Demo Data from EDBT 2026 / reviewers in the wild / expert
Graham J. Etherington
dblp:13/3752
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2015
0000-0002-5003-1425ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 3 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
3 papers |
Bioinformatics and computational biology · 100% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › multiple sequence alignment
alignment visualization |
0.2 | 1 | 2015 | bio-samtools 2: a package for analysis and visualization of sequence and alignment data with SAMtools in Ruby · Bioinform. 2015 |
Bioinformatics and computational biology › genomics
variant analysis |
0.2 | 1 | 2015 | bio-samtools 2: a package for analysis and visualization of sequence and alignment data with SAMtools in Ruby · Bioinform. 2015 |
Bioinformatics and computational biology › genomics
genome visualization |
0.2 | 1 | 2013 | SVGenes: a library for rendering genomic features in scalable vector graphic format · Bioinform. 2013 |
Bioinformatics and computational biology › molecular evolution › evolutionary bioinformatics › evolutionary genomics
genome evolution |
0.1 | 1 | 2005 | Recombination Analysis Tool (RAT): a program for the high-throughput detection of recombination · Bioinform. 2005 |
Bioinformatics and computational biology › molecular evolution
recombination analysis |
0.1 | 1 | 2005 | Recombination Analysis Tool (RAT): a program for the high-throughput detection of recombination · Bioinform. 2005 |
Bioinformatics and computational biology › molecular evolution
recombination detection |
0.1 | 1 | 2005 | Recombination Analysis Tool (RAT): a program for the high-throughput detection of recombination · Bioinform. 2005 |
Bioinformatics and computational biology › genomics
viral genomics |
0.1 | 1 | 2005 | Recombination Analysis Tool (RAT): a program for the high-throughput detection of recombination · Bioinform. 2005 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | bio-samtools 2: a package for analysis and visualization of sequence and alignment data with SAMtools in RubyabstractAbstract Motivation: bio-samtools is a Ruby language interface to SAMtools, the highly popular library that provides utilities for manipulating high-throughput sequence alignments in the Sequence Alignment/Map format. Advances in Ruby, now allow us to improve the analysis capabilities and increase bio-samtools utility, allowing users to accomplish a large amount of analysis using a very small amount of code. bio-samtools can also be easily developed to include additional SAMtools methods and hence stay current with the latest SAMtools releases. Results: We have added new Ruby classes for the MPileup and Variant Call Format (VCF) data formats emitted by SAMtools and introduced more analysis methods for variant analysis, including alternative allele calculation and allele frequency calling for SNPs. Our new implementation of bio-samtools also ensures that all the functionality of the SAMtools library is now supported and that bio-samtools can be easily extended to include future changes in SAMtools. bio-samtools 2 also provides methods that allow the user to directly produce visualization of alignment data. Availability and implementation: bio-samtools is available as a BioGem from http://www.biogems.info or as source code from https://github.com/helios/bioruby-samtools under the MIT License. Contact: [email protected] Graham J. Etherington, Ricardo Ramirez-Gonzalez, Daniel MacLean |
Bioinform. | 1 |
| 2013 | SVGenes: a library for rendering genomic features in scalable vector graphic formatabstractMOTIVATION: Drawing genomic features in attractive and informative ways is a key task in visualization of genomics data. Scalable Vector Graphics (SVG) format is a modern and flexible open standard that provides advanced features including modular graphic design, advanced web interactivity and animation within a suitable client. SVGs do not suffer from loss of image quality on re-scaling and provide the ability to edit individual elements of a graphic on the whole object level independent of the whole image. These features make SVG a potentially useful format for the preparation of publication quality figures including genomic objects such as genes or sequencing coverage and for web applications that require rich user-interaction with the graphical elements. RESULTS: SVGenes is a Ruby-language library that uses SVG primitives to render typical genomic glyphs through a simple and flexible Ruby interface. The library implements a simple Page object that spaces and contains horizontal Track objects that in turn style, colour and positions features within them. Tracks are the level at which visual information is supplied providing the full styling capability of the SVG standard. Genomic entities like genes, transcripts and histograms are modelled in Glyph objects that are attached to a track and take advantage of SVG primitives to render the genomic features in a track as any of a selection of defined glyphs. The feature model within SVGenes is simple but flexible and not dependent on particular existing gene feature formats meaning graphics for any existing datasets can easily be created without need for conversion. AVAILABILITY: The library is provided as a Ruby Gem from https://rubygems.org/gems/bio-svgenes under the MIT license, and open source code is available at https://github.com/danmaclean/bioruby-svgenes also under the MIT License. CONTACT: [email protected]. Graham J. Etherington, Daniel MacLean |
Bioinform. | 1 |
| 2005 | Recombination Analysis Tool (RAT): a program for the high-throughput detection of recombinationabstractMOTIVATION: Recombination can be a prevailing drive in shaping genome evolution. RAT (Recombination Analysis Tool) is a Java-based tool for investigating recombination events in any number of aligned sequences (protein or DNA) of any length (short viral sequences to full genomes). It is an uncomplicated and intuitive application and allows the user to view only the regions of sequence alignments they are interested in. RESULTS: RAT was applied to viral sequences. Its utility was demonstrated through the detection of a known recombinant of HIV and a detailed analysis of Noroviruses, the most common cause of viral gastroenteritis in humans. AVAILABILITY: RAT, along with a user's guide, is freely available from http://jic-bioinfo.bbsrc.ac.uk/bioinformatics-research/staff/graham_etherington/RAT.htm. Graham J. Etherington, Jo L. Dicks, Ian N. Roberts |
Bioinform. | 1 |