Demo Data from SIGIR 2026 / reviewers in the wild / expert
Andy Wildenberg
dblp:41/6064
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none
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 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › sequencing data analysis
DNA sequencing analysis |
0.0 | 1 | 2002 | Deconvolving sequence variation in mixed DNA populations · RECOMB 2002 |
Methods — techniques the papers use, named apart from their topics
trace data analysis · 0.0statistical inference · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Deconvolving sequence variation in mixed DNA populationsabstractIn this paper, we look at the problem of using sequence trace data to identify sequence variants in mixed DNA populations. Our work is motivated by a new line of capillary electrophorisis sequencing machines being developed by BioPhotonics Corporation. By using advanced single-photon detectors and other technologies, BioPhotonics has the capability to not only detect but accurately determine the relative frequency of each base at each position to within 10\\%, and expects to reduce this error rate to 1\\% in the near future. This motivates a variety of questions concerning how accurately we can sequence mixed populations from a single sample using relative frequency information. Andy Wildenberg, Steven Skiena, Pavel Sumazin |
RECOMB | 1 |