Search results for "Bioinformatic"

showing 10 items of 1651 documents

Approche préventive de la qualité des données d'importation dans le contexte de la protéomique clinique

2011

International audience; Dans le domaine biomédical, la protéomique est confrontée à des sources de données de plus en plus nombreuses et à des volumes de données très importants du fait de la multiplication des technologies dites à haut débit. L'hétérogénéité de la provenance des données implique de fait une hétérogénéité dans la représentation et le contenu de ces données. Les données peuvent aussi se révéler incorrectes ce qui engendre des erreurs sur les conclusions des expériences protéomiques. Notre approche a pour objectif de garantir la qualité initiale des données lors de leur importation dans un système d'information dédié à la protéomique. Elle est basée sur le couplage entre des …

[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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CeLL, an agent based model for exploring the spatial influence influence of climate change on Lobesia botrana population dynamics

2016

International audience; The European Grapevine moth (Lobesia botrana) is one of the most noxious vineyard-pests in the European and Mediterranean area. Its larvae feed on grapevine flowers and berries, and usually cause considerable damage, also by facilitating saphrophytic infections to berries.The biology of L. botrana has been investigated since the 80s. A number of studies has tested its physiology and behaviour in experimental conditions (Hurtrel et Thiéry 1999), in field conditions (Stockel et al. 1994), and using mathematical modelling techniques. Whereas the modelling approaches that have been proposed in the literature are hetereogeneus they generally focus on the phenology and pop…

[SDE.MCG]Environmental Sciences/Global Changes[SHS.GEO] Humanities and Social Sciences/GeographyAgriculture[SHS.GEO]Humanities and Social Sciences/GeographyVineyard landscape[ SHS.GEO ] Humanities and Social Sciences/Geography[SDE.MCG] Environmental Sciences/Global Changes[ SDE.MCG ] Environmental Sciences/Global Changes[SDV.EE.BIO] Life Sciences [q-bio]/Ecology environment/BioclimatologyLobesia botranaAgent based modeling[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.BIO ] Life Sciences [q-bio]/Ecology environment/Bioclimatology[SDV.EE.BIO]Life Sciences [q-bio]/Ecology environment/Bioclimatology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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Analysis of headspace of flavour compounds using PTR-ToF Mass Spectrometry: optimisation of acquisition parameters

2011

National audience

[SDV.AEN] Life Sciences [q-bio]/Food and NutritionBioinformatics et biostatistics dedicated to proteomics[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Decoding sweet taste from chemical structures

2019

International audience

[SDV.BBM.BP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Biophysics[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry[SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biophysics[CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry[CHIM] Chemical Sciences[CHIM.CHEM] Chemical Sciences/Cheminformatics[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular Biology[CHIM]Chemical Sciences[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC][SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular Biology[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]ComputingMilieux_MISCELLANEOUS[CHIM.CHEM]Chemical Sciences/Cheminformatics[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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L'annuaire des Centres de Ressources Biologiques français

2011

International audience

[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]ComputingMilieux_MISCELLANEOUS[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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The I3-CRB project and the French biological ressources centers

2010

International audience

[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]ComputingMilieux_MISCELLANEOUS[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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Etudes d'objets combinatoires : applications à la bio-informatique

2011

This thesis considers classes of combinatorial objects that model data in bioinformatics. We have studied two methods of mutation of genes within the genome : duplication and inversion. At first,we study the problem of the whole mirror duplication-random lossmodel in terms of pattern avoiding permutations. We prove that the class of permutations obtained with this method after p duplications from the identity is the class of permutations avoiding alternating permutations of length 2p + 1.We also enumerate the number of duplications that are necessary and sufficient to obtain any permutation of length n from the identity. We also suggest two efficient algorithms to reconstruct two different …

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesCompositions d’entiers[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesBioinformaticsDuplicationcompositions d'entiersCompositions of integersInversionDuplicationsPermutationsInversionsGray codes[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationCodes de Gray[ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]CombinatoricsBio-informatiqueCombinatoire[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences
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GnS-PIPE: an optimized bionformatic pipeline to efficiently assess microbial taxonomic diversity of complex environments using high throughput sequen…

2013

International audience; The rRNA genes (16S, 18S, ITS) are widely used to study microbial communities in soils, as they can be easily amplified from metagenomic DNA. Moreover, the recent development of high-throughput sequencing technologies allows the assessment of millions of sequences from a single metagenomic DNA. Some pipelines are already available (e.g. QIIME or Mothur) to efficiently treat such data. However, the development of bioinformatic tools must now be validated by various biological tests. This was particularly true for key steps to appraise microbial diversity and richness. Here, we present a new pipeline named GnS-PIPE, a software application performing bacterial, archaeal…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesbioinformatic[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyrRNA genepipeline[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyGnS-PIPEhigh throughput sequencingsoil microbial diversity
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GnS-PIPE: an optimized bionformatic pipeline to efficiently assess microbial taxonomic diversity of complex environments using high throughput sequen…

2013

International audience; The rRNA genes (16S, 18S, ITS) are widely used to study microbial communities in soils, as they can be easily amplified from metagenomic DNA. Moreover, the recent development of high-throughput sequencing technologies allows the assessment of millions of sequences from a single metagenomic DNA. Some pipelines are already available (e.g. QIIME or Mothur) to efficiently treat such data. However, the development of bioinformatic tools must now be validated by various biological tests. This was particularly true for key steps to appraise microbial diversity and richness. Here, we present a new pipeline named GnS-PIPE, a software application performing bacterial, archaeal…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesbioinformatic[SDV]Life Sciences [q-bio][SDE]Environmental SciencesrRNA genepipeline[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyGnS-PIPEhigh throughput sequencingsoil microbial diversity
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Prise en compte de la technologie dans la quantification des biomarqueurs

2016

International audience; Part de la variance technologique dans la quantification des biomarqueurs. Exemple en protéomique avec la technologie MALDI-TOF

[SDV] Life Sciences [q-bio][SDV.BIO]Life Sciences [q-bio]/Biotechnology[SDV]Life Sciences [q-bio]bioinformatics spectrum analysis signal processing mass spectrometry MALDI[SDV.BIO] Life Sciences [q-bio]/Biotechnology
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