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E. Hamori

dblp:32/4734 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1989
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence visualization
DNA sequence visualization
0.011989
HYLAS: program for generating H curves (abstract three-dimensional representations of long DNA sequences) · Comput. Appl. Biosci. 1989
Bioinformatics and computational biology
genomics
0.011989
HYLAS: program for generating H curves (abstract three-dimensional representations of long DNA sequences) · Comput. Appl. Biosci. 1989

Methods — techniques the papers use, named apart from their topics

tektronix graphics · 0.0FORTRAN · 0.0
YearPublicationVenuePosition
1989 HYLAS: program for generating H curves (abstract three-dimensional representations of long DNA sequences)
abstract
The computer program HYLAS generates from a standard DNA letter sequence a three-dimensional space curve (H curve) which embodies the entire information content of the original nucleotide sequence. The program can display H curves either as two-dimensional (front and side view) projections or as stereo-pair images. The curves can be marked at specific nucleotide locations, annotated, rotated for observation from any viewing angle, and manipulated for convenient side-by-side comparisons. Unlike the cumbersome letter sequences, H curves can be drastically condensed in size without losing their ability to reflect the global nucleotide-distribution pattern of the entire DNA sequence. Often, biologically important loci can be visually identified on the H curves. HYLAS is written in FORTRAN with separate mainframe (IBM-VM/CMS) and microcomputer (MS-DOS) versions. It uses the Tektronix-TCS library of graphic subroutines.
E. Hamori, G. Varga, J. J. LaGuardia
Comput. Appl. Biosci.1