Curator Dashboard

An ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish. It contains (as of August 2010) over 38,500 names, and over 44,000 taxonomic synonyms. A majority of the taxonomic names and synonyms were made available from the Catalog of Fishes. In July 2010 they added nearly 15,000 common names provided by Fishbase. Additional names and synonyms are added as a result of their curation activities. The ontology is being used to facilitate annotation of phenotypes, particularly for taxa that are not covered by NCBI because no submissions of molecular data have been made. Taxonomy ontologies can also be valuable in annotating legacy data, where authors make phenotype or ecological assertions (e.g., host-parasite associations) that refer to groups that are reorganized or no longer recognized. The taxonomy ontology serves as the source of taxa for their project's use for identifying evolutionary changes that match the phenotype of a zebrafish mutant.

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• SciCrunch
• 14 years ago - by Anonymous

A multi-species anatomy ontology for teleost fishes. It was originally seeded from ZFA, but covers terms relevant to other taxa. The TAO uses terms from the Common Anatomy Reference Ontology (CARO) as a template for its upper level nodes, and the Vertebrate Skeletal Anatomy Ontology (VSAO) for general skeletal anatomy classes. Growth of the TAO is enabled by contributions from data curators and the ichthyological community. The TAO can be browsed by using the NCBO BioPortal and data annotated using TAO terms can be queried using the Phenoscape Knowedgebase.

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• SciCrunch
• 14 years ago - by Anonymous

Database that collects published lifespan data across multiple species. The entire database is available for download in various formats including XML, YAML and CSV.

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• SciCrunch
• 14 years ago - by Anonymous

Allows annotation of gene expression at all stages of development and tissue types (including sub cellular location) using standard Drosophila anatomy ontology. All methods of input use a controlled vocabulary to ensure data integrity.

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• SciCrunch
• 14 years ago - by Anonymous

A structured controlled vocabulary of the anatomy of Drosophila melanogaster. These ontologies are query-able reference sources for information on Drosophila anatomy and developmental stages. They also provide controlled vocabularies for use in annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. They were originally developed by FlyBase, who continue to maintain them and have used them for over 200,000 annotations of phenotypes and expression. Extensive use of synonyms means that, given a suitably sophisticated autocomplete, users can find relevant content by searching with almost any anatomical term they find in the literature. These ontologies are developed in the web ontology language OWL2. Their extensive formalization in OWL can be used to drive sophisticated query systems.

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• SciCrunch
• 14 years ago - by Anonymous

The NIDDK Information Network (dkNET) is a community-based network to serve needs of basic and clinical investigators that includes large pools of data and research resources relevant to mission of National Institute of Diabetes and Digestive and Kidney Disease.

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• SciCrunch
• 13 years ago - by Anonymous

Server that produces neural network predictions for O-beta-GlcNAc attachment sites in eukaryotic protein sequences. This server can also use NetPhos, to mark possible phosphorylated sites and hence identify Yin-Yang sites. YinOYang 1.2 is available as a stand-alone software package, with the same functionality. Ready-to-ship packages exist for the most common UNIX platforms.

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• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 28, 2017. A resequencing package designed for mutation detection and analysis, SNP discovery and validation, pathogen sub-typing, allele identification and sequence confirmation.

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• SciCrunch
• 13 years ago - by Anonymous

Access to Quicktime movies of histologic mouse anatomy including heart / lung, kidney, mammary gland, lymph node, prostate, spleen, liver, salivary glands, and 3-D wire model based on MRI sections; a Quicktime mouse radiographic atlas of skeletal anatomy containing a series of radiographic images with color overlays and labels; and a table containing a comparison between mouse and human anatomy. Special topics include the virtual necroscopy. Anatomic systems cover the central nervous system, male genital-urinary tract, female genital-urinary tract, mammary, kidney, skeletal, cardiovascular, gastrointestinal, and respiratory systems. The pathology and imaging section includes anatomy, histology, comparative imaging, physiology, pathology, comparative mammary, comparative prostate, GEM, and an image archive. These pages were put together as a pilot demonstration by Dr. Robert Cardiff, UCD Center for Comparative Medicine with the collaboration of Dr. Michael Paulus, Oak Ridge National Laboratories,MicroCat Group, Dr. Allan Johnson, Duke University Center for In Vivo Microscopy, and Drs. Steve Griffey, Gary Henderson and Tom Jue, University of California, Davis. This is a work in progress and for demonstration purposes.

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• SciCrunch
• 14 years ago - by Anonymous

A tool that can predict the possible oligosaccharide structures that occur on proteins from their experimentally determined masses. This is done by comparing the mass of the glycan to a list of pre-computed masses of glycan compositions. The program can be used with free or derivatised glycans and for glycopeptides where the peptide mass or protein is known. Compositional constraints can be applied to the output. Note: You can use GlycanMass to calculate the mass of an oligosaccharide structure from its oligosaccharide composition.

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• SciCrunch
• 14 years ago - by Anonymous

Structured vocabulary to organize cell-associated data and to place these data in clearly defined semantic relations to other biological facts. It describes cell types, their properties and origin and links this information to other existing ontologies like the Cell Ontology (CL), Foundational Model of Anatomy (FMA), Gene Ontology (GO), Mouse Anatomy and others using the top-level ontology BioTop.

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• SciCrunch
• 14 years ago - by Anonymous

Server that produces neural network predictions for GlcNAc O-glycosylation sites in Dictyostelium discoideum proteins.

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• SciCrunch
• 14 years ago - by Anonymous

Prediction tool locating potential GPI-modification sites in precursor sequences applied for large-scale protein sequence database searches. The composite prediction function (with separate parametrization for metazoan and protozoan proteins) consists of terms evaluating both amino acid type preferences at sequence positions near a supposed omega-site as well as the concordance with general physical properties encoded in multi-residue correlation within the motif sequence. The latter terms are especially successful in rejecting non-appropriate sequences from consideration. The algorithm has been validated with a self-consistency and two jack-knife tests for the learning set of fully annotated sequences from the SWISS-PROT database as well as with a newly created database big-Pi (more than 300 GPI-motif mutations extracted from original literature sources). The accuracy of predicting the effect of mutations in the GPI sequence motif was above 83 %.

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• SciCrunch
• 14 years ago - by Anonymous

Web application to search nucleotide databases using a nucleotide query. Algorithms: blastn, megablast, discontiguous megablast.

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• SciCrunch
• 14 years ago - by Anonymous

A topical portal which provides information about conditions that affect the nervous system (brain, spinal cord, nerves, and muscles), such as stroke (brain attack), Alzheimer's disease, and back pain. It is a physician developed and monitored source of neurology information for consumers. Additionally, it contains comprehensive condition and treatment information, as well as interactive tools.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 02, 2011. Notice: This domain name expired on 10/29/11 and is pending renewal or deletion PD-DOC is a portal and a database resource, hosting a database and linking to other databases and data sets of clinical and translational data. PD-DOC functions to organize and facilitate clinical and translational research in Parkinson's disease. The PD-DOC Database contains standardized data collected by user institutions on large numbers of patients with Parkinsons disease and other parkinsonian disorders. In some cases, data is obtained at a single point in time, while in others data is collected repeatedly over time. The PD-DOC Database is composed of the Core Data Set (CDS) which consists of those variables required to be gathered for each subject whose data is entered into the PD-DOC database. In 2005, working groups of Udall Center and invited experts deliberated to establish the components of each CDS section (e.g. General Clinical, Cognitive/Behavioral, Postmortem Brain Neuropathological Findings). The PD-DOC CDS was established and designed to optimize data analyses and data mining for large numbers of subjects participating in a variety of research studies. In most cases corresponding DNA samples are available form the NINDS Human Genetic Repository (at Coriell). Much of the website is publicly available for viewing. To request access to sections of the website dealing with downloading or requesting data, requesting a consultation, or submitting data or other information you will need to register. Before registering, you should read the PD-DOC Policies. Note that PD-DOC data can be used for research purposes only. Once your registration is successfully completed you will be automatically logged into the website.

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• SciCrunch
• 16 years ago - by Anonymous

An online tutorial for human neuroanatomy designed as a supplement to textbook and class learning or as a lab substitute when human specimens, slides and models are not available. HyperBrain includes thousand of images and hundreds of linked illustrated glossary terms, as well as movies, quizzes and interactive animations. Last updated 2012.

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• SciCrunch
• 14 years ago - by Anonymous

Preliminary database of neuroanatomical connectivity reports specifically for the human brain, which have been manually curated. It includes details (based on manual literature curation) of tract tracing or related connectivity studies conducted in human brain tissue. This database and user interface will be expanded and improved in the near future.

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• SciCrunch
• 14 years ago - by Anonymous

Ultrahigh resolution 3D human brain model at nearly cellular resolution of 20 micrometers, based on reconstruction of histological sections. Provides considerable neuroanatomical insight into human brain, thereby allowing extraction of microscopic data for modeling and simulation. Enables testing of hypotheses on optimal path lengths between interconnected cortical regions or on spatial organization of genetic patterning, redefining traditional neuroanatomy maps such as those of Brodmann and von Economo.

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• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 1st, 2023. Coordinate based reference space for the mapping and registration of neuroanatomical data. Users can download image volumes representing the canonical Waxholm Space (WHS) adult C57BL/6J mouse brain, which include T1-, T2*-, and T2-Weighted MR volumes (generated at the Duke Center for In-Vivo Microscopy), Nissl-stained optical histology (acquired at Drexel University), and a volume of labels. All volumes are represented at 21.5μ isotropic resolution. Datasets are provided as gzipped NIFTI files.

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• SciCrunch
• 14 years ago - by Anonymous