Evidence map›Paper›PMID 33615042›Full record

ArticleGene reports2021

A comparative genomics-based study of positive strand RNA viruses emphasizing on SARS-CoV-2 utilizing dinucleotide signature, codon usage and codon context analyses.

Jayanti Saha, Sukanya Bhattacharjee, Monalisha Pal Sarkar, Barnan Kumar Saha, Hriday Kumar Basak, Samarpita Adhikary, Vivek Roy, Parimal Mandal, Abhik Chatterjee, Ayon Pal

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Gene reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors at 1 institution in 1 country.

Jayanti SahaMicrobiology & Computational Biology Laboratory, Department of Botany, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Sukanya BhattacharjeeMicrobiology & Computational Biology Laboratory, Department of Botany, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Monalisha Pal SarkarMycology & Plant Pathology Laboratory, Department of Botany, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Barnan Kumar SahaMicrobiology & Computational Biology Laboratory, Department of Botany, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Hriday Kumar BasakDepartment of Chemistry, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Samarpita AdhikaryMicrobiology & Computational Biology Laboratory, Department of Botany, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Vivek RoyMicrobiology & Computational Biology Laboratory, Department of Botany, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Parimal MandalMycology & Plant Pathology Laboratory, Department of Botany, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Abhik ChatterjeeDepartment of Chemistry, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Ayon PalMicrobiology & Computational Biology Laboratory, Department of Botany, Raiganj University, Raiganj PIN-733 134, Uttar Dinajpur, West Bengal, India.
Raiganj University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel corona virus disease or COVID-19 caused by a positive strand RNA virus (PRV) called SARS-CoV-2 is plaguing the entire planet as we conduct this study. In this study a multifaceted analysis was carried out employing dinucleotide signature, codon usage and codon context to compare and unravel the genomic as well as genic characteristics of the SARS-CoV-2 isolates and how they compare to other PRVs which represents some of the most pathogenic human viruses. The main emphasis of this study was to comprehend the codon biology of the SARS-CoV-2 in the backdrop of the other PRVs like Poliovirus, Japanese encephalitis virus, Hepatitis C virus,

Indexed as

CAI, Codon Adaptation IndexCNS, Central Nervous SystemCodon contextCodon usage biasCoronavirusesCOVID-19CRS, Congenital Rubella SyndromeCUB, Codon Usage BiasFop, Frequency of optimal codonsGC1, Guanine and Cytosine content on the first position of the codonGC2, Guanine and Cytosine content on the second position of the codonGC3, Guanine and Cytosine content on the third position of the codonHCV, Hepatitis C VirusMERS, Middle East Respiratory SyndromeMFE, Minimum Free EnergyNc, Effective Number of CodonsPCA, Principal Component AnalysisPositive strand RNA virusPRV, Positive strand RNA VirusRCDI, Relative Codon De-Optimization IndexRSCU, Relative Synonymous Codon UsageSARS-CoV-2SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2SARS, Severe Acute Respiratory SyndromeSCUO, Synonymous Codon Usage OrderSiD, Similarity Index

Identifiers

PMID33615042
PMCPMC7887452
OpenAlexW3130501926

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.