We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 21, 2017.<br/><br/>Repository for sharing of neuroscience data, text, images, sounds, movies, models and simulations.
Ontology-based knowledgebase for synaptic genes. These genes encode components of the synapse including neurotransmitters and their receptors, adhesion / cytoskeletal proteins, scaffold proteins, transporters, and others. It integrates various and complex data sources for synaptic genes and proteins.
A comprehensive software toolkit for post-processing, visualization and advanced analysis of GWAS results.
Calibration data set of spoiled gradient-recalled echo magnetic resonance imaging data from five healthy volunteers (four males and one female) scanned twice at four sites having 1.5T systems from different vendors (Siemens, GE, Marconi Medical Systems) pooled by the Morphometry Testbed's (MBIRN). Some subjects were also scanned a single time at another site. One subject was only scanned twice at three sites (subject 73213384) and once at another site. For each subject, four Fast Low-Angle Shot (FLASH) scans with flip angles of 3, 5, 20, and 30 degrees were obtained in a single scan session, from which tissue proton density and T1 maps can be derived. These data were acquired to investigate various metrics of within-site and across-site reproducibility. The images have been defaced so that no facial features can be reconstructed from these data. The Morphometry Testbed (MBIRN) of the Biomedical Informatics Research Network (BIRN) focused on pooling and analyzing of neuroimaging data acquired at multiple sites. Specific applications include potential relationships between anatomical differences and specific memory dysfunctions, such as Alzheimer's disease. With the completion of the initial BIRN testbed phase, each of the original BIRN testbeds have now been retired in order to focus on new users in other biomedical domains.
A software for differential gene expression analysis based on the negative binomial distribution. It estimates variance-mean dependence in count data from high-throughput sequencing assays and tests for differential expression.
A public research university with 10 programs in disciplines of science, social science and humanities. The institution has technical programs in civil, mechanical, industrial and electrical engineering.
A medical school which offers degrees in medicine, in addition to medical science, biomedical engineering, physician assistant studies and an interdisciplinary program in biomedical sciences.
Software to identify genes targeted by somatic copy-number alterations (SCNAs) that drive cancer growth. By separating SCNA profiles into underlying arm-level and focal alterations, they improve the estimation of background rates for each category.
A Louisiana-based university with programs in dentistry, medicine, public health, patient care and allied health professions. This university Includes a graduate program in fields including neuroscience, pharmacology, and genetics.
A department within the University of Washington which focuses on both undergraduate and postgraduate education in biochemistry.
Database and integrated tools to improve annotation of the bovine genome and to integrate the genome sequence with other genomics data.
GenNav searches GO terms and annotated gene products, and provides a graphical display of a term's position in the GO DAG. Platform: Online tool
Software that establishes a bridge between GEO and BioConductor.
Public research university in Gainesville, Florida, United States. Member of state university system of Florida with undergraduate and graduate programs in arts and sciences.
A division of the University of Texas that is dedicated to medical education.
A collection of laboratories hosted through the University of Maryland. These laboratories include: the BioAnalytical Service Laboratory, Biotechnology Research and Education Program, and the Sequencing Core.
Java-based software platform designed for the implementation, distribution and application of classifiers and methods for regression analyses for all kinds of data. Unfortunately, technical issues and some pecularities of fMRI data prevented the import and classification of neuroimaging data in this software. A tool for the integration of fMRI data in WEKA is presented, and thereby provide a way to access a broad collection of recent analysis tools for data classification.
Software that allows you to screen a library of sequences in FastQ format against a set of sequence databases so you can see if the composition of the library matches with what you expect.
A genomics and proteomics company that offers customizable oligonucleotide and peptide microarray products for nucleic acid and protein-profiling, biomarker-screening, drug screening, and development of diagnostic-devices.
Sage Bionetworks, Mount Sinai School of Medicine (MSSM), University of Pennsylvania (Penn), the National Institute of Mental Health (NIMH), and Takeda Pharmaceuticals Company Limited (TAKEDA) have launched a Public-Private Pre-Competitive Consortium, the CommonMind Consortium, to generate and analyze large-scale genomic data from human subjects with neuropsychiatric disease and to make this data and the associated analytical results broadly available to the public. This collaboration brings together disease area expertise, large scale and well curated brain sample collections, and data management and analysis expertise from the respective institutions. As many as 450 million people worldwide are believed to be living with a mental or behavioral disorder: schizophrenia and bipolar disorder are two of the top six leading causes of years lived with disability according to the World Health Organization. The burden on the individual as well as on society is significant with estimates for the health care costs for these individuals as high as four percent GNP. This highlights a grave need for new therapies to alleviate this suffering. Researchers from MSSM including Dr. Pamela Sklar, Dr. Joseph Buxbaum and Dr. Eric Schadt will join with Dr. Raquel Gur and Dr. Chang-Gyu Hahn from Penn to combine their extensive brain bank collections for the generation of whole genome scale RNA and DNA sequence data. Dr.Pamela Sklar, Professor of Psychiatry and Neuroscience at MSSM commented this is an exciting opportunity for us to use the newest genomic methods to really expand our understanding of the molecular underpinnings of neuropsychiatric disease, while Dr Raquel Gur, Professor of Psychiatry from Penn observed this will be a great complement to some of the large-scale genetic analyses that have been carried out to date because it will give a more complete mechanistic picture. The CommonMind Consortium is committed to generating an open resource for the community and invites others with common goals to contact us at info (at) CommonMind.org.