Evidence map›Paper›PMID 38424511›Full record

ArticleBMC bioinformatics2024

CNCA aligns small annotated genomes.

Jean-Noël Lorenzi, François Graner, Virginie Courtier-Orgogozo, Guillaume Achaz

Abstract read
In one paragraph

Article in BMC bioinformatics, 2024. 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

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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

4 authors.

Jean-Noël LorenziUniversité Paris Cité, Paris, France. jean-noel.lorenzi@ijm.fr.
François GranerUniversité Paris Cité, Paris, France.
Virginie Courtier-OrgogozoUniversité Paris Cité, Paris, France.
Guillaume AchazSMILE Group, Center for Interdisciplinary Research in Biology (CIRB), Collège de France, 75006, Paris, France.

Funding

Labex "Who AM I?" ANR-11-LABX- 0071Université Paris Cité Idex ANR-18- IDEX-0001
6 · The paper itself

Abstract

backgroundTo explore the evolutionary history of sequences, a sequence alignment is a first and necessary step, and its quality is crucial. In the context of the study of the proximal origins of SARS-CoV-2 coronavirus, we wanted to construct an alignment of genomes closely related to SARS-CoV-2 using both coding and non-coding sequences. To our knowledge, there is no tool that can be used to construct this type of alignment, which motivated the creation of CNCA.

resultsCNCA is a web tool that aligns annotated genomes from GenBank files. It generates a nucleotide alignment that is then updated based on the protein sequence alignment. The output final nucleotide alignment matches the protein alignment and guarantees no frameshift. CNCA was designed to align closely related small genome sequences up to 50 kb (typically viruses) for which the gene order is conserved.

conclusionsCNCA constructs multiple alignments of small genomes by integrating both coding and non-coding sequences. This preserves regions traditionally ignored in conventional back-translation methods, such as non-coding regions.

Indexed as

GenomeProteinsAmino Acid SequenceNucleotidesSequence AlignmentNucleotidesProteinsAnnotated genomesNucleotide alignmentProtein alignment

Identifiers

PMID38424511
PMCPMC10905818

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Registered trials

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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.