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PFRED: A computational platform for siRNA and antisense oligonucleotides design
- Source :
- PLoS ONE, Vol 16, Iss 1, p e0238753 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- PFRED a software application for the design, analysis, and visualization of antisense oligonucleotides and siRNA is described. The software provides an intuitive user-interface for scientists to design a library of siRNA or antisense oligonucleotides that target a specific gene of interest. Moreover, the tool facilitates the incorporation of various design criteria that have been shown to be important for stability and potency. PFRED has been made available as an open-source project so the code can be easily modified to address the future needs of the oligonucleotide research community. A compiled version is available for downloading at https://github.com/pfred/pfred-gui/releases/tag/v1.0 as a java Jar file. The source code and the links for downloading the precompiled version can be found at https://github.com/pfred.
- Subjects :
- Source code
Molecular biology
Computer science
Single Nucleotide Polymorphisms
Oligonucleotides
computer.software_genre
Biochemistry
Database and Informatics Methods
User-Computer Interface
RNA interference
Software
RNA, Small Interfering
RNA structure
Antisense Oligonucleotides
media_common
computer.programming_language
Multidisciplinary
Nucleotides
Programming language
Genomics
Small interfering RNA
Nucleic acids
Genetic interference
Antisense oligonucleotides
Medicine
Epigenetics
Preprint
Sequence Analysis
Algorithms
Research Article
Java
Bioinformatics
media_common.quotation_subject
Science
Computational biology
Biology
Research and Analysis Methods
Sequence Motif Analysis
Genetics
Code (cryptography)
Non-coding RNA
Gene
DNA Primers
Gene Library
Biology and life sciences
Oligonucleotide
business.industry
Computational Biology
Oligonucleotides, Antisense
Gene regulation
Visualization
Macromolecular structure analysis
Open source
RNA
Gene expression
business
Sequence Alignment
computer
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....dae3d6cc288481e3e327c9452193e92d