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Edward M. Rubin

dblp:53/1227 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2004
0000-0002-9862-8677ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
comparative genomics
0.122004
Phylo-VISTA: interactive visualization of multiple DNA sequence alignments · Bioinform. 2004
VISTA : visualizing global DNA sequence alignments of arbitrary length · Bioinform. 2000
Bioinformatics and computational biology › multiple sequence alignment
multiple sequence alignment visualization
0.012004
Phylo-VISTA: interactive visualization of multiple DNA sequence alignments · Bioinform. 2004
Bioinformatics and computational biology › phylogenetics › phyloinformatics
phylogenetic tree visualization
0.012004
Phylo-VISTA: interactive visualization of multiple DNA sequence alignments · Bioinform. 2004
Bioinformatics and computational biology
sequence analysis
0.012000
VISTA : visualizing global DNA sequence alignments of arbitrary length · Bioinform. 2000
Bioinformatics and computational biology › sequence alignment
DNA sequence alignment
0.012004
Phylo-VISTA: interactive visualization of multiple DNA sequence alignments · Bioinform. 2004

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

multiresolution visualization · 0.0alignment visualization · 0.0
YearPublicationVenuePosition
2004 Phylo-VISTA: interactive visualization of multiple DNA sequence alignments
abstract
MOTIVATION: The power of multi-sequence comparison for biological discovery is well established. The need for new capabilities to visualize and compare cross-species alignment data is intensified by the growing number of genomic sequence datasets being generated for an ever-increasing number of organisms. To be efficient these visualization algorithms must support the ability to accommodate consistently a wide range of evolutionary distances in a comparison framework based upon phylogenetic relationships. RESULTS: We have developed Phylo-VISTA, an interactive tool for analyzing multiple alignments by visualizing a similarity measure for multiple DNA sequences. The complexity of visual presentation is effectively organized using a framework based upon interspecies phylogenetic relationships. The phylogenetic organization supports rapid, user-guided interspecies comparison. To aid in navigation through large sequence datasets, Phylo-VISTA leverages concepts from VISTA that provide a user with the ability to select and view data at varying resolutions. The combination of multiresolution data visualization and analysis, combined with the phylogenetic framework for interspecies comparison, produces a highly flexible and powerful tool for visual data analysis of multiple sequence alignments. AVAILABILITY: Phylo-VISTA is available at http://www-gsd.lbl.gov/phylovista. It requires an Internet browser with Java Plug-in 1.4.2 and it is integrated into the global alignment program LAGAN at http://lagan.stanford.edu
Nameeta Y. Shah, Olivier Couronne, Len A. Pennacchio, Michael Brudno, Serafim Batzoglou, E. Wes Bethel, Edward M. Rubin, Bernd Hamann, Inna Dubchak
Bioinform.7
2000 VISTA : visualizing global DNA sequence alignments of arbitrary length
abstract
SUMMARY: VISTA is a program for visualizing global DNA sequence alignments of arbitrary length. It has a clean output, allowing for easy identification of similarity, and is easily configurable, enabling the visualization of alignments of various lengths at different levels of resolution. It is currently available on the web, thus allowing for easy access by all researchers. AVAILABILITY: VISTA server is available on the web at http://www-gsd.lbl.gov/vista. The source code is available upon request. CONTACT: [email protected]
Chris Mayor, Michael Brudno, Jody R. Schwartz, Alexander Poliakov, Edward M. Rubin, Kelly A. Frazer, Lior Pachter, Inna Dubchak
Bioinform.5