Demo Data from EDBT 2026 / reviewers in the wild / expert
Felicity Anderson
dblp:319/2080
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2022
0000-0001-8778-6779ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021
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 · 88% Computational science and engineering · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › transcriptomics
ribo-seq data analysis |
0.6 | 1 | 2022 | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow · Bioinform. 2022 |
Bioinformatics and computational biology › transcriptomics
ribosome profiling |
0.6 | 1 | 2022 | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow · Bioinform. 2022 |
Bioinformatics and computational biology
bioinformatics workflow |
0.2 | 1 | 2022 | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow · Bioinform. 2022 |
Computational science and engineering
workflow management |
0.2 | 1 | 2022 | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow · Bioinform. 2022 |
Methods — techniques the papers use, named apart from their topics
nextflow · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflowabstractMOTIVATION: Ribosome profiling, or Ribo-seq, is the state-of-the-art method for quantifying protein synthesis in living cells. Computational analysis of Ribo-seq data remains challenging due to the complexity of the procedure, as well as variations introduced for specific organisms or specialized analyses. RESULTS: We present riboviz 2, an updated riboviz package, for the comprehensive transcript-centric analysis and visualization of Ribo-seq data. riboviz 2 includes an analysis workflow built on the Nextflow workflow management system for end-to-end processing of Ribo-seq data. riboviz 2 has been extensively tested on diverse species and library preparation strategies, including multiplexed samples. riboviz 2 is flexible and uses open, documented file formats, allowing users to integrate new analyses with the pipeline. AVAILABILITY AND IMPLEMENTATION: riboviz 2 is freely available at github.com/riboviz/riboviz. Alexander Cope, Felicity Anderson, John Favate, Amanda Mok, Anna Kurowska, Emma Mackenzie, Vikram Shivakumar, Peter Tilton, Sophie M. Winterbourne, Siyin Xue, Kostas Kavoussanakis, Liana F. Lareau, Premal Shah, Edward W. J. Wallace |
Bioinform. | 2 |
| 2022 | Bringing bioinformatics to schools with the 4273pi projectabstractOver the last few decades, the nature of life sciences research has changed enormously, generating a need for a workforce with a variety of computational skills such as those required to store, manage, and analyse the large biological datasets produced by next-generation sequencing. Those with such expertise are increasingly in demand for employment in both research and industry. Despite this, bioinformatics education has failed to keep pace with advances in research. At secondary school level, computing is often taught in isolation from other sciences, and its importance in biological research is not fully realised, leaving pupils unprepared for the computational component of Higher Education and, subsequently, research in the life sciences. The 4273pi Bioinformatics at School project (https://4273pi.org) aims to address this issue by designing and delivering curriculum-linked, hands-on bioinformatics workshops for secondary school biology pupils, with an emphasis on equitable access. So far, we have reached over 180 schools across Scotland through visits or teacher events, and our open education resources are used internationally. Here, we describe our project, our aims and motivations, and the practical lessons we have learned from implementing a successful bioinformatics education project over the last 5 years. Stevie A. Bain, Heleen Plaisier, Felicity Anderson, Nicola Cook, Kathryn Crouch, Thomas R. Meagher, Michael G. Ritchie, Edward W. J. Wallace, Daniel Barker |
PLoS Comput. Biol. | 3 |