Evidence map›Paper›PMID 38881075›Full record

ArticleBriefings in bioinformatics2024

A global initiative on addressing bioinformatics' grand challenges.

Asif M Khan, Esra Büşra Işık, Tin Wee Tan

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 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. Review
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

3 authors.

Asif M KhanCollege of Computing and Information Technology, University of Doha for Science and Technology, Doha, Qatar.ORCID 0000-0001-9202-279X
Esra Büşra IşıkBeykoz Institute of Life Sciences and Biotechnology, Bezmialem Vakif University, Beykoz, 34820, Istanbul, Turkiye.ORCID 0000-0003-3414-8575
Tin Wee TanDepartment of Biochemistry, YLL School of Medicine, National University of Singapore, 117596, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Bioinformatics Grand Challenges Consortium (BGCC) is a collaborative effort to address the most pressing challenges in bioinformatics. Initially focusing on education and training, the consortium successfully defined seven key grand challenges and is actively developing actionable solutions for these challenges. Building on this foundation, the BGCC plans to broaden its focus to include additional grand challenges in emerging areas.

Indexed as

Computational BiologyHumansand emerging areasbioinformaticscollaborationeducationgrand challengehealth scienceinnovationlife sciencetraining

Identifiers

PMID38881075
PMCPMC11180599

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.