Demo Data from EDBT 2026 / reviewers in the wild / expert
André Billion
dblp:204/1749
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0002-5073-3347ORCID · corroborated
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 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › microbial genomics
bacterial genomics |
0.1 | 1 | 2006 | Augur - a computational pipeline for whole genome microbial surface protein prediction and classification · Bioinform. 2006 |
Bioinformatics and computational biology
comparative genomics |
0.1 | 1 | 2006 | Augur - a computational pipeline for whole genome microbial surface protein prediction and classification · Bioinform. 2006 |
Bioinformatics and computational biology › computational microbiology
microbial genome analysis |
0.1 | 1 | 2006 | Augur - a computational pipeline for whole genome microbial surface protein prediction and classification · Bioinform. 2006 |
Bioinformatics and computational biology › protein function prediction
protein classification |
0.1 | 1 | 2006 | Augur - a computational pipeline for whole genome microbial surface protein prediction and classification · Bioinform. 2006 |
Bioinformatics and computational biology
protein function prediction |
0.1 | 1 | 2006 | Augur - a computational pipeline for whole genome microbial surface protein prediction and classification · Bioinform. 2006 |
Methods — techniques the papers use, named apart from their topics
visualization · 0.1surface prediction algorithms · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Evaluation of high-throughput isomiR identification tools: illuminating the early isomiRome of Tribolium castaneumabstractBACKGROUND: MicroRNAs carry out post-transcriptional gene regulation in animals by binding to the 3' untranslated regions of mRNAs, causing their degradation or translational repression. MicroRNAs influence many biological functions, and dysregulation can therefore disrupt development or even cause death. High-throughput sequencing and the mining of animal small RNA data has shown that microRNA genes can yield differentially expressed isoforms, known as isomiRs. Such isoforms are particularly relevant during early development, and the extension or truncation of the 5' end can change the profile of mRNA targets compared to the original mature sequence. We used the publicly available small RNA dataset of the model beetle Tribolium castaneum to create the first comparative isomiRome of early developmental stages in this species. Standard microRNA analysis software does not specifically account for isomiRs. We therefore carried out the first comparative evaluation of the specialized tools isomiRID, isomiR-SEA and miraligner, which can be downloaded for local use and can handle next generation sequencing data. RESULTS: We compared the performance of isomiRID, isomiR-SEA and miraligner using simulated Illumina HiSeq2000 and MiSeq data to test the impact of technical errors. We also created artificial microRNA isoforms to determine the effect of biological variants on the performance of each algorithm. We found that isomiRID achieved the best true positive rate among the three algorithms, but only accounted for one mutation at a time. In contrast, miraligner reported all variations simultaneously but with 78% sensitivity, yielding isomiRs with 3' or 5' deletions. Finally, isomiR-SEA achieved a sensitivity of 25-33% when the seed region was mutated or partly deleted, but was the only tool that could accommodate more than one mismatch. Using the best tool, we performed a complete isomiRome analysis of the early developmental stages of T. castaneum. CONCLUSIONS: Our findings will help researchers to select the most suitable isomiR analysis tools for their experiments. We confirmed the dynamic expression of 3' non-template isomiRs and expanded the isomiRome by all known isomiR modifications during the early development of T. castaneum. Daniel Amsel, Andreas Vilcinskas, André Billion |
BMC Bioinform. | 3 |
| 2006 | Augur - a computational pipeline for whole genome microbial surface protein prediction and classificationabstractUNLABELLED: The analysis of protein function is a challenge and a major bottleneck towards well-annotated and analysed microbial genomes. In particular, bacterial surface proteins present an opportunity for pharmacological intervention and vaccine development. We present Augur, an automatic prediction pipeline that integrates major surface prediction algorithms and enables comparative analysis, classification and visualization for gram-positive bacteria on a genomic scale. AVAILABILITY: http://bioinfo.mikrobio.med.uni-giessen.de/augur André Billion, Rohit Ghai, Trinad Chakraborty, Torsten Hain |
Bioinform. | 1 |