Cantons de Marchaux, Roulans, Isle-sur-le-Doubs, Clerval, Baume-les-Dames, Rougemont (Doubs)

Les prospections au sol, bien que quelque peu gênées par une météorologie capricieuse, ont néanmoins permis la localisation de plusieurs sites inédits. Sites de hauteur pour la plupart, ils ont été identifiés comme des vigies ou des retranchements utilisés par les populations locales au cours des différentes périodes de troubles qui se sont succédé dans notre région depuis l’Antiquité. Parallèlement à ces prospections et compte tenu de l’évolution des techniques d’exploitation agricoles, une ..

Département du Doubs

Date de l'opération : 2001 (ME) Les prospections de l’exercice 2001 ont été menées pour leur grande majorité sur le territoire de la commune de Clerval et aux alentours. Les pentes rocailleuses et boisées, entrecoupées de terrasses, qui entourent ce lieu de passage très fréquenté depuis la plus haute Antiquité, ont été soigneusement prospectées. Bien qu’aucune implantation n’y ait encore été décelée, l’importance et la variété du mobilier recueilli constituent des indices certains d’une fréqu..

Département du Doubs

Date de l'opération : 2001 (ME) Les prospections de l’exercice 2001 ont été menées pour leur grande majorité sur le territoire de la commune de Clerval et aux alentours. Les pentes rocailleuses et boisées, entrecoupées de terrasses, qui entourent ce lieu de passage très fréquenté depuis la plus haute Antiquité, ont été soigneusement prospectées. Bien qu’aucune implantation n’y ait encore été décelée, l’importance et la variété du mobilier recueilli constituent des indices certains d’une fréqu..

Cantons de Marchaux, Roulans, Baume-les-Dames, Rougemont, Clerval, Isle-sur-le-Doubs

La découverte de deux nouveaux sites gallo-romains au nord-est de Clerval porte à une dizaine le nombre des implantations antiques recensées dans ce secteur. Réparties sur le territoire de trois communes et de nature diverse (grottes, villae, nécropoles…), elles témoignent d’une occupation continue, du Néolithique au haut Moyen Âge. L’année 2000 est le point de départ d’un thème de prospections tourné sur la recherche et la localisation de sites en relation avec la guerre de 1870. Les emplace..

Ergothérapie et transition écologique : tensions et possibles - Conférence de Marie-Josée Drolet

Sans résumé

Rapid analysis of fluoxetine and its metabolite in plasma by LC-MS with column-switching approach

Abstract.: A rapid and sensitive method was developed for the simultaneous determination of fluoxetine and its primary metabolite, norfluoxetine, in plasma. It was based on a column-switching approach with a precolumn packed with large size particles coupled with a liquid chromatography-electrospray ionisation-mass spectrometry (LC-ESI-MS). After a simple centrifugation, plasma samples were directly injected onto the precolumn. The endogenous material was excluded thanks to a high flow rate while analytes were retained by hydrophobic interactions. Afterwards, the target compounds were eluted in back flush mode to an octadecyl analytical column and detected by ESI-MS. The overall analysis time per sample, from plasma sample preparation to data acquisition, was achieved in less than 4min. Method performances were evaluated. The method showed good linearity in the range of 25-1000ngmL−1 with a determination coefficient higher than 0.99. Limits of quantification were estimated at 25ngmL−1 for fluoxetine and norfluoxetine. Moreover, method precision was better than 6% in the studied concentration range. These results demonstrated that the method could be used to quantify target compounds. Finally, the developed assay proved to be suitable for the simultaneous analysis of fluoxetine and its metabolite in real plasma sample

Easy retrieval of single amino-acid polymorphisms and phenotype information using SwissVar

Summary: The SwissVar portal provides access to a comprehensive collection of single amino acid polymorphisms and diseases in the UniProtKB/Swiss-Prot database via a unique search engine. In particular, it gives direct access to the newly improved Swiss-Prot variant pages. The key strength of this portal is that it provides a possibility to query for similar diseases, as well as the underlying protein products and the molecular details of each variant. In the context of the recently proposed molecular view on diseases, the SwissVar portal should be in a unique position to provide valuable information for researchers and to advance research in this area. Availability: The SwissVar portal is available at www.expasy.org/swissvar Contact: [email protected]; [email protected] Supplementary information: Supplementary data are available at Bioinformatics onlin

Mapping proteins to disease terminologies: from UniProt to MeSH

<p>Abstract</p> <p>Background</p> <p>Although the UniProt KnowledgeBase is not a medical-oriented database, it contains information on more than 2,000 human proteins involved in pathologies. However, these annotations are not standardized, which impairs the interoperability between biological and clinical resources. In order to make these data easily accessible to clinical researchers, we have developed a procedure to link diseases described in the UniProtKB/Swiss-Prot entries to the MeSH disease terminology.</p> <p>Results</p> <p>We mapped disease names extracted either from the UniProtKB/Swiss-Prot entry comment lines or from the corresponding OMIM entry to the MeSH. Different methods were assessed on a benchmark set of 200 disease names manually mapped to MeSH terms. The performance of the retained procedure in term of precision and recall was 86% and 64% respectively. Using the same procedure, more than 3,000 disease names in Swiss-Prot were mapped to MeSH with comparable efficiency.</p> <p>Conclusions</p> <p>This study is a first attempt to link proteins in UniProtKB to the medical resources. The indexing we provided will help clinicians and researchers navigate from diseases to genes and from genes to diseases in an efficient way. The mapping is available at: <url>http://research.isb-sib.ch/unimed</url>.</p

Gene Ontology density estimation and discourse analysis for automatic GeneRiF extraction

<p>Abstract</p> <p>Background</p> <p>This paper describes and evaluates a sentence selection engine that extracts a GeneRiF (Gene Reference into Functions) as defined in ENTREZ-Gene based on a MEDLINE record. Inputs for this task include both a gene and a pointer to a MEDLINE reference. In the suggested approach we merge two independent sentence extraction strategies. The first proposed strategy (LASt) uses argumentative features, inspired by discourse-analysis models. The second extraction scheme (GOEx) uses an automatic text categorizer to estimate the density of Gene Ontology categories in every sentence; thus providing a full ranking of all possible candidate GeneRiFs. A combination of the two approaches is proposed, which also aims at reducing the size of the selected segment by filtering out non-content bearing rhetorical phrases.</p> <p>Results</p> <p>Based on the TREC-2003 Genomics collection for GeneRiF identification, the LASt extraction strategy is already competitive (52.78%). When used in a combined approach, the extraction task clearly shows improvement, achieving a Dice score of over 57% (+10%).</p> <p>Conclusions</p> <p>Argumentative representation levels and conceptual density estimation using Gene Ontology contents appear complementary for functional annotation in proteomics.</p