Demo Data from VLDB 2026 / reviewers in the wild / expert
Jérôme Gouzy
dblp:92/1229
· DBLP profile ↗
13ranked-venue papers
2as first author
0since 2021 · last 2017
0000-0001-5695-4557ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 13 · 2 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
10 papers |
Bioinformatics and computational biology · 97% Computational science and engineering · 3% |
Topics — the 21 heaviest of 22, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
phylogenetics |
0.3 | 3 | 2016 | RADIS: analysis of RAD-seq data for interspecific phylogeny · Bioinform. 2016 Phylogenetic exploration of bacterial genomic rearrangements · Bioinform. 2007 Browsing protein families via the 'Rich Family Description' format · Bioinform. 1999 |
Bioinformatics and computational biology › genomics › genome visualization
genome browser |
0.3 | 1 | 2017 | myGenomeBrowser: building and sharing your own genome browser · Bioinform. 2017 |
Bioinformatics and computational biology › genomics › genome visualization
web-based genome browser |
0.3 | 1 | 2017 | myGenomeBrowser: building and sharing your own genome browser · Bioinform. 2017 |
Bioinformatics and computational biology › phylogenetics
phylogenetic inference |
0.2 | 1 | 2016 | RADIS: analysis of RAD-seq data for interspecific phylogeny · Bioinform. 2016 |
Bioinformatics and computational biology
genome annotation |
0.2 | 1 | 2014 | EuGene-PP: a next-generation automated annotation pipeline for prokaryotic genomes · Bioinform. 2014 |
Bioinformatics and computational biology › sequence analysis
non-coding RNA identification |
0.2 | 1 | 2014 | EuGene-PP: a next-generation automated annotation pipeline for prokaryotic genomes · Bioinform. 2014 |
Bioinformatics and computational biology › genome annotation
prokaryotic genome annotation |
0.2 | 1 | 2014 | EuGene-PP: a next-generation automated annotation pipeline for prokaryotic genomes · Bioinform. 2014 |
Bioinformatics and computational biology › proteomics › peptide analysis
peptide detection |
0.1 | 1 | 2009 | FrameDP: sensitive peptide detection on noisy matured sequences · Bioinform. 2009 |
Bioinformatics and computational biology
transcriptomics |
0.1 | 1 | 2009 | FrameDP: sensitive peptide detection on noisy matured sequences · Bioinform. 2009 |
Bioinformatics and computational biology › genomics › genomic data management
genomic data sharing |
0.1 | 1 | 2017 | myGenomeBrowser: building and sharing your own genome browser · Bioinform. 2017 |
Bioinformatics and computational biology
genomics |
0.1 | 1 | 2016 | RADIS: analysis of RAD-seq data for interspecific phylogeny · Bioinform. 2016 |
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis |
0.1 | 1 | 2016 | RADIS: analysis of RAD-seq data for interspecific phylogeny · Bioinform. 2016 |
Computational science and engineering › scientific workflow
workflow composition |
0.1 | 1 | 2006 | REMORA: a pilot in the ocean of BioMoby web-services · Bioinform. 2006 |
Bioinformatics and computational biology › protein structure analysis
protein domain identification |
0.0 | 1 | 2009 | FrameDP: sensitive peptide detection on noisy matured sequences · Bioinform. 2009 |
Bioinformatics and computational biology › multiple sequence alignment
multiple sequence alignment visualization |
0.0 | 1 | 1999 | Browsing protein families via the 'Rich Family Description' format · Bioinform. 1999 |
Bioinformatics and computational biology › protein sequence analysis
protein family analysis |
0.0 | 1 | 1999 | Browsing protein families via the 'Rich Family Description' format · Bioinform. 1999 |
Bioinformatics and computational biology › comparative genomics
ancestral genome reconstruction |
0.0 | 1 | 2007 | Phylogenetic exploration of bacterial genomic rearrangements · Bioinform. 2007 |
Bioinformatics and computational biology › statistical genetics
gene mapping |
0.0 | 1 | 1997 | Regional assignment of genetic markers using a somatic cell hybrid panel: a WWW interactive program available for the pig genome · Comput. Appl. Biosci. 1997 |
Bioinformatics and computational biology › protein structure analysis
protein domain analysis |
0.0 | 1 | 1997 | XDOM, a graphical tool to analyse domain arrangements in any set of protein sequences · Comput. Appl. Biosci. 1997 |
Bioinformatics and computational biology
statistical genetics |
0.0 | 1 | 1997 | Regional assignment of genetic markers using a somatic cell hybrid panel: a WWW interactive program available for the pig genome · Comput. Appl. Biosci. 1997 |
Bioinformatics and computational biology
protein sequence analysis |
0.0 | 1 | 1997 | XDOM, a graphical tool to analyse domain arrangements in any set of protein sequences · Comput. Appl. Biosci. 1997 |
Methods — techniques the papers use, named apart from their topics
JBrowse · 0.3maximum likelihood · 0.2self-training integrative pipeline · 0.1gene-order-based phylogenetic tree reconstruction · 0.1web services · 0.1regular expression · 0.0profile · 0.0hidden markov model · 0.0fingerprint · 0.0consensus sequence computation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | myGenomeBrowser: building and sharing your own genome browserabstractmyGenomeBrowser is a web-based environment that provides biologists with a way to build, query and share their genome browsers. This tool, that builds on JBrowse, is designed to give users more autonomy while simplifying and minimizing intervention from system administrators. We have extended genome browser basic features to allow users to query, analyze and share their data. Availability and implementation: myGenomeBrowser is freely available at https://bbric-pipelines.toulouse.inra.fr/myGenomeBrowser and includes tutorial screencasts. Source code and installation instructions can be found at https://framagit.org/BBRIC/myGenomeBrowser . myGenomeBrowser is open-source and mainly implemented in Perl, JavaScript, Apache and Docker. Contact: [email protected]. Sébastien Carrère, Jérôme Gouzy |
Bioinform. | 2 |
| 2016 | RADIS: analysis of RAD-seq data for interspecific phylogenyabstractUNLABELLED: In an attempt to make the processing of RAD-seq data easier and allow rapid and automated exploration of parameters/data for phylogenetic inference, we introduce the perl pipeline RADIS Users of RADIS can let their raw Illumina data be processed up to phylogenetic tree inference, or stop (and restart) the process at some point. Different values for key parameters can be explored in a single analysis (e.g. loci building, sample/loci selection), making possible a thorough exploration of data. RADIS relies on Stacks for demultiplexing of data, removing PCR duplicates and building individual and catalog loci. Scripts have been specifically written for trimming of reads and loci/sample selection. Finally, RAxML is used for phylogenetic inferences, though other software may be utilized. AVAILABILITY AND IMPLEMENTATION: RADIS is written in perl, designed to run on Linux and Unix platforms. RADIS and its manual are freely available from http://www1.montpellier.inra.fr/CBGP/software/RADIS/. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Astrid Cruaud, Mathieu Gautier, Jean-Pierre Rossi, Jean-Yves Rasplus, Jérôme Gouzy |
Bioinform. | 5 |
| 2014 | EuGene-PP: a next-generation automated annotation pipeline for prokaryotic genomesabstractUNLABELLED: It is now easy and increasingly usual to produce oriented RNA-Seq data as a prokaryotic genome is being sequenced. However, this information is usually just used for expression quantification. EuGene-PP is a fully automated pipeline for structural annotation of prokaryotic genomes integrating protein similarities, statistical information and any oriented expression information (RNA-Seq or tiling arrays) through a variety of file formats to produce a qualitatively enriched annotation including coding regions but also (possibly antisense) non-coding genes and transcription start sites. AVAILABILITY AND IMPLEMENTATION: EuGene-PP is an open-source software based on EuGene-P integrating a Galaxy configuration. EuGene-PP can be downloaded at eugene.toulouse.inra.fr. Erika Sallet, Jérôme Gouzy, Thomas Schiex |
Bioinform. | 2 |
| 2009 | FrameDP: sensitive peptide detection on noisy matured sequencesabstractSUMMARY: Transcriptome sequencing represents a fundamental source of information for genome-wide studies and transcriptome analysis and will become increasingly important for expression analysis as new sequencing technologies takes over array technology. The identification of the protein-coding region in transcript sequences is a prerequisite for systematic amino acid-level analysis and more specifically for domain identification. In this article, we present FrameDP, a self-training integrative pipeline for predicting CDS in transcripts which can adapt itself to different levels of sequence qualities. AVAILABILITY: FrameDP for Linux (web-server and underlying pipeline) is available at {{http://iant.toulouse.inra.fr/FrameDP}} for direct use or a standalone installation. Jérôme Gouzy, Sébastien Carrère, Thomas Schiex |
Bioinform. | 1 |
| 2008 | LeARN: a platform for detecting, clustering and annotating non-coding RNAsabstractBACKGROUND: In the last decade, sequencing projects have led to the development of a number of annotation systems dedicated to the structural and functional annotation of protein-coding genes. These annotation systems manage the annotation of the non-protein coding genes (ncRNAs) in a very crude way, allowing neither the edition of the secondary structures nor the clustering of ncRNA genes into families which are crucial for appropriate annotation of these molecules. RESULTS: LeARN is a flexible software package which handles the complete process of ncRNA annotation by integrating the layers of automatic detection and human curation. CONCLUSION: This software provides the infrastructure to deal properly with ncRNAs in the framework of any annotation project. It fills the gap between existing prediction software, that detect independent ncRNA occurrences, and public ncRNA repositories, that do not offer the flexibility and interactivity required for annotation projects. The software is freely available from the download section of the website http://bioinfo.genopole-toulouse.prd.fr/LeARN. Céline Noirot, Christine Gaspin, Thomas Schiex, Jérôme Gouzy |
BMC Bioinform. | 4 |
| 2007 | Phylogenetic exploration of bacterial genomic rearrangementsabstractAbstract Summary: We present a graphical tool dedicated to the exploration of bacterial genome rearrangements. The principle of this exploration relies on the reconstruction of ancestral genomes at each internal node of a gene-order-based phylogenetic tree. This tool allows the selection of internal nodes to visualize the rearrangements between the inferred chromosome of this node and its direct descendant on the tree. Availability: PEGR is available at the Genopole Toulouse Bioinformatics platform. Supplementary information: Online supplementary data are available at PEGR web site: http://bioinfo.genopole-toulouse.prd.fr/pegr. Romain Fremez, Thomas Faraut, Gwennaele Fichant, Jérôme Gouzy, Yves Quentin |
Bioinform. | 4 |
| 2006 | REMORA: a pilot in the ocean of BioMoby web-servicesabstractUNLABELLED: Emerging web-services technology allows interoperability between multiple distributed architectures. Here, we present REMORA, a web server implemented according to the BioMoby web-service specifications, providing life science researchers with an easy-to-use workflow generator and launcher, a repository of predefined workflows and a survey system. CONTACT: [email protected] AVAILABILITY: The REMORA web server is freely available at http://bioinfo.genopole-toulouse.prd.fr/remora, sources are available upon request from the authors. Sébastien Carrère, Jérôme Gouzy |
Bioinform. | 2 |
| 2002 | InterPro: An Integrated Documentation Resource for Protein Families, Domains and Functional SitesabstractThe exponential increase in the submission of nucleotide sequences to the nucleotide sequence database by genome sequencing centres has resulted in a need for rapid, automatic methods for classification of the resulting protein sequences. There are several signature and sequence cluster-based methods for protein classification, each resource having distinct areas of optimum application owing to the differences in the underlying analysis methods. In recognition of this, InterPro was developed as an integrated documentation resource for protein families, domains and functional sites, to rationalise the complementary efforts of the individual protein signature database projects. The member databases - PRINTS, PROSITE, Pfam, ProDom, SMART and TIGRFAMs - form the InterPro core. Related signatures from each member database are unified into single InterPro entries. Each InterPro entry includes a unique accession number, functional descriptions and literature references, and links are made back to the relevant member database(s). Release 4.0 of InterPro (November 2001) contains 4,691 entries, representing 3,532 families, 1,068 domains, 74 repeats and 15 sites of post-translational modification (PTMs) encoded by different regular expressions, profiles, fingerprints and hidden Markov models (HMMs). Each InterPro entry lists all the matches against SWISS-PROT and TrEMBL (2,141,621 InterPro hits from 586,124 SWISS-PROT and TrEMBL protein sequences). The database is freely accessible for text- and sequence-based searches. Nicola J. Mulder, Rolf Apweiler, Terri K. Attwood, Amos Bairoch, Alex Bateman, David Binns, Margaret Biswas, Paul Bradley, Peer Bork, Philipp Bucher, Richard R. Copley, Emmanuel Courcelle, Richard Durbin, Laurent Falquet, Wolfgang Fleischmann, Jérôme Gouzy, Sam Griffiths-Jones, Daniel H. Haft, Henning Hermjakob, Nicolas Hulo, Daniel Kahn, Alexander Kanapin, Maria Krestyaninova, Rodrigo Lopez, Ivica Letunic, Sue Orchard, Marco Pagni, David Peyruc, Chris P. Ponting, Florence Servant, Christian J. A. Sigrist |
Briefings Bioinform. | 16 |
| 2002 | ProDom: Automated Clustering of Homologous DomainsabstractThe ProDom database is a comprehensive set of protein domain families automatically generated from the SWISS-PROT and TrEMBL sequence databases. An associated database, ProDom-CG, has been derived as a restriction of ProDom to completely sequenced genomes. The ProDom construction method is based on iterative PSI-BLAST searches and multiple alignments are generated for each domain family. The ProDom web server provides the user with a set of tools to visualise multiple alignments, phylogenetic trees and domain architectures of proteins, as well as a BLAST-based server to analyse new sequences for homologous domains. The comprehensive nature of ProDom makes it particularly useful to help sustain the growth of InterPro. Florence Servant, Catherine Bru, Sébastien Carrère, Emmanuel Courcelle, Jérôme Gouzy, David Peyruc, Daniel Kahn |
Briefings Bioinform. | 5 |
| 2000 | InterPro-an integrated documentation resource for protein families, domains and functional sitesabstractMOTIVATION: InterPro is a new integrated documentation resource for protein families, domains and functional sites, developed initially as a means of rationalising the complementary efforts of the PROSITE, PRINTS, Pfam and ProDom database projects. RESULTS: Merged annotations from PRINTS, PROSITE and Pfam form the InterPro core. Each combined InterPro entry includes functional descriptions and literature references, and links are made back to the relevant parent database(s), allowing users to see at a glance whether a particular family or domain has associated patterns, profiles, fingerprints, etc. Merged and individual entries (i.e. those that have no counterpart in the companion resources) are assigned unique accession numbers. Release 1.2 of InterPro (June 2000) contains over 3000 entries, representing families, domains, repeats and sites of post-translational modification (PTMs) encoded by 6581 different regular expressions, profiles, fingerprints and Hidden Markov Models (HMMs). Each InterPro entry lists all the matches against SWISS-PROT and TrEMBL (more than 1000000 hits from 264333 different proteins out of 384572 in SWISS-PROT and TrEMBL). Rolf Apweiler, Terri K. Attwood, Amos Bairoch, Alex Bateman, Ewan Birney, Margaret Biswas, Philipp Bucher, Lorenzo Cerutti, Florence Corpet, Michael D. R. Croning, Richard Durbin, Laurent Falquet, Wolfgang Fleischmann, Jérôme Gouzy, Henning Hermjakob, Nicolas Hulo, Inge Jonassen, Daniel Kahn, Alexander Kanapin, Youla Karavidopoulou, Rodrigo Lopez, Beate Marx, Nicola J. Mulder, Thomas M. Oinn, Marco Pagni, Florence Servant, Christian J. A. Sigrist, Evgeny M. Zdobnov |
Bioinform. | 14 |
| 1999 | Browsing protein families via the 'Rich Family Description' formatabstractAbstract Motivation: Multiple alignments of protein sequences are the basis of structural and functional analysis of protein families. It is however difficult even for an expert biologist to comprehend an alignment of more than 50 to 100 homologous sequences. Results: This paper presents a browser for the analysis of multiple alignments of large numbers of protein sequences. Phylogenetic trees and consensus sequences are computed and used to summarise the alignments; these data are stored in a structure called Rich Family Description. Summary alignments and trees are displayed in HTML pages and can be developed or reduced by the user. This browser is used to display the ProDom domain families on the Web. Its zooming facilities allow extracting information from alignments of more than 1000 homologous sequences. Availability: Programs are available free of charge on request from the authors. The ProDom database can be consulted at http://www.toulouse.inra.fr/prodom.html Contact: [email protected] Florence Corpet, Jérôme Gouzy, Daniel Kahn |
Bioinform. | 2 |
| 1997 | Regional assignment of genetic markers using a somatic cell hybrid panel: a WWW interactive program available for the pig genomeabstractMotivation: Quick and easy gene mapping by the use of a panel of cytogenetically characterized somatic cell hybrids is possible, even if some discordant experimental results arise. Results: An interactive program is proposed and is made available on a WWW site to users of a somatic cell hybrid panel. Assignments to chromosomes and subchromosomal regions are based on likelihood calculations and Bayes' theorem, and a confidence level is provided. The method is illustrated in the case of the pig genome. Availability: The program can be accessed free of charge at URL http:/ /www. toulouse. inra.fr/lgc/lgc.html. Contact: E-mail: [email protected] C. Chevalet, Jérôme Gouzy, M. SanCristobal-Gaudy |
Comput. Appl. Biosci. | 2 |
| 1997 | XDOM, a graphical tool to analyse domain arrangements in any set of protein sequencesabstractMOTIVATION: To extract the maximum possible information from a set of protein sequences, its modular organization must be known and clearly displayed. This is important both for structural and functional analysis. RESULTS: This paper presents an algorithm and a graphical interface called XDOM which performs a systematic analysis of the modular organization of any set of protein sequences. The algorithm is an automatic method to identify putative domains from sequence comparisons. The graphical tool displays the proteins as a set of linked boxes, corresponding to its domains. The method has been tested on a family of bacterial proteins and on whole genomes. It is currently applied to the complete SWISS-PROT database to build the PRODOM database. AVAILABILITY: XDOM is available free of charge by anonymous ftp:¿¿ftp://ftp.toulouse.inra.fr/pub/xdom¿ ¿. The ProDom database can be consulted at ¿¿http://protein.toulouse.inra.fr/prodom.html¿¿. Jérôme Gouzy, P. Eugène, Elizabeth A. Greene, Daniel Kahn, Florence Corpet |
Comput. Appl. Biosci. | 1 |