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Janos Posfai

dblp:32/5716 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1994
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
multiple sequence comparison
0.011994
VISA: Visual Sequence Analysis for the comparison of multiple amino acid sequences · Comput. Appl. Biosci. 1994
Bioinformatics and computational biology
protein sequence analysis
0.011994
VISA: Visual Sequence Analysis for the comparison of multiple amino acid sequences · Comput. Appl. Biosci. 1994
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein family
0.011994
VISA: Visual Sequence Analysis for the comparison of multiple amino acid sequences · Comput. Appl. Biosci. 1994
YearPublicationVenuePosition
1994 VISA: Visual Sequence Analysis for the comparison of multiple amino acid sequences
abstract
VISA (VIsual Sequence Analysis) is a software package that displays global similarities within a set of related protein sequences. The program identifies amino acid patterns that are common to many members of the set of sequences and displays them as a series of histograms. Individual peaks on the display can be assigned a color and analogous peaks in the other sequences are then automatically marked in the same color. This can be repeated for each significant peak and leads to a display in which major matching segments of multiple amino acid sequences appear as dominant peaks of the histograms with matching colors. These peaks usually correspond to the conserved sequence motifs that are characteristic of particular proteins. An extensive set of software tools is included to help the localization, visualization and analysis of the global similarities displayed. VISA provides a graphic overview of the sequence similarity that can help to understand the architecture of the protein family and can be helpful while designing experiments to probe function.
Janos Posfai, Z. Szaraz, Richard J. Roberts
Comput. Appl. Biosci.1