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name
van Helden Jacques
van Helden J.
Helden Jacques van
Helden Jacques Van
Van Helden Jacques
van Helden, Jacques
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jacques.van.helden@ulb.ac.be
Jacques.van-Helden@univ-amu.fr
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http://hub.abes.fr/oup/periodical/bioinformatics/2004/volume_20/issue_3/101093bioinformaticsbtg425/authorship/1
http://hub.abes.fr/oup/periodical/nar/2003/volume_31/issue_13/101093nargkg567/authorship/1
http://hub.abes.fr/oup/periodical/bioinformatics/2004/volume_20/issue_15/101093bioinformaticsbth252/authorship/4
http://hub.abes.fr/oup/periodical/bioinformatics/2009/volume_25/issue_23/101093bioinformaticsbtp557/authorship/3
http://hub.abes.fr/oup/periodical/nar/1999/volume_27/issue_1/101093nar27159/authorship/4
http://hub.abes.fr/oup/periodical/bioinformatics/2005/volume_21/issue_17/101093bioinformaticsbti558/authorship/4
http://hub.abes.fr/oup/periodical/nar/2000/volume_28/issue_8/101093nar2881808/authorship/1
http://hub.abes.fr/oup/periodical/nar/2008/volume_36/issue_suppl2/101093nargkn336/authorship/8
http://hub.abes.fr/oup/periodical/bioinformatics/2009/volume_25/issue_20/101093bioinformaticsbtp490/authorship/2
http://hub.abes.fr/oup/periodical/bioinformatics/2008/volume_24/issue_6/101093bioinformaticsbtn043/authorship/2
http://hub.abes.fr/oup/periodical/bioinformatics/2009/volume_25/issue_20/101093bioinformaticsbtp519/authorship/3
http://hub.abes.fr/oup/periodical/bioinformatics/2010/volume_26/issue_9/101093bioinformaticsbtq105/authorship/4
http://hub.abes.fr/oup/periodical/nar/2003/volume_31/issue_4/101093nargkg213/authorship/9
http://hub.abes.fr/oup/periodical/nar/2005/volume_33/issue_suppl2/101093nargki437/authorship/4
http://hub.abes.fr/oup/periodical/nar/2005/volume_33/issue_suppl1/101093nargki053/authorship/5
http://hub.abes.fr/oup/periodical/nar/2000/volume_28/issue_4/101093nar2841000/authorship/1
http://hub.abes.fr/oup/periodical/nar/2008/volume_36/issue_suppl2/101093nargkn304/authorship/8
http://hub.abes.fr/edp/periodical/medsci/2020/volume_36/issue_89/msc200195/authorship/4
is
Author
of
Prophinder: a computational tool for prophage prediction in prokaryotic genomes
Retrieve-ensembl-seq: user-friendly and large-scale retrieval of single or multi-genome sequences from Ensembl
Metabolic PathFinding: inferring relevant pathways in biochemical networks
NeAT: a toolbox for the analysis of biological networks, clusters, classes and pathways
Discrimination of yeast genes involved in methionine and phosphate metabolism on the basis of upstream motifs
Discovering regulatory elements in non-coding sequences by analysis of spaced dyads
Metrics for comparing regulatory sequences on the basis of pattern counts
Pathway discovery in metabolic networks by subgraph extraction
Regulatory Sequence Analysis Tools
RegulonDB (version 2.0): a database on transcriptional regulation in Escherichia coli
Combining pattern discovery and discriminant analysis to predict gene co-regulation
info-gibbs: a motif discovery algorithm that directly optimizes information content during sampling
Molecular evolution of eukaryotic genomes: hemiascomycetous yeast spliceosomal introns
CYGD: the Comprehensive Yeast Genome Database
Statistical analysis of yeast genomic downstream sequences reveals putative polyadenylation signals
RSAT: regulatory sequence analysis tools
In response to ‘Can sugars be produced from fatty acids? A test case for pathway analysis tools’
http://hub.abes.fr/edp/periodical/medsci/2020/volume_36/issue_89/msc200195/w
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