Treffer: refseqR: an R package for common computational operations with records on RefSeq collection.
Title:
refseqR: an R package for common computational operations with records on RefSeq collection.
Authors:
Die JV; Department of Genetics-ETSIAM, University of Cordoba, Córdoba, 14071, Spain.
Source:
Bioinformatics advances [Bioinform Adv] 2024 Aug 21; Vol. 4 (1), pp. vbae122. Date of Electronic Publication: 2024 Aug 21 (Print Publication: 2024).
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE
Imprint Name(s):
Original Publication: [Oxford] : Oxford University Press : International Society for Computational Biology, [2021]-
References:
Bioinformatics. 2019 Nov 1;35(21):4511-4514. (PMID: 31077305)
Plants (Basel). 2021 Nov 10;10(11):. (PMID: 34834791)
Methods Mol Biol. 2022;2443:1-25. (PMID: 35037198)
Genes (Basel). 2018 Nov 23;9(12):. (PMID: 30477134)
J Bioinform Comput Biol. 2015 Dec;13(6):1542002. (PMID: 26471719)
Nat Methods. 2015 Feb;12(2):115-21. (PMID: 25633503)
Plants (Basel). 2021 Nov 10;10(11):. (PMID: 34834791)
Methods Mol Biol. 2022;2443:1-25. (PMID: 35037198)
Genes (Basel). 2018 Nov 23;9(12):. (PMID: 30477134)
J Bioinform Comput Biol. 2015 Dec;13(6):1542002. (PMID: 26471719)
Nat Methods. 2015 Feb;12(2):115-21. (PMID: 25633503)
Entry Date(s):
Date Created: 20240903 Latest Revision: 20240904
Update Code:
20250114
PubMed Central ID:
PMC11368385
DOI:
10.1093/bioadv/vbae122
PMID:
39224837
Database:
MEDLINE
Weitere Informationen
Summary: We introduce refseqR, an R package that offers a user-friendly solution, enabling common computational operations on RefSeq entries (GenBank, NCBI). The package is specifically designed to interact with records curated from the RefSeq database. Most importantly, the interoperability and integration with several Bioconductor objects allow connections to be applied to other projects.
Availability and Implementation: The package refseqR is implemented in R and published under the MIT open-source license. The source code, documentation, and usage instructions are available on CRAN (https://CRAN.R-project.org/package=refseqR).
(© The Author(s) 2024. Published by Oxford University Press.)
None declared.