Demo Data from EDBT 2026 / reviewers in the wild / expert
Daniel K. Manter
dblp:170/4548
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0001-7729-7197ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › computational microbiology › microbiome analysis
beta-diversity analysis |
0.2 | 1 | 2015 | Estimating beta diversity for under-sampled communities using the variably weighted Odum dissimilarity index and OTUshuff · Bioinform. 2015 |
Bioinformatics and computational biology › computational microbiology › microbiome analysis
microbial community comparison |
0.2 | 1 | 2015 | Estimating beta diversity for under-sampled communities using the variably weighted Odum dissimilarity index and OTUshuff · Bioinform. 2015 |
Bioinformatics and computational biology › computational microbiology
microbiome analysis |
0.2 | 1 | 2015 | Estimating beta diversity for under-sampled communities using the variably weighted Odum dissimilarity index and OTUshuff · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
rarefaction correction · 0.2permutation testing · 0.2odum dissimilarity · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Estimating beta diversity for under-sampled communities using the variably weighted Odum dissimilarity index and OTUshuffabstractMOTIVATION: In profiling the composition and structure of complex microbial communities via high throughput amplicon sequencing, a very low proportion of community members are typically sampled. As a result of this incomplete sampling, estimates of dissimilarity between communities are often inflated, an issue we term pseudo β-diversity. RESULTS: We present a set of tools to identify and correct for the presence of pseudo β-diversity in contrasts between microbial communities. The variably weighted Odum dissimilarity (DwOdum) allows for down-weighting the influence of either abundant or rare taxa in calculating a measure of similarity between two communities. We show that down-weighting the influence of rare taxa can be used to minimize pseudo β-diversity arising from incomplete sampling. Down-weighting the influence of abundant taxa can increase the sensitivity of hypothesis testing. OTUshuff is an associated test for identifying the presence of pseudo β-diversity in pairwise community contrasts. AVAILABILITY AND IMPLEMENTATION: A Perl script for calculating the DwOdum score from a taxon abundance table and performing pairwise contrasts with OTUshuff can be obtained at http://www.ars.usda.gov/services/software/software.htm?modecode=30-12-10-00. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Daniel K. Manter, Matthew G. Bakker |
Bioinform. | 1 |