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http://clones.invitrogen.com/cloneranger.php
The Invitrogen Clone Collection: * Ultimate ORF Clones: Full-insert sequenced human and mouse open reading frames (ORFs) in a Gateway entry vector offering the highest utility for your downstream analysis needs. * GeneStorm Clones: GeneStorm Clones are human ORFs cloned and tested for expression in a mammalian, insect, or bacterial expression system. They are sequenced for identity and classification and are not guaranteed at the nucleotide level. * Full-Length Clones: An unparalleled repository of clones enriched for full-length inserts, derived from both public and proprietary sources. * BAC/PAC Clones: Invitrogen offers several genomic libraries from a selection of tissues and sources to facilitate your research and discovery. These collections are available in a variety of formats including clones, plates, pools and high-density colony membrane filters. * Yeast Deletions: Each yeast deletion represents a unique gene-knockout of the S. cerevisiae genome. Each open reading frame is knocked out using a PCR-based gene deletion strategy. Yeast deletions are available as clones, pools, plates and complete collections. * Yeast GFP Clones: The Yeast GFP Clone Collection of S. cerevisiae tagged open reading frames were generated by Dr. Erin O''Shea and Dr. Jonathan Weissman at University of California-San Francisco. The GFP fusion proteins are integrated into the yeast chromosome through homologous recombination and are expressed using endogenous promoters.
Proper citation: Invitrogen Clones (RRID:SCR_005371) Copy
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
