We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
An enzyme developer and provider of biochemical and consultancy services. Its consultancy services include organizing proof of concepts and planning startup companies, laboratories, and analytical methods. The company also offers writing and editing services for scientific and grant proposals, as well as technology assessments. The company is located in central Israel; however, all of their services are offered worldwide.
Project Halo is a staged, long-range research effort by Vulcan Inc. towards the development of a Digital Aristotlea reasoning system capable of answering novel questions and solving advanced problems in a broad range of scientific disciplines and related human affairs. The project focuses on creating two primary functions: a tutor capable of instructing and assessing students in those subjects, and a research assistant with broad, interdisciplinary skills to help scientists and others in their work. Vulcan began work towards this ambitious vision in 2003 with the Halo Pilot a six-month effort to investigate the feasibility of creating a scientific knowledge base capable of answering novel questions from the AP (1st year college level) chemistry test. Three teams SRI International, Cycorp, and Ontoprise developed knowledge bases, for a limited section of an AP-chemistry syllabus, that were able to correctly answer 40 to 50 percent of the associated questions from the AP test. Since 2004, Project Halo has worked to improve these systems, with an emphasis on enabling knowledge entry by domain experts, instead of specialists in artificial intelligence software. In 2004, Vulcan began the development of Automated User-Centered Reasoning and Acquisition System (AURA), by SRI, that enables domain experts (graduate students in Biology, Chemistry, and Physics) to enter knowledge from introductory science textbooks. In 2006, an evaluation of AURA showed that students could create AURA knowledge bases that correctly answered 40 percent of the questions on a limited AP exam. In 2008, the next evaluation demonstrated an improvement of that score to 70 percent correct. In parallel, Project Halo has sponsored Ontoprise to develop semantic extensions to MediaWiki, the software that Wikipedia runs on. Ontoprise has developed a set of Semantic MediaWiki (SMW)+ extensions to MediaWiki that provide a community-based environment for authoring ontologies and creating semantically enhanced wikis. SMW+ has been widely used and is being applied in project management, enterprise collaboration and knowledge management, business intelligence, and the management of large terminology sets. In 2007, Vulcan began a new effort, Halo Advanced Research (HalAR), to address the difficult knowledge representation and reasoning (KR) challenges that prevent the realization of Digital Aristotle. This effort has produced a new semantic rule language and reasoning system, Semantic Inferencing on Large Knowledge (SILK), which includes major advances, including for default and higher-order reasoning over the web.
Voluntary, non-governmental, non-profit pharmacologist association promoting international cooperation, sponsoring international and regional activities, encouraging free exchange of scientists and ideas, developing public awareness, establishing advisory committees. Has official relations with the World Health Organization (WHO). Helps pharmacologists to participate with other branches of science in international activities, either directly or under ICSU, WHO and UNESCO. Member of the International Council for Science (ICSU) and participates in the work of its scientific committees. Has its own publishing program. Pharmacology International, is published every June and December. Member Directory is maintained continually, as an online resource. Provides IUPHAR Receptor Database, major on-line repository of characterization data for receptors and drugs, and the IUPHAR Ion Channels Database. Official Reports from The IUPHAR Committee on Receptor Nomenclature and Drug Classification are published in Pharmacological Reviews. IUPHAR World Congresses of Pharmacology are held every few years.
An ontology covering the anatomy of Porifera (sponges).
Collect, store, and distribute genetic samples from cases and controls of type 1 diabetes and diabetic nephropathy for investigator-driven research into the genetic basis of diabetic nephropathy. As the risk of kidney complications in type 1 diabetes appears to have a considerable genetic component, this study assembled a large data resource for researchers attempting to identify causative genetic variants. The types of data collected allowed traditional case-control testing, a rapid and often powerful approach, and family-based analysis, a robust approach that is not influenced by population substructure. To identify genes that are involved in diabetic nephropathy, a large number of individuals with type 1 diabetes were screened to identify two subsets, one with clear-cut kidney disease and another with normal renal status despite long-term diabetes. Those who met additional entry criteria and consented to participate were enrolled. When possible, both parents also were enrolled to form family trios. As of November 2005, GoKinD included 3075 participants who comprise 671 case singletons, 623 control singletons, 272 case trios, and 323 control trios. Interested investigators may request the DNA collection and corresponding clinical data for GoKinD participants. Participating scientists will have access to three data sets, each with distinct advantages. The set of 1294 singletons has adequate power to detect a wide range of genetic effects, even those of modest size. The set of case trios, which has adequate power to detect effects of moderate size, is not susceptible to false-positive results because of population substructure. The set of control trios is critical for excluding certain false-positive results that can occur in case trios and may be particularly useful for testing gene-environment interactions. Integration of the evidence from these three components into a single, unified analysis presents a challenge. This overview of the GoKinD study examines in detail the power of each study component and discusses analytic challenges that investigators will face in using this resource. Half of the samples were collected at the Joslin Diabetes Center and the other half were collected from around the country by researchers at The George Washington University. DNA samples were processed by scientists at the University of Minnesota and stored at the U.S. Centers for Disease Control and Prevention. Stored samples were available to the research community through a mechanism that has been determined by JDF. Clinical characteristics of patients, which are stored in a central database, are also made available to participating scientists. A similar collection is being carried out in the United Kingdom. This data resource allows researchers to test hypotheses that might explain why diabetic kidney disease clusters in families. This resource also is suitable for studying other complications and type 1 diabetes itself. For example, a total of 1,110 diabetes case trios was available at the end of three years.)
A generic format for DNA sequence data. The primary motivation for creating SRF has been to enable a single format capable of storing data generated by any DNA sequencing technology.
Software package for assembling single cell genomes and mini metagenomes. Uses short read sets as input. Used for genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. Works with Illumina or IonTorrent reads and can provide hybrid assemblies using PacBio, Oxford Nanopore and Sanger reads. Intended for small genomes like bacterial or fungal.
A website that provides links to many neuroscience resources on the web as well as links to university neuroscience and neurobiology program home-pages.
A software application designed to analyze variant call files from next generation sequencing data to identify variants causing disease.
An algorithm used to predict and analyse binding modes of docking molecules. Users can search ligand databases for compounds that inhibit enzymatic activity and bind to particular molecules and nucleic acid targets. Molecular docking is used to predict a predominant binding mode(s) of a ligand in three-dimensional structure. This method can be used for molecular biology and computer-assisted drug design.
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Adapted from the American Urology Association Symptom Score for Benign Prostatic Hyperplasia, this chart will assist physicians, researchers, and patients in assessing the severity of the problem.
A web service that is used by researchers and scientists to perform protein-ligand covalent docking. This form allows for the formation of covalent linkages between the ligand and the receptor.
A repository which provides specimen acquisition, processing and storage services, and access to archived frozen tissue specimens to the BWH/MGH/DFCI research community.
Software that allows user to do faceted search on an ontology and enables visualization of the search results on the 3D digital atlas. Currently supports faceted search of functional neuroanatomy.
Software application aiming at identifying haplotype blocks. The likelihood of the data is calculated minus the model complexity. The resulting blocks have very low diversity and the linkage disequilibrium with SNP's outside the blocks is low. (entry from Genetic Analysis Software)
Body Mass Index (BMI) for adults can be calculated using only height and weight. Body mass index (BMI) is a measure of body fat based on height and weight that applies to adult men and women.
Open source pipeline for metagenomic data analysis, which enables efficient and parallel analysis of multiple metagenomic datasets and visualization of results for multiple samples. Can perform rapid data mining among microbial community data for comparative taxonomic and functional analysis.
Software to access the ArrayExpress Repository at EBI and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A metagenomic open reading frame (ORF) finding tool for the prediction of protein coding genes in short, environmental DNA sequences with unknown phylogenetic origin. The resource is based on a two-stage machine learning approach that uses linear discriminants to extract features from the ORFs. An artificial neural network then combines the features and computes a gene probability for each ORF fragment.
Software package that helps with the assessment and correction of RNA degradation effects in Affymetrix 3' expression arrays. The parameter d gives a robust and accurate measure of RNA integrity. The correction removes the probe positional bias, and thus improves comparability of samples that are affected by RNA degradation.