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Bernard Jacq

dblp:23/4584 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 4 · 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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein function prediction
protein classification
0.112006
PRODISTIN Web Site: a tool for the functional classification of proteins from interaction networks · Bioinform. 2006
Bioinformatics and computational biology › protein function prediction
gene ontology annotation
0.012006
PRODISTIN Web Site: a tool for the functional classification of proteins from interaction networks · Bioinform. 2006
Bioinformatics and computational biology › knowledge representation in biology
biological database and knowledge base
0.011997
A Knowledge Base for D. melanogaster Gene Interactions Involved in Pattern Formation · ISMB 1997
YearPublicationVenuePosition
2006 PRODISTIN Web Site: a tool for the functional classification of proteins from interaction networks
abstract
UNLABELLED: The PRODISTIN Web Site is a web service allowing users to functionally classify genes/proteins from any type of interaction network. The resulting computation provides a classification tree in which (1) genes/proteins are clustered according to the identity of their interaction partners and (2) functional classes are delineated in the tree using the Biological Process Gene Ontology annotations. AVAILABILITY: The PRODISTIN Web Site is freely accessible at http://gin.univ-mrs.fr/webdistin
Anaïs Baudot, David Martin 0003, Pierre Mouren, François Chevenet, Alain Guénoche, Bernard Jacq, Marie-Christine Brun
Bioinform.6
2006 TreeDyn: towards dynamic graphics and annotations for analyses of trees
abstract
BACKGROUND: Analyses of biomolecules for biodiversity, phylogeny or structure/function studies often use graphical tree representations. Many powerful tree editors are now available, but existing tree visualization tools make little use of meta-information related to the entities under study such as taxonomic descriptions or gene functions that can hardly be encoded within the tree itself (if using popular tree formats). Consequently, a tedious manual analysis and post-processing of the tree graphics are required if one needs to use external information for displaying or investigating trees. RESULTS: We have developed TreeDyn, a tool using annotations and dynamic graphical methods for editing and analyzing multiple trees. The main features of TreeDyn are 1) the management of multiple windows and multiple trees per window, 2) the export of graphics to several standard file formats with or without HTML encapsulation and a new format called TGF, which enables saving and restoring graphical analysis, 3) the projection of texts or symbols facing leaf labels or linked to nodes, through manual pasting or by using annotation files, 4) the highlight of graphical elements after querying leaf labels (or annotations) or by selection of graphical elements and information extraction, 5) the highlight of targeted trees according to a source tree browsed by the user, 6) powerful scripts for automating repetitive graphical tasks, 7) a command line interpreter enabling the use of TreeDyn through CGI scripts for online building of trees, 8) the inclusion of a library of packages dedicated to specific research fields involving trees. CONCLUSION: TreeDyn is a tree visualization and annotation tool which includes tools for tree manipulation and annotation and uses meta-information through dynamic graphical operators or scripting to help analyses and annotations of single trees or tree collections.
François Chevenet, Marie-Christine Brun, Anne-Laure Bañuls, Bernard Jacq, Richard Christen
BMC Bioinform.4
2001 Protein Function From the Perspective of Molecular Interactions and Genetic Networks
abstract
Protein function is a complex notion, which is now receiving renewed attention from a bioinformatics and genomics perspective. After a general discussion of the principles of experimental methods employed to decipher gene/protein function, the contributions made by new, high-throughput methods in terms of function discovery are discussed. Recent work on functional ontologies and the necessity to describe function within the context of hierarchical levels of complexity are presented. The concepts of molecular interactions and genetic networks are then discussed, leading to a useful new framework with which to describe protein function using new tools such as 2D interaction maps. Finally, it is proposed that interaction data could be used to develop new methods for the functional classification of proteins. An example of functional comparisons on a real data set of yeast chromosomal proteins is presented.
Bernard Jacq
Briefings Bioinform.1
1997 A Knowledge Base for D. melanogaster Gene Interactions Involved in Pattern Formation
Jérôme Euzenat, Christophe Chemla, Bernard Jacq
ISMB3