We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
NeuroMatic is a collection of Igor Pro functions for analyzing electrophysiological data. By allowing users to organize their data into Sets and Groups, NeuroMatic makes it relatively easy to compute transformations and statistical analyses on their data, including scaling, alignment averaging, baseline subtraction, spike detection, stationarity analysis, rise-time computations, etc. Being open source and modular designed, NeuroMatic also allows users to develop their own analysis functions that can be easily incorporated into NeuroMatic's framework. Note, if you have reached this page in search of a freeware tool for neuronal reconstructions, you are more likely to be interested in Neuromantic, a software package that sounds like NeuroMatic, but is not quite the same. Features of NeuroMatic Include * Sorting, Scaling, Averaging, Interpolation * Max / Min / Mean / Level / Rise Time / FWHM / Slope Measurements * Stability / Stationarity Analysis * Event Detection * Waveform Template Matching * Spike Raster Plots * Interspike-Interval and Peri-Stimulus Time (PST) Histograms * Compact Easy-to-Use Interface * Modular design as a basis for your own procedures * Extra space for your own buttons and controls * Import functions for Axograph and Pclamp data * Automatic macro generation for batch processing Supporting Agencies: MRC, Wellcome Trust Spike, Event, Fit, NClamp, Acquisition, spike train, EPSP, IPSP, IPSC, EPSC
An open-source software tool for accurate genotyping the human HLA genes from Illumina GA high-throughput sequencing data.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013.<BR/> The Georgia Cancer Specimen and Tissue Bank is committed to a safe and reliable supply of tissue and cell products for research purposes. Work has begun already to build the state tumor bank initiative with operating sites in several locations through the state. We are confident that our results will yield a strong program that will benefit all Georgians and contribute to significant advances in cancer research and knowledge.
Special collection of Neuromyelitis Optica (NMO) biological samples and data to foster scientific collaboration for NMO Spectrum Disease that will lead to the prevention, clinical treatment programs and a potential cure for Neuromyelitis Optica (NMO) Spectrum Disease. In this initiative, people with NMO can enroll into the repository at ACP''s collection sites located in leading neurology clinics across the US. Participants provide blood samples and information, which will in turn be used by qualified scientists whose research will contribute to the diagnosis, prevention, treatment, and/or cure of NMO. NMO subjects are primarily enrolled through the efforts of a study nurse employed by UTSW. Accelerated Cure Project (ACP), University of Texas Southwestern (UTSW), and Guthy-Jackson will work together to invite people with NMO to participate in the repository. Participants can enroll by visiting one of the ACP repository sites or by accepting an enrollment visit from the UTSW nurse.
bioPIXIE is a general system for discovery of biological networks through integration of diverse genome-wide functional data. This novel system for biological data integration and visualization, allows you to discover interaction networks and pathways in which your gene(s) (e.g. BNI1, YFL039C) of interest participate. The system is based on a Bayesian algorithm for identification of biological networks based on integrated diverse genomic data. To start using bioPIXIE, enter your genes of interest into the search box. You can use ORF names or aliases. If you enter multiple genes, they can be separated by commas or returns. Press ''submit''. bioPIXIE uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the bioPIXIE algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. As you move the mouse over genes in the network, interactions involving these genes are highlighted. If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. You may need to download the Adobe Scalable Vector Graphic (SVG) plugin to utilize the visualization tool (you will be prompted if you need it).
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023.Digital collection of images, with themes ranging from medical and social history to contemporary healthcare and biomedical science. The collection contains historical images from the Wellcome Library collections, Tibetan Buddhist paintings, ancient Sanskrit manuscripts written on palm leaves, beautifully illuminated Persian books and much more. The Biomedical Collection holds over 40 000 high-quality images from the clinical and biomedical sciences. Selected from the UK''s leading teaching hospitals and research institutions, it covers disease, surgery, general healthcare, sciences from genetics to neuroscience including the full range of imaging techniques. They are always looking for new high quality biomedical images from scientific researchers, clinical photographers and artists in any field of science or medicine. As a contributor you retain your original material and copyright, and receive commission and full credit each time your images are used. The annual Wellcome Images awards (previously known as Biomedical Images Awards) reward contributors for their outstanding work and winners are chosen by a panel of experts. The resulting public exhibitions are always extremely popular and receive widespread acclaim. All images on the Wellcome Images site are available free for use in: * private study and non-commercial research * examination papers * criticism and review, this applies only where there are no multiple copies made * theses submitted by a student at a higher or further education institution for the purposes of securing a degree * personal use by private individuals
There is a great demand for practical tools that enable scientists to understand the organization of the fields of research of interest to them. This project is an ''unofficial'' (i.e., non-supported by NIH itself) web-based system that helps researchers understand the ''funding landscape'' of a particular field through the use of statistical analysis of the language used in grant applications'' abstracts. Our system is available at https://app.nihmaps.org/, providing both a query- and mapping- based interface for funded NIH-grants from 2007-2010. From its conception, this project has been a highly collaborative team effort. The project''s main driving force has been provided by Ned Talley but has involved ideas, technical support, academic contributions and funding from multiple sources and people.
The Friedrich Miescher Institute is devoted to fundamental biomedical research aimed at understanding the basic molecular mechanisms of health and disease. We communicate and patent our findings to enable their translation into medical application. The FMI focuses on the fields of Epigenetics, Signaling & Cancer, and Neurobiology. In these fields, the FMI has gained international recognition as a center of excellence in innovative biomedical research. Training young scientists The Friedrich Miescher Institute contributes to the training of graduate students and postdoctoral fellows. Through its PhD program, which was established as early as 1970, the FMI attracts top international students. The FMI is affiliated with the University of Basel, where most of the graduate students are enrolled and where it contributes to the teaching program. Many FMI alumni have gone on to pursue successful careers in Novartis, in other pharmaceutical companies, or in academic research. Exciting environment for academic and applied research Staff at FMI benefit from a unique scientific environment, allowing researchers, specialists and students to pursue questions that yield new scientific insights. As part of the Novartis Research Foundation, the FMI receives strong core support from the foundation. Funding is supplemented by competitive fellowships and awards from national and international funding agencies. This provides an optimal environment for both academic and applied biomedical research.
THIS RESOURCE IS NO LONGER IN SERVICE, documented September 6, 2016. The Unified Library Database, or UniLib, takes a library-level view of the EST and SAGE libraries present in NCBI's dbEST, UniGene and SAGEmap resources. This database was initially developed by NCBI in order to track and annotate libraries being generated by NCI's CGAP project. The query bar of the UniLib Library browser provides the most friendly way to navigate through these libraries. When matches to the Library browser query are returned as summaries, full library records can be retrieved through the linked Record retriever.
Web-based, searchable portal of three interlinked registries, containing both in-house and crowdsourced manually curated descriptions of standards, databases and data policies, combined with integrated view across all three types of resource. By registering your resource on FAIRsharing, you gain credit for your work, increase its visibility outside of your direct domain, reduce potential for unnecessary reinvention and proliferation of standards and databases.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. A bisulfite aligner suitable for whole methylome analysis of Illumina and SOLiD reads.
A program to eliminate artifactual reads from next-generation sequencing data sets.
CFC International is a volunteer, not-for profit, self-help support group for persons and families dealing with Cardio-Facio-Cutaneous Syndrome. Incorporated in 1999 in the state of New York, its membership has grown from 21 families in mainly the USA to now include persons from all around the world. Our mission is to strive to help each other cope with the challenges of raising a child with a rare and often medically involved disorder. We act as a clearinghouse of information on all aspects of CFC Syndrome. We publish a quarterly newsletter, produce a brochure and CFC Parent''''s Guide, private address book, host a private family computer list serve and also host a website. We host International family conferences and clinics open to families from all over the globe. Our goal is to educate the general public, the medical profession, and government agencies by disseminating information on CFC Syndrome. We work to facilitate research on this very rare syndrome. We have a medical/scientific advisory board consisting of doctors from different regions of the world who have a committed interest in our CFC children. We maintain the most extensive registry for CFC Syndrome patients in the world. The Registry provides resources for the study of CFC Syndrome. It maintains centralized information records on CFC Syndrome cases from around the world. Confidentiality of personal information regarding incidence, genetics, clinical course, and prognosis is provided to professionals and families. The Registry also serves to improve communication of ideas among interested researchers, and to assure rapid distribution of any new information that may benefit patients or their families. As part of this medical registry we are founding members of the Genetic Alliance BioBank. The BioBank contains the largest collection of DNA and tissue samples from CFC patients and their parents.
A web-based tool to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner.
Venue for research resource discovery offering resource providers a platform to advertise their services and products, as well as investigators a means to locate services for their use. Search results may be refined by resource type, research area or institution.
The OvCaRe Tissue Bank is housed within the Vancouver General Hospital Department of Pathology and the British Columbia Cancer Agency. This bank contains tumour samples from over 1100 patients. The tissue samples in the bank are collected from consenting patients within 30 minutes of surgical excision and stored in a variety of forms, including snap frozen, formalin fixed, and as live cells. As of 2007, serum, plasma, and buffy coat are also being collected for every case within the tissue bank. In addition to providing research material for OvCaRe researchers, the OvCaRe Tumour Bank is more active than any other tumour bank in sending samples to research collaborators and has already contributed to 43 national and international research projects. This and other tissue banks provide the foundation for translational research in medicine. In order for these samples to be used by current technologies such as Illumina whole transcriptome sequencing, the samples must be of extremely high quality. We have currently sent a selection of our samples to The Cancer Genome Atlas Project for analysis and were told by researchers there that our samples were among the best quality that they had encountered around the world. Serum Bank The OvCaRe serum bank is located at the British Columbia Cancer Agency. This bank contains over 10,000 serum samples that have been submitted for CA-125 testing as well as samples collected from patients who have consented to have their tumours submitted to the OvCaRe Tumour Bank. Like the tumour bank, these resources are available to collaborating researchers. Ovarian Cancer Tissue Microarrays The ovarian cancer tissue microarray facility from all available early ovarian cancer cases in the province for the period 1984-2000 (541 samples) was created by Dr. Blake Gilks and is the largest tissue microarray of early ovarian cancer samples. This population based series was generated in the Genetic Pathology Evaluation Center (GPEC), a laboratory supported by a Michael Smith Foundation for Health Research Unit Grant and is being used by over 20 different local and international collaborative studies. Two other ovarian cancer tissue microarrays are also built and are available to interested collaborators. All samples in the tissue microarray are linked to clinical outcomes at the Cheryl Brown Ovarian Cancer Outcomes Unit.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. The DOMEO (Document Metadata Organizer) Annotation Tool, is an extensible web component enabling users to visually and efficiently create and share ontology-based stand-off annotation metadata on HTML or XML document targets - and soon images - , using the Annotation Ontology (AO) RDF model. The tool supports manual, fully automated, and semi-automated annotation with complete provenance records, as well as personal or community annotation with access authorization and control. DOMEO is just one of the components of a bigger architecture - The Annotation Framework - that uses Annotation Ontology (AO) as communication mechanism within the platform and with the external world. Acknowledgements Special thanks to Marco Ocana for his valuable contribution in bootstrapping the DOMEO project.
An Antibody supplier
Tool for extensively testing the discriminatory power of biologically relevant gene sets in microarray data classification. While the user can work with different gene set collections and several microarray data files to configure specific classification experiments, the tool is able to run several tests in parallel. It is able to render valuable information for diagnostic analyses and clinical management decisions based on systematically evaluating custom hypothesis over different data sets using complementary classifiers, a key aspect in clinical research.
Sequence analysis using Web Resources (SeWeR) is an integrated, Dynamic HTML (DHTML) interface to commonly used bioinformatics services available on the World Wide Web. It is highly customizable, extendable, platform neutral, completely server-independent and can be hosted as a web page as well as being used as stand-alone software running within a web browser. It doesn''t require any server to host itself. The goal of SeWeR is to turn your web-browser into a powerful sequence-analysis tool. It is written entirely in JavaScript1.2. SeWeR can be downloaded and mirrored freely. The whole package is just around 300K. You can even run it from a floppy. SeWeR is not compatible with Netscape 6. SeWeR now generates graphics. Savvy is a plasmid drawing software that generates plasmid map in the revolutionary Scalable Vector Graphics format from W3C.