Evidence map›Paper›PMID 34690450›Full record

ArticleExpert systems with applications2022

A biological sub-sequences detection using integrated BA-PSO based on infection propagation mechanism: Case study COVID-19.

Mohamed Issa, Ahmed M Helmi, Ammar H Elsheikh, Mohamed Abd Elaziz

Abstract read
In one paragraph

Article in Expert systems with applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. 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

4 authors.

Mohamed IssaComputer and Systems Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt.
Ahmed M HelmiComputer and Systems Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt.
Ammar H ElsheikhDepartment of Production Engineering and Mechanical Design, Tanta University, Tanta 31527, Egypt.
Mohamed Abd ElazizDepartment of Mathematics, Faculty of Science, Zagazig University, Zagazig 44519, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The longest common consecutive subsequences (LCCS) play a vital role in revealing the biological relationships between DNA/RNA sequences especially the newly discovered ones such as COVID-19. FLAT is a Fragmented local aligner technique which is an accelerated version of the local pairwise sequence alignment algorithm based on

Indexed as

BA algorithmComputaional BiologyCOVID-19Longest common consecutive subsequence (LCCS)Meta-heuristics

Identifiers

PMID34690450
PMCPMC8527645

What OpenQuestion holds

Textmetadata
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.