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William Feldman

dblp:28/1724 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
DNA sequencing
0.011996
Positional sequencing by hybridization · Comput. Appl. Biosci. 1996
Bioinformatics and computational biology › genomics › DNA sequencing
sequencing by hybridization
0.011996
Positional sequencing by hybridization · Comput. Appl. Biosci. 1996
Graph algorithms and graph theory › graph traversal
eulerian path
0.011996
Positional sequencing by hybridization · Comput. Appl. Biosci. 1996
Graph algorithms and graph theory
graph algorithms
0.011996
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
YearPublicationVenuePosition
1996 Positional sequencing by hybridization
abstract
Sequencing 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