Demo Data from EDBT 2026 / reviewers in the wild / expert
Åke Hagström
dblp:83/7070
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
0000-0003-0190-0986ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › computational microbiology › microbiome analysis
microbial community analysis |
0.1 | 1 | 2009 | RAMI: a tool for identification and characterization of phylogenetic clusters in microbial communities · Bioinform. 2009 |
Bioinformatics and computational biology › metagenomics
operational taxonomic unit clustering |
0.0 | 1 | 2009 | RAMI: a tool for identification and characterization of phylogenetic clusters in microbial communities · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
patristic distance clustering · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | RAMI: a tool for identification and characterization of phylogenetic clusters in microbial communitiesabstractMOTIVATION: The most common approach to estimate microbial diversity is based on the analysis of DNA sequences of specific target genes including ribosomal genes. Commonly, the sequences are grouped into operational taxonomic units based on genetic distance (sequence similarity) instead of genetic change (patristic distance). This method may fail to adequately identify clusters of evolutionary related sequences and it provides no information on the phylogenetic structure of the community. An ease-of-use web application for this purpose has been missing. RESULTS: We have developed RAMI, which clusters related nodes in a phylogenetic tree based on the patristic distance. RAMI also produces indices of cluster properties and other indices used in population and community studies on-the-fly. AVAILABILITY: RAMI is licensed under GNU GPL and can be run or downloaded from http://www.acgt.se/online.html. SUPPLEMENTARY INFORMATION: http://www.acgt.se/RAMI/SuppInfo. Thomas Pommier, Björn Canbäck, Per Lundberg, Åke Hagström, Anders Tunlid |
Bioinform. | 4 |