Demo Data from EDBT 2026 / reviewers in the wild / expert
William Feldman
dblp:28/1724
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none
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.
| Theoretical computer science
1 paper |
Graph algorithms and graph theory · 67% Computational complexity · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
DNA sequencing |
0.0 | 1 | 1996 | Positional sequencing by hybridization · Comput. Appl. Biosci. 1996 |
Bioinformatics and computational biology › genomics › DNA sequencing
sequencing by hybridization |
0.0 | 1 | 1996 | Positional sequencing by hybridization · Comput. Appl. Biosci. 1996 |
Graph algorithms and graph theory › graph traversal
eulerian path |
0.0 | 1 | 1996 | Positional sequencing by hybridization · Comput. Appl. Biosci. 1996 |
Graph algorithms and graph theory
graph algorithms |
0.0 | 1 | 1996 | Positional sequencing by hybridization · Comput. Appl. Biosci. 1996 |
Methods — techniques the papers use, named apart from their topics
polynomial algorithm design · 0.0complexity analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Positional sequencing by hybridizationabstractSequencing by hybridization (SBH) is a promising alternative to the classical DNA sequencing approaches. However, the resolving power of SBH is rather low: with 64kb sequencing chips, unknown DNA fragments only as long as 200 bp can be reconstructed in a single SBH experiment. To improve the resolving power of SBH, positional SBH (PSBH) has recently been suggested; this allows (with additional experimental work) approximate positions of every l-tuple in a target DNA fragment to be measured. We study the positional Eulerian path problem motivated by PSBH. The input to the positional eulerian path problem is an Eulerian graph G(V, E) in which every edge has an associated range of integers and the problem is to find an Eulerian path e1,...,e/E/ in G such that the range of ei contains i. We show that the positional Eulerian path problem is NP-complete even when the maximum out-degree (in-degree) of any vertex in the graph is 2. On a positive note we present polynomial algorithms to solve a special case of PSBH (bounded PSBH), where the range of the allowed positions for any edge is bounded by a constant (it corresponds to accurate experimental measurements of positions in PSBH). Moreover, if the positions of every l-tuple in an unknown DNA fragment of length n are measured with O(log n) error, then our algorithm runs in polynomial time. We also present an estimate of the resolving power of PSBH for a more realistic case when positions are measured with theta (n) error. Sridhar Hannenhalli, William Feldman, Herbert F. Lewis, Steven Skiena, Pavel A. Pevzner |
Comput. Appl. Biosci. | 2 |