Evidence map›Paper›PMID 38736685›Full record

ArticleBioinformatics advances2024

GLIMMERS: glioma molecular markers exploration using long-read sequencing.

Wichayapat Thongrattana, Tantip Arigul, Bhoom Suktitipat, Manop Pithukpakorn, Sith Sathornsumetee, Thidathip Wongsurawat, Piroon Jenjaroenpun

Abstract read
In one paragraph

Article in Bioinformatics advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Wichayapat ThongrattanaMaster of Science Program in Medical Bioinformatics (International Program), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
Tantip ArigulDivision of Medical Bioinformatics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
Bhoom SuktitipatDepartment of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
Manop PithukpakornSiriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
Sith SathornsumeteeDepartment of Medicine (Neurology), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.ORCID https://orcid.org/0000-0003-1350-0672
Thidathip WongsurawatDivision of Medical Bioinformatics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.ORCID https://orcid.org/0000-0002-3659-2074
Piroon JenjaroenpunDivision of Medical Bioinformatics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.ORCID https://orcid.org/0000-0002-1555-401X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: The revised WHO guidelines for classifying and grading brain tumors include several copy number variation (CNV) markers. The turnaround time for detecting CNVs and alterations throughout the entire genome is drastically reduced with the customized read incremental approach on the nanopore platform. However, this approach is challenging for non-bioinformaticians due to the need to use multiple software tools, extract CNV markers and interpret results, which creates barriers due to the time and specialized resources that are necessary. To address this problem and help clinicians classify and grade brain tumors, we developed GLIMMERS: glioma molecular markers exploration using long-read sequencing, an open-access tool that automatically analyzes nanopore-based CNV data and generates simplified reports. Availability and implementation: GLIMMERS is available at https://gitlab.com/silol_public/glimmers under the terms of the MIT license.

Identifiers

PMID38736685
PMCPMC11087932

What OpenQuestion holds

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Read underepoch 390

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.