ArticleMolecular genetics and genomics : MGG2020
CleanBSequences: an efficient curator of biological sequences in R.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages.Open life sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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
Identifiers
32300860What OpenQuestion holds
Registered trials
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.