Demo Data from VLDB 2026 / reviewers in the wild / expert
Yuri R. Bendaña
dblp:23/363
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis
RNA sequence analysis |
0.1 | 1 | 2008 | Colorstock, SScolor, Ratón: RNA alignment visualization tools · Bioinform. 2008 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Colorstock, SScolor, Ratón: RNA alignment visualization toolsabstractUNLABELLED: Interactive examination of RNA multiple alignments for covariant mutations is a useful step in non-coding RNA sequence analysis. We present three parallel implementations of an RNA visualization metaphor: Colorstock, a command-line script using ANSI terminal color; SScolor, a Perl script that generates static HTML pages; and Ratón, an AJAX web application generating dynamic HTML. Each tool can be used to color RNA alignments by secondary structure and to visually highlight compensatory mutations in stems. AVAILABILITY: All source code is freely available under the GPL. The source code can be downloaded and a prototype of Ratón can be accessed at http://biowiki.org/RnaAlignmentViewers. Yuri R. Bendaña, Ian H. Holmes |
Bioinform. | 1 |
| 2006 | XRate: a fast prototyping, training and annotation tool for phylo-grammarsabstractBACKGROUND: Recent years have seen the emergence of genome annotation methods based on the phylo-grammar, a probabilistic model combining continuous-time Markov chains and stochastic grammars. Previously, phylo-grammars have required considerable effort to implement, limiting their adoption by computational biologists. RESULTS: We have developed an open source software tool, xrate, for working with reversible, irreversible or parametric substitution models combined with stochastic context-free grammars. xrate efficiently estimates maximum-likelihood parameters and phylogenetic trees using a novel "phylo-EM" algorithm that we describe. The grammar is specified in an external configuration file, allowing users to design new grammars, estimate rate parameters from training data and annotate multiple sequence alignments without the need to recompile code from source. We have used xrate to measure codon substitution rates and predict protein and RNA secondary structures. CONCLUSION: Our results demonstrate that xrate estimates biologically meaningful rates and makes predictions whose accuracy is comparable to that of more specialized tools. Peter S. Klosterman, Andrew V. Uzilov, Yuri R. Bendaña, Robert K. Bradley, Sharon Chao, Carolin Kosiol, Nick Goldman, Ian H. Holmes |
BMC Bioinform. | 3 |