Curator Dashboard

Software program providing a method for meta-analysis of case-control genetic association studies using random-effects logistic regression.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

A biomedical ontology in the area of vaccine adverse events aimed to represent and analyze various vaccine-specific adverse events. OVAE is an extension of the Ontology of Adverse Events (OAE) and the Vaccine Ontology (VO).

• Resource
• SciCrunch
• 13 years ago - by Anonymous

A distributed file storage system that you can upload files to and download files from. All files uploaded to the repository are replicated several times to protect against their accidental loss. Files uploaded to the repository can be of any size, can be of any file type, and can be encrypted with a passphrase of your choosing. The Proteome Commons Tranche repository is the first instance of a Tranche repository. Tranche, was created so that anybody can take it and make their own Tranche repository. This is the first implementation of the Tranche software, and is useful as a test bed for the software. This repository relies on educational institutions to provide the hardware and facilities for Tranche servers. While we maintain a set of servers, the continued growth of this public resource will rely on the generosity of the institutions that use the repository most.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Public research university in Sha Tin, New Territories, Hong Kong.

• Organization
• SciCrunch
• 16 years ago - submitted by Stephen Larson

An ontology covering the domain of social entities that are related to health care, such as demographic information (social entities for recording gender (but not sex) and marital status, for example) and the roles of various individuals and organizations (patient, hospital, etc.)

• Resource
• SciCrunch
• 13 years ago - by Anonymous

A virtual biospecimen registry designed to support and facilitate basic science, clinical, and translational research that will advance understanding of mesothelioma pathophysiology with the goal of expediting the discovery of preventive measures, novel therapeutic interventions, and ultimately, cures for mesothelioma. The NMVB resource is designed to provide mesothelioma tissue samples with high-quality and well-characterized multimodal annotated data to researchers. The NMVB team strongly believes that progress in translational and clinical research - in cancer as well as other disease areas - depends on the ability of researchers to access high-quality tissue that is associated with meaningful annotation. MVB database version 3.0 has been released that provides researchers real-time access to demographic, epidemiologic, pathologic, genotype, and follow-up data associated with biospecimens at no cost. Researchers interested in utilizing NMVB samples for their research may submit an application. All researchers (academic or commercial, United States or foreign) may apply for NMVB tissue specimens. NMVB currently has 966 annotated cases and 1198 biospecimens including: * Paraffin Embedded Tissue * Fresh Frozen Tissue * Blood and DNA Samples The NMVB also has developed mesothelioma tissue microarrays (TMAs) with associated multimodal data annotation. Additional TMAs will be available shortly.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

MIT's Department of Brain and Cognitive Sciences stands at the nexus of neuroscience, biology and psychology. We combine these disciplines to study specific aspects of the brain and mind including: vision, movement systems, learning and memory, neural and cognitive development, language and reasoning. Together, MIT's Department of Brain and Cognitive Sciences offers extraordinary learning opportunities for undergraduate, graduate and postdoctoral students. Because the human brain is immensely complex in many different ways at once, we pursue every level of inquiry - from molecules to cells to circuits to the mystery of the mind itself. As we study its diseases and disorders, its development and daily feats, like vision, speech, movement and memory, we also integrate methods and insights from every area of brain research. This unusual diversity of expertise fosters an intensely creative atmosphere that sparks startling collaborations. Already known for remarkable contributions to the field, our faculty members continually stretch the limits of knowledge, and bring the same passion to educating our exceptional students. A key part of the BCS mission is to offer its graduate and undergraduate students an educational experience of the highest quality. Our graduate students benefit from the impressive range of our program, and from the ability to participate in research projects with faculty members who are leaders in their fields. The department's undergraduate program, which includes both neuroscience and cognitive science, is one of the fastest-growing majors at MIT.

• Resource
• SciCrunch
• 16 years ago - by Anonymous

A database and annotation tool that provides a simple mechanism to allow scientists to add to the functional annotation of genes described in Gene. To be processed, a valid Gene ID must exist for the specific gene, or the Gene staff must have assigned an overall Gene ID to the species. The latter case is implemented via records in Gene with the symbol NEWENTRY.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Software R package for simplfiying common tasks in genomic feature analysis. Toolkit to summarize, annotate and visualize genomic intervals. Provides functions for reading BED and GFF files as GRanges objects, summarizing genomic features over predefined windows so users can make average enrichment of features over defined regions or produce heatmaps. Can annotate given regions with other genomic features such as exons,introns and promoters.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

SAGA (Substructure Index-based Approximate Graph Alignment) is a tool for querying a biological graph database to retrieve matches between subgraphs of molecular interactions and biological networks. SAGA implements an efficient approximate subgraph matching algorithm that can be used for a variety of biological graph matching problems such as the pathway matching SAGA uses to compare pathways in KEGG and Reactome. You can also use SAGA to find matches in literature databases that have been parsed into semantic graphs. In this use of SAGA, portions of PubMed have been parsed into graphs that have nodes representing gene names. A link is drawn between two genes if they are discussed in the same sentence (indicating there is potential association between the two genes). SAGA lets you match graphs between different databases even though the content is distinct and the databases organize pathways in different ways. This cross-database matching is achieved by SAGA's flexible approximate subgraph matching model that computes graph similarity, and allows for node gaps, node mismatches, and graph structural differences. Comparing pathways from different databases can be a useful precursor to pathway data integration. SAGA is very efficient for querying relatively small graphs, but becomes prohibitory expensive for querying large graphs. Large graph data sets are common in many emerging database applications, and most notably in large-scale scientific applications. To fully exploit the wealth of information encoded in graphs, effective and efficient graph matching tools are critical. Due to the noisy and incomplete nature of real graph datasets, approximate, rather than exact, graph matching is required. Furthermore, many modern applications need to query large graphs, each of which has hundreds to thousands of nodes and edges. TALE is an approximate subgraph matching tool for matching graph queries with a large number of nodes and edges. TALE employs a novel indexing technique that achieves a high pruning power and scales linearly with the database size.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Matches a list of microarray probes across different microrarray platforms (GeneChip, EST from different vendors, Operon Oligos) and species (human, mouse and rat), based on NCBI UniGene and HomoloGene. The capability to match protein sequence IDs has just been added to facilitate proteomic studies. The ProbeMatchDB is mainly used for the design of verification experiments or comparing the microarray results from different platforms. It can be used for finding equivalent EST clones in the Research Genetics sequence verified clone set based on results from Affymetirx GeneChips. It will also help to identify probes representing orthologous genes across human, mouse and rat on different microarray platforms.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

For selected articles and letters Nature presents streaming videos featuring interviews with scientists behind the research and analysis from Nature editors. To view the videos you will need the free Flash browser plugin. You can also visit the Nature Video YouTube channel which enables you to easily embed and share our videos through websites, mobile devices, blogs and email.

• Resource
• SciCrunch
• 15 years ago - by Anonymous

Database that provides experimentally determined thermodynamic interaction data between proteins and nucleic acids. It contains the properties of the interacting protein and nucleic acid, bibliographic information and several thermodynamic parameters such as the binding constants, changes in free energy, enthalpy and heat capacity.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Software repository for comparing structural (MRI) and functional neuroimaging (fMRI, PET, EEG, MEG) software tools and resources. NITRC collects and points to standardized information about structural or functional neuroimaging tool or resource.

• Resource
• SciCrunch
• 15 years ago - by Anonymous

Software for meta-analysis of genome-wide SNP association results.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Biomedical ontology in the domain of adverse events that aims to standardize adverse event annotation, integrate various adverse event data, and support computer-assisted reasoning. AEO is a community-based ontology. Its development follows the OBO Foundry principles.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

A reference ontology that models the life cycle stage details of various parasites, including Trypanosoma sp., Leishmania major, and Plasmodium sp., etc. In addition to life cycle stages, the ontology also models necessary contextual details, such as host information, vector information, and anatomical location. OPL is based on the Basic Formal Ontology (BFO) and follows the rules set by the OBO Foundry consortium.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

• Organization
• SciCrunch
• 17 years ago - submitted by Andrea Stagg

A web based social authoring and publishing environment that adheres to open standards and RESTful design principals. It provides wiki-like ease of use with a sophisticated web services framework for rapid application development, creating flexible workflows and rapid integration. MindTouch creates a vibrant real-time information fabric by federating content from across enterprise silos, such as CRM, ERP, file servers, email, databases, web services and more.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

The Cytoscape MiMI Plugin is an open source interactive visualization tool that you can use for analyzing protein interactions and their biological effects. The Cytoscape MiMI Plugin couples Cytoscape, a widely used software tool for analyzing bimolecular networks, with the MiMI database, a database that uses an intelligent deep-merging approach to integrate data from multiple well-known protein interaction databases. The MiMI database has data on 119,880 molecules, 330,153 interactions, and 579 complexes. By querying the MiMI database through Cytoscape you can access the integrated molecular data assembled in MiMI and retrieve interactive graphics that display protein interactions and details on related attributes and biological concepts. You can interact with the visualization by expanding networks to the next nearest neighbors and zooming and panning to relationships of interest. You also can perceptually encode nodes and links to show additional attributes through color, size and the visual cues. You can edit networks, link out to other resources and tools, and access information associated with interactions that has been mined and summarized from the research literature information through a biology natural language processing database (BioNLP) and a multi-document summarization system, MEAD. Additionally, you can choose sub-networks of interest and use SAGA, a graph matching tool, to match these sub-networks to biological pathways.

• Resource
• SciCrunch
• 17 years ago - by Anonymous