Evidence map›Paper›PMID 29568413›Full record

ArticleGenes & genomics2018

Performance evaluation method for read mapping tool in clinical panel sequencing.

Hojun Lee, Ki-Wook Lee, Taeseob Lee, Donghyun Park, Jongsuk Chung, Chung Lee, Woong-Yang Park, Dae-Soon Son

Abstract read
In one paragraph

Article in Genes & genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

8 authors.

Hojun Lee *1Samsung Genome Institute (SGI), Samsung Medical Center (SMC), Seoul, 06351 South Korea.
Ki-Wook Lee *1Samsung Genome Institute (SGI), Samsung Medical Center (SMC), Seoul, 06351 South Korea.
Taeseob Lee1Samsung Genome Institute (SGI), Samsung Medical Center (SMC), Seoul, 06351 South Korea.
Donghyun Park1Samsung Genome Institute (SGI), Samsung Medical Center (SMC), Seoul, 06351 South Korea.
Jongsuk Chung1Samsung Genome Institute (SGI), Samsung Medical Center (SMC), Seoul, 06351 South Korea.
Chung Lee1Samsung Genome Institute (SGI), Samsung Medical Center (SMC), Seoul, 06351 South Korea.
Woong-Yang Park1Samsung Genome Institute (SGI), Samsung Medical Center (SMC), Seoul, 06351 South Korea.
Dae-Soon Son1Samsung Genome Institute (SGI), Samsung Medical Center (SMC), Seoul, 06351 South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to the rapid advancement in Next-Generation Sequencing (NGS) technology, clinical panel sequencing is being used increasingly in clinical studies and tests. However, tools that are used in NGS data analysis have not been comparatively evaluated in performance for panel sequencing. This study aimed to evaluate the tools used in the alignment process, the first procedure in bioinformatics analysis, by comparing tools that have been widely used with ones that have been introduced recently. With the accumulated panel sequencing data, detected variant lists were cataloged and inserted into simulated reads produced from the reference genome (h19). The amount of unmapped reads and misaligned reads, mapping quality distribution, and runtime were measured as standards for comparison. As the most widely used tools, Bowtie2 and BWA-MEM each showed explicit performance with AUC of 0.9984 and 0.9970 respectively. Kart, maintaining superior runtime and less number of misaligned read, also similarly possessed high level of AUC (0.9723). Such selection and optimization method of tools appropriate for panel sequencing can be utilized for fields requiring error minimization, such as clinical application and liquid biopsy studies.

Indexed as

Computer SimulationGenome, HumanSoftwareGenomicsHigh-Throughput Nucleotide SequencingHumansSequence AlignmentSequence Analysis, DNAAlignment toolCancerSCANClinical panel sequencingNext-Generation SequencingRead mapping

Identifiers

PMID29568413
PMCPMC5846869

What OpenQuestion holds

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Registered trials

None linked

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.