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on page 1 showing 4 out of 4 results

Cite this (CSHL - Hannon Lab, RRID:SCR_005982)

URL: http://hannonlab.cshl.edu/index.html

Resource Type: Resource, laboratory portal, portal, organization portal, data or information resource

The Hannon laboratory comprises a broad spectrum of programs in small RNA biology, mammalian genetics and genomics. We study RNAi and related pathways in a wide variety of organisms to extract common themes that define both the mechanisms by which small RNAs act and the biological processes which they impact. Currently, we focus on microRNAs, endogenous siRNAs and piRNAs and their roles in gene regulation, cancer biology, stem cell biology and in defense of the genome against transposons. In collaboration with Steve Elledge (Harvard) and Scott Lowe (CSHL), we develop genome-wide shRNA tools for RNAi-based genetics in mammalian cells, and we are now producing similar collections of artificial microRNAs for Arabidopsis with Detlef Weigel (MPI), Dick McCombie (CSHL) and Rob Martienssen (CSHL) as part of the 2010 project (see 2010.cshl.edu). Our genomic efforts include the application of RNAi-based genetic screens to cancer biology and stem cells. We also make heavy use of next generation sequencing methodologies for probing small RNA populations, in part as a member of the ENCODE consortium (with Tom Gingeras, CSHL). Finally, we develop (with Dick McCombie) and apply focal re-sequencing methods for identifying disease relevant mutations, for probing the epigenetic landscape and for the study of human evolution.

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Cite this (Genoscope, RRID:SCR_002172)

URL: http://www.genoscope.cns.fr/spip/spip.php?lang=en

Resource Type: Resource, organization portal, database, portal, data or information resource

French national sequencing center with the following resources: * Sequencing ** Genoscope Projects * Environmental genomics ** Microbial diversity in wastewater ** Metabolic genomics * Bioinformatics ** Atelier for comparative genomics ** Computational Systems Biology ** Servers resources *** GGB for Generic Genome Browser: graphic interface for various databases (sequence, annotation, syntenies...) for a given organism. *** MaGe for Magnifying Microbial Genomes: annotation system for microbial genomes.

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Cite this (Plant Metabolic Network, RRID:SCR_003778)

URL: http://www.plantcyc.org/

Resource Type: Resource, topical portal, ontology, training resource, database, analysis service resource, production service resource, data analysis service, image collection, service resource, portal, storage service resource, data repository, controlled vocabulary, data or information resource

Broad network of plant metabolic pathway databases with two types of databases: a reference database called PlantCyc and single species/taxon databases, such as AraCyc. Additional external metabolic pathway databases are affiliated with the PMN. These databases remain under the autonomous control of the PMN collaborators who provide them. PMN draws upon the work of many individuals with expertise in annotating genomes, generating metabolic pathway databases, curating biochemical information from the literature, and forming extensive network of collaborations with biological databases and biochemistry researchers. In addition to providing biochemical reaction diagrams, organism-specific metabolic maps, detailed descriptions of enzymes and pathways, and links to other resources, the PMN website houses tutorials to help guide teachers and students as they learn more about the valuable bioinformatic data and analysis tools that are crucial elements of modern biological research. Please help expand the content of the PMN databases, including AraCyc and PlantCyc! Any and all new data submissions related to plant biochemical pathways are welcomed. You can also correct an existing pathway. The PMN has several tools available for analyzing the data presented in PlantCyc and the other species-specific metabolic databases. You may browse the pathway ontology, compound ontology, and enzyme commission ontology. *PlantCyc: a comprehensive plant biochemical pathway database, containing curated information from the literature and computational analyses about the genes, enzymes, compounds, reactions, and pathways involved in primary and secondary metabolism. It provides access to manually curated or reviewed information about shared and unique metabolic pathways present in over 350 plant species. * AraCyc: provides access to manually curated or reviewed information about metabolic pathways for the model plant Arabidopsis thaliana. The pathways may be unique to Arabidopsis or shared with other organisms. Data from gene expression, proteomic, and metabolomic experiments in Arabidopsis can be overlaid on a metabolic pathway map using the OMICS Viewer. * PoplarCyc: provides access to manually curated or reviewed information about metabolic pathways for the model tree Populus trichocarpa and a few other related Populus species and hybrids. The pathways may be unique to poplar or shared with other organisms. Data from gene expression, proteomic, and metabolomic experiments in poplar can be overlaid on a metabolic pathway map using the OMICS Viewer.

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Cite this (The WWW Virtual Library: Model Organisms, RRID:SCR_007007)

URL: http://ceolas.org/VL/mo/

Resource Type: Resource, topical portal, portal, data or information resource

Catalog of internet resources relating to biological model organisms, and is part of the Biosciences area of the Virtual Library project. The main Model Organisms Library discussed in this website are: * E. coli (bacterium) * Yeasts (Saccharomyces cerevisiae, and other species) * Dictyostelium discoideum (slime mold) * Drosophila melanogaster (fruit fly) * Xenopus laevis (African clawed frog) Many aspects of biology are similar in most or all organisms, but it is frequently much easier to study particular aspects in particular organisms - for instance, genetics is easier in small organisms that breed quickly, and very difficult in humans! The most popular model organisms have strong advantages for experimental research, and become even more useful when other scientists have already worked on them, discovering techniques, genes and other useful information.

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