Abstract
Abstract Summary: RnaViz has been developed to easily create nice, publication quality drawings of RNA secondary structure. RnaViz 2 supports CT, DCSE, and RNAML input formats and improves on many aspects of the first version, notably portability and structure annotation. RnaViz is written using a hybrid programming approach combining pieces written in C and in the scripting language Tcl/Tk, making the program very portable and extensible. Availability: Source code, binaries for Linux and MS Windows, and additional documentation are available athttp://rrna.uia.ac.be/rnaviz/ Contact: derijkp@uia.ua.ac.be * To whom correspondence should be addressed.
Keywords
Representation (politics)Computer scienceRNANucleic acid secondary structureComputational biologyBiologyGeneticsGene
Affiliated Institutions
Related Publications
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields
Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime app...
CT of dry skulls with craniofacial deformities: accuracy of three-dimensional reconstruction.
Dry skulls from patients with Crouzon syndrome or orbital neurofibromatosis were studied using three-dimensional reconstruction of computed tomography data. The images were comp...
Display of 3-D Digital Images: Computational Foundations and Medical Applications
These new approaches to 3-D medical imaging promise better and more cost-effective object identification, representation, and manipulation in space and time.
Publication Info
- Year
- 2003
- Type
- article
- Volume
- 19
- Issue
- 2
- Pages
- 299-300
- Citations
- 298
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
298
OpenAlex
Cite This
Peter De Rijk,
J. Wuyts,
Rupert De Wächter
(2003).
RnaViz 2: an improved representation of RNA secondary structure.
Bioinformatics
, 19
(2)
, 299-300.
https://doi.org/10.1093/bioinformatics/19.2.299
Identifiers
- DOI
- 10.1093/bioinformatics/19.2.299