Evidence map›Paper›PMID 36092917›Full record

ArticleFrontiers in genetics2022

Bioinformatic workflow fragment discovery leveraging the social-aware knowledge graph.

Jin Diao, Zhangbing Zhou, Xiao Xue, Deng Zhao, Shengpeng Chen

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jin DiaoSchool of Information Engineering, China University of Geosciences (Beijing), Beijing, China.
Zhangbing ZhouSchool of Information Engineering, China University of Geosciences (Beijing), Beijing, China.
Xiao XueSchool of Computer Software, College of Intelligence and Computing, Tianjin University, Tianjin, China.
Deng ZhaoSchool of Information Engineering, China University of Geosciences (Beijing), Beijing, China.
Shengpeng ChenWuda Geoinformatics Co., Ltd., Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Constructing a novel bioinformatic workflow by reusing and repurposing fragments crossing workflows is regarded as an error-avoiding and effort-saving strategy. Traditional techniques have been proposed to discover scientific workflow fragments leveraging their profiles and historical usages of their activities (or services). However, social relations of workflows, including relations between services and their developers have not been explored extensively. In fact, current techniques describe invoking relations between services, mostly, and they can hardly reveal implicit relations between services. To address this challenge, we propose a social-aware scientific workflow knowledge graph (

Indexed as

bioinformatic workflowfragment discoveryknowledge graphscientific workflowsocial relations

Identifiers

PMID36092917
PMCPMC9459048

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.