Evidence map›Paper›PMID 35397563›Full record

ArticleBMC research notes2022

Computational characterization and analysis of molecular sequence data of Elizabethkingia meningoseptica.

Neha Girdhar, Nilima Kumari, A Krishnamachari

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  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

3 authors at 2 institutions in 1 country.

Neha GirdharDepartment of Bioscience and Biotechnology, Banasthali Vidyapith, Jaipur, 304022, Rajasthan, India.
Nilima KumariDepartment of Bioscience and Biotechnology, Banasthali Vidyapith, Jaipur, 304022, Rajasthan, India.
A KrishnamachariSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India. chari@jnu.ac.in.
Banasthali University · INJawaharlal Nehru University · IN

Funding

Department of Science and Technology(India) SR/WOS-A/LS-222/2016
6 · The paper itself

Abstract

objectiveElizabethkingia meningoseptica is a multidrug resistance strain which primarily causes meningitis in neonates and immunocompromised patients. Being a nosocomial infection causing agent, less information is available in literature, specifically, about its genomic makeup and associated features. An attempt is made to study them through bioinformatics tools with respect to compositions, embedded periodicities, open reading frames, origin of replication, phylogeny, orthologous gene clusters analysis and pathways.

resultsComplete DNA and protein sequence pertaining to E. meningoseptica were thoroughly analyzed as part of the study. E. meningoseptica G4076 genome showed 7593 ORFs it is GC rich. Fourier based analysis showed the presence of typical three base periodicity at the genome level. Putative origin of replication has been identified. Phylogenetically, E. meningoseptica is relatively closer to E. anophelis compared to other Elizabethkingia species. A total of 2606 COGs were shared by all five Elizabethkingia species. Out of 3391 annotated proteins, we could identify 18 unique ones involved in metabolic pathway of E. meningoseptica and this can be an initiation point for drug designing and development. Our study is novel in the aspect in characterizing and analyzing the whole genome data of E. meningoseptica.

Indexed as

FlavobacteriaceaeFlavobacteriaceae InfectionsAnti-Bacterial AgentsGenome, BacterialGenomicsHumansInfant, NewbornMolecular Sequence DataAnti-Bacterial AgentsBioinformaticsElizabethkingia meningosepticaGenome annotationPathway analysisSubtractive genomics

Identifiers

PMID35397563
PMCPMC8994065
OpenAlexW4223433410

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.