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John E. Beaver

dblp:87/5395 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 3 · 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
3 papers
Bioinformatics and computational biology · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genome annotation
gene annotation
0.112010
FuncBase : a resource for quantitative gene function annotation · Bioinform. 2010
Bioinformatics and computational biology › functional genomics
functional enrichment analysis
0.112009
Next generation software for functional trend analysis · Bioinform. 2009
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene set enrichment analysis
0.112009
Next generation software for functional trend analysis · Bioinform. 2009
Bioinformatics and computational biology
protein structure analysis
0.112007
Con-Struct Map: a comparative contact map analysis tool · Bioinform. 2007
Bioinformatics and computational biology › protein function prediction
gene ontology annotation
0.012010
FuncBase : a resource for quantitative gene function annotation · Bioinform. 2010
Bioinformatics and computational biology › data integration
biological identifier translation
0.012009
Next generation software for functional trend analysis · Bioinform. 2009
Bioinformatics and computational biology › protein structure analysis › protein structure alignment
multiple structure alignment
0.012007
Con-Struct Map: a comparative contact map analysis tool · Bioinform. 2007
Bioinformatics and computational biology › protein structure analysis
protein structure alignment
0.012007
Con-Struct Map: a comparative contact map analysis tool · Bioinform. 2007

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

machine learning · 0.1functional linkage graph · 0.1monte carlo simulation · 0.1contact map superposition · 0.1
YearPublicationVenuePosition
2010 FuncBase : a resource for quantitative gene function annotation
abstract
SUMMARY: Computational gene function prediction can serve to focus experimental resources on high-priority experimental tasks. FuncBase is a web resource for viewing quantitative machine learning-based gene function annotations. Quantitative annotations of genes, including fungal and mammalian genes, with Gene Ontology terms are accompanied by a community feedback system. Evidence underlying function annotations is shown. For example, a custom Cytoscape viewer shows functional linkage graphs relevant to the gene or function of interest. FuncBase provides links to external resources, and may be accessed directly or via links from species-specific databases. AVAILABILITY: FuncBase as well as all underlying data and annotations are freely available via http://func.med.harvard.edu/
John E. Beaver, Murat Tasan, Francis D. Gibbons, Timothy R. Hughes, Frederick P. Roth
Bioinform.1
2009 Next generation software for functional trend analysis
abstract
UNLABELLED: FuncAssociate is a web application that discovers properties enriched in lists of genes or proteins that emerge from large-scale experimentation. Here we describe an updated application with a new interface and several new features. For example, enrichment analysis can now be performed within multiple gene- and protein-naming systems. This feature avoids potentially serious translation artifacts to which other enrichment analysis strategies are subject. AVAILABILITY: The FuncAssociate web application is freely available to all users at http://llama.med.harvard.edu/funcassociate.
Gabriel F. Berriz, John E. Beaver, Can Cenik, Murat Tasan, Frederick P. Roth
Bioinform.2
2007 Con-Struct Map: a comparative contact map analysis tool
abstract
UNLABELLED: Con-Struct Map is a graphical tool for the comparative study of protein structures. The tool detects potential conserved residue contacts shared by multiple protein structures by superimposing their contact maps according to a multiple structure alignment. In general, Con-Struct Map allows the study of structural changes resulting from, e.g. sequence substitutions, or alternatively, the study of conserved components of a structure framework across structurally aligned proteins. Specific applications include the study of sequence-structure relationship in distantly related proteins and the comparisons of wild type and mutant proteins. AVAILABILITY: http://pdbrs3.sdsc.edu/ConStructMap/viewer_argument_generator/singleArguments. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Jo-Lan Chung, John E. Beaver, Eric D. Scheeff, Philip E. Bourne
Bioinform.2