Evidence map›Paper›PMID 29989075›Full record

ArticleInternational journal of biological sciences2018

GeneFuse: detection and visualization of target gene fusions from DNA sequencing data.

Shifu Chen, Ming Liu, Tanxiao Huang, Wenting Liao, Mingyan Xu, Jia Gu

Open access · goldAbstract read
In one paragraph

Article in International journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

31 citing papers in PubMed, 53 citations in OpenAlex.

  1. Trial
  2. Characteristics of fusion genes in breast cancer.Cancer cell international · 2026
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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

6 authors at 2 institutions in 1 country.

Shifu ChenHaploX Biotechnology, Shenzhen, China.
Ming LiuHaploX Biotechnology, Shenzhen, China.
Tanxiao HuangHaploX Biotechnology, Shenzhen, China.
Wenting LiaoHaploX Biotechnology, Shenzhen, China.
Mingyan XuHaploX Biotechnology, Shenzhen, China.
Jia GuShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shenzhen Bioeasy Biotechnology (China) · CNShenzhen Institutes of Advanced Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, gene fusion detection for cancer treatment has become increasingly important since more therapeutic agents have been developed to suppress fusion kinases. Although a number of tools have been developed to detect gene fusions from DNA sequencing data, most of them are not sensitive enough for processing the data from the samples with low tumor DNA composition, like cell-free tumor DNA. In this paper, we will introduce GeneFuse, a tool to detect and visualize gene fusions with high sensitivity and specificity. GeneFuse focuses on the curated gene fusions, which are available in COSMIC (the Catalogue of Somatic Mutations in Cancer) database. For each detected fusion, GeneFuse reports its genome locus, inferred protein forms, and supporting sequencing reads. The fusion detection results are visualized in an HTML page for cloud-friendly validation. GeneFuse is an open source tool available at GitHub: https://github.com/OpenGene/GeneFuse.

Indexed as

SoftwareGene FusionHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASequence Analysis, RNAfusion detectionfusion visualizationGeneFusegene fusion

Identifiers

PMID29989075
PMCPMC6036752
OpenAlexW2805535338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.