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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
Offer biorepository services to public and private research institutes, to the highest standards of quality and safety with the aim of contributing to the advancement of medical research and scientific discovery. The BioRep Cell Repository establishes, maintains and distributes cell line cultures as well as DNA derived from these cultures. The scientific and business affiliation between BioRep and Coriell allows access to more than a million types of cell vials, stored in liquid nitrogen. Cells that have been stored for nearly 50 years, are still viable and available for research purposes today. Thanks to an exclusive agreement with the Coriell Institute for Medical Research, the oldest and largest biorepository of the world, BioRep is specialized in cell lines preparation, in nucleic acid extraction and long term storage in liquid nitrose (-196 degrees C) and in refrigerators (-80 degrees C) of any kind of biosamples, using procedures and standards developed by the Coriell in over 50 years of activity. BioRep and Coriell together constitute one of the few Global Biorepository able to serve the pharmaceutical industries for world wide clinical trials. BioRep facility is specifically designed to give the utmost efficiency and security by implementing Coriell procedures and standards. The BioRep Tissue Repository provides safe and secure storage of tissue specimens as required for medical research and scientific investigation. All tissues are preserved with the most current preservation techniques and processes. In addition to the storage service, BioRep provides Cell Biology, Molecular Biology, Microbiology services developed in ISO 9001:2008 certified laboratories.
Proper citation: BioRep (RRID:SCR_004907) Copy
https://obofoundry.org/ontology/cl.html
Ontology designed as a structured controlled vocabulary for cell types. It was constructed for use by the model organism and other bioinformatics databases. It includes cell types from prokaryotes, mammals, and fungi. The ontology is available in the formats adopted by the Open Biological Ontologies umbrella and is designed to be used in the context of model organism genome and other biological databases.
Proper citation: Cell Type Ontology (RRID:SCR_004251) Copy
http://www.cbs.dtu.dk/services/NetOGlyc/
Server that produces predictions of mucin-type GalNAc O-glycosylation sites in mammalian proteins.
Proper citation: NetOGlyc (RRID:SCR_009026) Copy
http://www.informatics.jax.org/searches/MP_form.shtml
Community ontology to provide standard terms for annotating mammalian phenotypic data. It has a hierarchical structure that permits a range of detail from high-level, broadly descriptive terms to very low-level, highly specific terms. This range is useful for annotating phenotypic data to the level of detail known and for searching for this information using either broad or specific terms as search criteria. Your input is welcome.
Proper citation: MPO (RRID:SCR_004855) Copy
http://www.incf.org/activities/our-programs/pons/cumbo
Ontology of formal definitions (i.e., machine processable) for the types of structures commonly described in neuroanatomy.
Proper citation: Common Upper Mammalian Brain Ontology (RRID:SCR_003629) Copy
Program consisting of three Task Forces and one Working Group to promote data exchange and integration in the neurosciences by developing terminology standards and formal ontologies for neural structures. Closely linked to the Program on Digital Brain Atlasing, the Program aims to establish a structured lexicon for the translation and definition of terms describing neural structures at multiple levels of granularity. The three Task Forces and one Working Group involved in the PONS effort: * Structural lexicon * Neuron registry * Representation and deployment * KnowledgeSpace Working Group Structural lexicon, Neuron registry, Representation and deployment, and KnowledgeSpace Working Group.
Proper citation: Program on Ontologies of Neural Structures (RRID:SCR_003549) Copy
Web tool to predict biological targets of miRNAs by searching for presence of conserved 8mer, 7mer and 6mer sites that match seed region of each miRNA. Nonconserved sites are also predicted and sites with mismatches in seed region that are compensated by conserved 3' pairing. Used to search for predicted microRNA targets in mammals.
Proper citation: TargetScan (RRID:SCR_010845) Copy
A Swiss-led project with the aim of reverse engineering the mammalian brain and achieving a complete virtual human brain. The researchers have demonstrated the validity of their method by developing a realistic model of a rat cortical column, consisting of about 10,000 neurons. The eventual goal is to simulate systems of millions and hundreds of millions of neurons. The virtual brain will be an exceptional tool giving neuroscientists a new understanding of the brain and a better understanding of neurological diseases. In five years of work, Henry Markram's team has perfected a facility that can create realistic models of one of the brain's essential building blocks. This process is entirely data driven and essentially automatically executed on the supercomputer. Meanwhile the generated models show a behavior already observed in years of neuroscientific experiments. These models will be basic building blocks for larger scale models leading towards a complete virtual brain.
Proper citation: Blue Brain Project (RRID:SCR_002994) Copy
http://hannonlab.cshl.edu/index.html
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.
Proper citation: CSHL - Hannon Lab (RRID:SCR_005982) Copy
http://www-personal.umich.edu/~brdsmith/Research.html
Data set of image collections and movies including Magnetic Resonance Imaging of Embryos, Human Embryo Imaging, MRI of Cardiovascular Development, and Live Embryo Imaging. Individual MRI slice images, three-dimensional images, animations, stereo-pair animations, animations of organ systems, and photo-micrographs are included.
Proper citation: Brad Smith Magnetic Resonance Imaging of Embryos (RRID:SCR_006300) Copy
http://www.scienceexchange.com/facilities/division-of-comparative-pathology-miami
The Division of Comparative Pathology is a full service veterinary pathology laboratory with both clinical pathology and histology services. Routine hematology and serum biochemistry testing is available for multiple species; we work well with low volume samples. Specialized testing is available or can be implemented as needed. Routine histology services including processing, embedding, and sectioning are available with many routine and special staining options.
Proper citation: UM Miller School of Medicine Division of Comparative Pathology (RRID:SCR_012492) Copy
http://wiki.c2b2.columbia.edu/califanolab/index.php/Software/ARACNE
An algorithm, using microarray expression profiles, to scale up to the complexity of regulatory networks in mammalian cells, yet general enough to address a wider range of network deconvolution problems. This method uses an information theoretic approach to eliminate the vast majority of indirect interactions typically inferred by pairwise analysis.
Proper citation: ARACNE (RRID:SCR_002180) Copy
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