Evidence map›Paper›PMID 34803444›Full record

ArticleTurkish journal of biology = Turk biyoloji dergisi2021

Genomic chronicle of SARS-CoV-2: a mutational analysis with over 1 million genome sequences.

Osman Mutluhan Uğurel, Oğuz Ata, Dilek Turgut-Balik

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of biology = Turk biyoloji dergisi, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 2 countries.

Osman Mutluhan UğurelDepartment of Bioengineering, Faculty of Chemical and Metallurgical Engineering, Yıldız Technical University, İstanbul Turkey.ORCID https://orcid.org/0000-0002-5365-0950
Oğuz AtaDepartment of Software Engineering, School of Engineering and Natural Sciences, Altınbaş University, İstanbul Turkey.ORCID https://orcid.org/0000-0003-4511-7694
Dilek Turgut-BalikDepartment of Bioengineering, Faculty of Chemical and Metallurgical Engineering, Yıldız Technical University, İstanbul Turkey.ORCID https://orcid.org/0000-0003-2417-4104
Bioengineering Center · RUIstanbul Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Use of information technologies to analyse big data on SARS-CoV-2 genome provides an insight for tracking variations and examining the evolution of the virus. Nevertheless, storing, processing, alignment and analyses of these numerous genomes are still a challenge. In this study, over 1 million SARS-CoV-2 genomes have been analysed to show distribution and relationship of variations that could enlighten development and evolution of the virus. In all genomes analysed in this study, a total of over 215M SNVs have been detected and average number of SNV per isolate was found to be 21.83. Single nucleotide variant (SNV) average is observed to reach 31.25 just in March 2021. The average variation number of isolates is increasing and compromising with total case numbers around the world. Remarkably, cytosine deamination, which is one of the most important biochemical processes in the evolutionary development of coronaviruses, accounts for 46% of all SNVs seen in SARS-CoV-2 genomes within 16 months. This study is one of the most comprehensive SARS-CoV-2 genomic analysis study in terms of number of genomes analysed in an academic publication so far, and reported results could be useful in monitoring the development of SARS-CoV-2.

Indexed as

1 million genomesCOVID-19genomic analysismutationSARS-CoV-2single nucleotide variant (SNV)variation

Identifiers

PMID34803444
PMCPMC8573839
OpenAlexW3197614593

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.