Evidence map›Paper›PMID 32309567›Full record

ArticleDiscoveries (Craiova, Romania)2015

Initiative for standardization of the format of the next-generation sequencing (NGS) results.

Veronika Pipan, Tanja Kunej

Open access · hybridAbstract readEditorial
In one paragraph

Article in Discoveries (Craiova, Romania), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

2 authors at 1 institution in 1 country.

Veronika PipanDepartment of Animal Science, Biotechnical Faculty, University of Ljubljana, Slovenia.
Tanja KunejDepartment of Animal Science, Biotechnical Faculty, University of Ljubljana, Slovenia.
University of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of published reports using next-generation sequencing (NGS) technology in cancer research is increasing. These technologies generate large amounts of data that need to be appropriately presented and available to other researchers for further use. Our goal was to create a comprehensive database with single nucleotide polymorphisms (SNPs) associated with different types of cancer to integrate them to our bioinformatics tools. We reviewed more than 200 scientific papers and extracted relevant information on mutations detected by NGS technology. The current version of the database contains more than 100.000 mutations in more than 70 types of cancer. However, our review of NGS studies revealed great variation in presentation of NGS data in scientific literature with almost no effort for standardization of the data format. NGS results are published in a variety of forms which hinders the gathering of information. Therefore we suggested a uniform format for presenting the NGS data. This will allow faster database development, easier access and data sharing between the laboratories. The database will be a useful tool to many researchers in the field of cancer research and can be a base for a range of studies such as genome-wide association studies, microRNA target binding, and development of cancer biomarkers research.

Indexed as

Cancerdatabasenext generation sequencing (NGS)single nucleotide polymorphism (SNP)

Identifiers

PMID32309567
PMCPMC6941547
OpenAlexW872721601

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.