Evidence map›Paper›PMID 32300860›Full record

ArticleMolecular genetics and genomics : MGG2020

CleanBSequences: an efficient curator of biological sequences in R.

Florencia I Pozzi, Gisela Y Green, Ivana G Barbona, Gustavo R Rodríguez, Silvina A Felitti

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2020. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Florencia I PozziInstituto de Tecnología Agropecuaria, EEA Marcos Juárez, Ruta 12 km. 3, 2580, Marcos Juárez, Córdoba, Argentina. pozzi@iicar-conicet.gob.ar.
Gisela Y GreenCátedra de Epidemiología, Facultad de Ciencias Veterinarias, Universidad Nacional de Rosario, S2170, Casilda, Santa Fe, Argentina.
Ivana G BarbonaCátedra de Estadística, Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, S2125ZAA, Zavalla, Santa Fe, Argentina.
Gustavo R RodríguezInstituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR) (CONICET-UNR), Zavalla, Argentina.
Silvina A FelittiInstituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR) (CONICET-UNR), Zavalla, Argentina.ORCID http://orcid.org/0000-0002-2436-463X

Funding

Consejo Nacional de Investigaciones Científicas y Técnicas PIP11220090100613Consejo Nacional de Investigaciones Científicas y Técnicas PUE22920160100043COFondo para la Investigación Científica y Tecnológica PICT20121321
6 · The paper itself

Abstract

This work presents a new method and tool to solve a common problem of molecular biologists and geneticists who use molecular markers in their scientific research and developments: curation of sequences. Omic studies conducted by molecular biologists and geneticists usually involve the use of molecular markers. AFLP, cDNA-AFLP, and MSAP are examples of markers that render information at the genomics, transcriptomics, and epigenomics levels, respectively. These three types of molecular markers use adaptors that are the template for PCR amplification. The sequences of the adaptors have to be eliminated for the analysis of the results. Since a large number of sequences are usually obtained in these studies, this clean-up of the data could demand long time and work. To automate this work, an R package, named CleanBSequences, was created that allows the sequences to be curated massively, quickly, without errors and can be used offline. The curating is performed by aligning the forward and/or reverse primers or ends of cloning vectors with the sequences to be removed. After the alignment, new subsequences are generated without biological fragments not desired by the user, i.e., sequences needed by the techniques. In conclusion, the CleanBSequences tool facilitates the work of researchers, reducing time, effort, and working errors. Therefore, the present tool would respond to the problems related to the curation of sequences obtained from the use of some types of molecular markers. In addition to the above, being an open source, CleanBSequences is a flexible tool that has the potential to be used in future improvements to respond to new problems.

Indexed as

Computational BiologySoftwareEpigenomicsGenetic MarkersGenomicsMolecular BiologyMolecular Sequence AnnotationSequence AlignmentSequence AnalysisTranscriptomeGenetic MarkersAFLPBiological sequencescDNA-AFLPCurationMSAPR

Identifiers

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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.