Evidence map›Paper›PMID 28403238›Full record

ArticlePloS one2017

Mobile Genome Express (MGE): A comprehensive automatic genetic analyses pipeline with a mobile device.

Jun-Hee Yoon, Thomas W Kim, Pedro Mendez, David M Jablons, Il-Jin Kim

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jun-Hee YoonThoracic Oncology Laboratory, Department of Surgery, University of California San Francisco, San Francisco, California, United States of America.
Thomas W KimCureSeq Inc., Brisbane, California, United States of America.
Pedro MendezThoracic Oncology Laboratory, Department of Surgery, University of California San Francisco, San Francisco, California, United States of America.
David M JablonsThoracic Oncology Laboratory, Department of Surgery, University of California San Francisco, San Francisco, California, United States of America.
Il-Jin KimThoracic Oncology Laboratory, Department of Surgery, University of California San Francisco, San Francisco, California, United States of America.ORCID http://orcid.org/0000-0002-8403-0439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of next-generation sequencing (NGS) technology allows to sequence whole exomes or genome. However, data analysis is still the biggest bottleneck for its wide implementation. Most laboratories still depend on manual procedures for data handling and analyses, which translates into a delay and decreased efficiency in the delivery of NGS results to doctors and patients. Thus, there is high demand for developing an automatic and an easy-to-use NGS data analyses system. We developed comprehensive, automatic genetic analyses controller named Mobile Genome Express (MGE) that works in smartphones or other mobile devices. MGE can handle all the steps for genetic analyses, such as: sample information submission, sequencing run quality check from the sequencer, secured data transfer and results review. We sequenced an Actrometrix control DNA containing multiple proven human mutations using a targeted sequencing panel, and the whole analysis was managed by MGE, and its data reviewing program called ELECTRO. All steps were processed automatically except for the final sequencing review procedure with ELECTRO to confirm mutations. The data analysis process was completed within several hours. We confirmed the mutations that we have identified were consistent with our previous results obtained by using multi-step, manual pipelines.

Indexed as

DNA Mutational AnalysisComputational BiologyComputers, HandheldHigh-Throughput Nucleotide SequencingHumansSoftware

Identifiers

PMID28403238
PMCPMC5389793

What OpenQuestion holds

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LicenceCC BY
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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.