotide variant (SNV)software

Identifiers

PMID25705172
PMCPMC4330268

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.