We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Repository of Cre Driver lines and related information resources. Their services include analysis of Cre line excision function in both target and non-target tissues using Cre reporter lines and presenting the annotated data in the expression data portion of this website, http://cre.jax.org/data.html.
Central location for voluntary submission of genetic test information by providers including the test''s purpose, methodology, validity, evidence of the test''s usefulness, and laboratory contacts and credentials. GTR aims to advance the public health and research into the genetic basis of health and disease. GTR is accepting registration of clinical tests for Mendelian disorders, complex tests and arrays, and pharmacogenetic tests. These tests may include multiple methods and may include multiple major method categories such as biochemical, cytogenetic, and molecular tests. GTR is not currently accepting registration of tests for somatic disorders, research tests or direct-to-consumer tests.
A scalable web-based system for biological image analysis, management and exploration. The Bisque system incorporates many features useful to imaging researchers from image capture to extensible image analysis and querying. At the core, bisque maintains a flexible database of images and experimental metadata. Image analyses can be incorporated into the system and deployed on clusters and desktops. Search and comparison of datasets by image data and content is supported. Novel semantic analyses are integrated into the system allowing high level semantic queries and comparison of image content. New features and testing of Bisque version: 0.5.1, among many others are: # Parallel execution of datasets # Rich interfaces for autogenerated module UI # Abstracted storage system for local, irods, etc.. They are using Mercurial for their source control system. This should be installed before proceeding. Browse source on-line, http://biodev.ece.ucsb.edu/projects/bisquik/browser Bisque Installation, http://biodev.ece.ucsb.edu/projects/bisquik/wiki/InstallationInstructions05 Bisque DOWNLOAD, http://biodev.ece.ucsb.edu/projects/bisquik/wiki/download, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
A blast oriented interface that allows you to retrieve families of polymorphic sequences. It aims to help molecular evolutionary biologists and population geneticists in their research.
Core facility that provides the following services: Cell immortalization through retroviral or lentiviral vectors service, Microscopy training, User-based microscopy service. <BR/> <BR/>
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This course emphasizes genetic applications and approaches to drug addiction research through methodological instruction based on literature, data sets and informatics resources drawn from studies of addiction related phenotypes. The course includes plenary sessions on major progress in addiction genetics, and discussion sessions in which students present their work for discussion on applications of genetic methods. Students will leave the course able to design and interpret genetic and genomic studies of addiction as they relate to their specific research question, and will be able to make use of current bioinformatics resources to identify research resources and make use of public data sources in their own research.
Open source database for exchange and exploration of biological images. Used to store, visualize, organize and analyze images in cloud. Centered around database of images and metadata.
The NIH Chemical Genomics Center plays a role within the NIH Molecular Libraries Initiative (MLI), mandated to bring advanced technologies and expertise to researchers who lack the means to perform high-throughput screens and follow-up medicinal chemistry efforts as a means of identifying and optimizing small molecule probes of novel, unexplored cellular targets. These reagents offer the research community much-needed proof-of-concept pharmacological tools that may serve as starting points for therapeutic development into clinical agents. Results from these projects are disseminated to the scientific community through the publicly accessible PubChem database and via peer-reviewed publications. This highly collaborative program merges academic researchers'' wide-ranging expertise within the study of new biochemical targets and pathways with the translational infrastructure of NCATS. To date, NCATS scientists, in collaboration with hundreds of extramural scientists, have developed more than 60 probes that are freely accessible to the scientific community. A number of these probes are highlighted below: * Project: Activators for Human Pyruvate Kinase M2 (hPK) as Leads in Cancer Therapeutics * Project: Inhibitors of Caspase 1 for the Treatment of Numerous Autoimmune and Inflammatory Diseases * Project: Inhibitors of 12-Human Lipoxygenase (12-hLO) for the Treatment of Diabetes and Clotting * Project: Inhibitors of Cruzain as Therapeutic Leads for Chagas Disease * Project: Inhibitors of NAD+-Dependent 15-Hydroxyprostaglandin Dehydrogenase (HPGD) for the Study of Prostaglandin''s Role in Inflammation * Project: Inhibitors of Cdc2-Like Kinase 4 (Clk4) to Elucidate the Mechanism and Controlling Gene Splicing * Project: Agonists of the Thyroid Stimulating Hormone Receptor for the Treatment of Graves'' Disease * Project: Identification of Inhibitors of the N370S Mutant Form of Glucocerebrosidase as a Potential Therapy for Gaucher Disease * Project: Identification of SMN Modulators for Potential SMA Disease Therapeutics * Project: Inhibitors of Platelet Integrin IIb3 * Project: Identification of Novel Small Molecule Antagonists of the Neuropeptide-S Receptor * Project: Inhibitors of Schistosoma mansoni Redox Cascade
The NIH Chemical Genomics Center (NCGC) was created in 2008 as a Comprehensive Screening Center in the Molecular Libraries Probe Production Centers Network, part of the NIH Molecular Libraries Common Fund Program. The goals of NCGC in the NCATS Division of Pre-Clinical Innovation are to translate the discoveries of the Human Genome Project into biological and disease insights and ultimately new therapeutics for human disease through small molecule assay development, high-throughput screening, cheminformatics and chemistry. NCGC programs include Assay Development and High-Throughput Screening, Chemistry Technology and RNAi. In addition, NCGC is one of 12 centers that make up the National Cancer Institute''s Chemical Biology Consortium. These centers use the consortium''s high-throughput screening, informatics and chemistry resources to work on select cancer biology projects and move them through the therapeutics development pipeline, eventually into the clinic. Through such programs, NCGC produces a variety of pre-clinical research tools, from informatics and software tools to an assay guidance manual and more than 200 molecular probes.
A web-based publication of virtually all MIT course content for free. OCW is open and available to the world and is a permanent MIT activity. Materials include free lecture notes, exams, and videos from MIT. No registration required. MIT OpenCourseWare is a free publication of MIT course materials that reflects almost all the undergraduate and graduate subjects taught at MIT. * OCW is not an MIT education. * OCW does not grant degrees or certificates. * OCW does not provide access to MIT faculty. * Materials may not reflect entire content of the course. A site overview is available for MIT OpenCourseWare. You can also browse courses by department or use the advanced search to locate a specific course or topic. High school students and educators should check out Highlights for High School.
Resource Discovery System is a web-accessible and searchable inventory of biomedical research resources. Powered by the Resource Discovery System (RDS) that includes a standards-based informatics infrastructure * Biositemaps Information Model * Biomedical Resource Ontology Extensions * Web Services distributed web-accessible inventory framework * Biositemap Resource Editor * Resource Discovery System Source code and project documentation to be made available on an open-source basis. Contributing institutions: University of Pittsburgh, University of Michigan, Stanford University, Oregon Health & Science University, University of Texas Houston. Duke University, Emory University, University of California Davis, University of California San Diego, National Institutes of Health, Inventory Resources Working Group Members
Command-line software tools for processing biological sequencing data. Barcode demultiplexing, adapter trimming, etc. Primarily written to support an Illumina based pipeline - but should work with any FASTQs.
An interactive reference atlas providing a systematic overview of cyto- and chemoarchectonical features of the hippocampus proper, fasciola, and associated parahippocampal cortices. This atlas system has been developed to serve the need to integrate detailed descriptions of structures and criteria defining boundaries and atlas images in which the underlying histological features can be explored. Features * Alphabetical and hierarchical overview of 18 hippocampal structures * Detailed, illustrated descriptions of 63 boundaries * Interactive image repository with ~100 coronal histological images stained for NeuN, calbindin, and parvalbumin * Triple image viewer in which differently stained neighboring sections can be interactively compared * Graphical overlay of substructures based on described boundary criteria * Bidirectional links between structure descriptions and image repository The atlas is based on histological material from an adult Long Evans rat, stained for NeuN, calbindin, and parvalbumin. The system is intended for researchers working in the field, as well as students interested in this brain region. The atlas is accessed through the structure index or image viewer. Re-use of data from this repository is allowed provided that reference is given to the publication.
Starlab''s mission is to transform science into technologies with a profound and positive impact on society. We achieve this by identifying social needs and the market opportunities they create. Then we reach to science and engineering to propose or provide technical solutions, products and services for governments, industry and downstream markets. Starlab Research carries out interdisciplinary R&D focusing on two areas: Space and Applied Neuroscience. Our vision is to make science more useful, alive, vibrant, faster. Our staff consists of a team of scientists, engineers and economists from different nationalities working together to provide our clients with breakthrough technologies that create business opportunities. The growing Starlab team (now more than 28 on staff) includes 5 nationalities spanning knowledge in physics, engineering, oceanography, computer science, neuroscience and economics. Circa 50% of our staff have a PhD, and more than 80% a Master or PhD. We target technology and applications: the development of new sensors and efficient algorithms to extract information from data, identification of platforms and deployment opportunities, as well as the development of services and products. Interdisciplinarity is a key aspect of our research. Space R&D develops payloads, algorithms and mission feasibility studies. We have demonstrated experience in GNSS technologies, radar altimetry and space astronomy. Earth Observation applications include technologies such as GNSS-R, SAR and multi-spectral analysis for environmental and energy applications. We have demonstrated expertise in the development of innovative sensors and systems in both the Space and Applied Neuroscience areas, signal-processing algorithms, with a strong specialization in electrophysiology algorithms, software and hardware. It will also manage the project and prospect potential commercial impact.
A comparative genome analysis tool for detailed comparison of closely related bacterial-sized genomes. It visualizes precomputed pairwise genome alignments on both dotplot and alignment viewers. Users can add information on this alignment, such as existence of tandem repeats or interspersed repetitive sequences and changes in codon usage bias, to facilitate interpretation of the observed genomic changes. Besides visualization functionalities, it also provides a general framework to process genome-scale alignments using various existing alignment programs. CGAT employs a client-server architecture, which consists of AlignmentViewer (client; a Java application) and DataServer (a set of Perl scripts). The DataServer package contains data construction scripts and CGI scripts and the AlignmentViewer program visualizes the alignment data obtained from the server thorough the HTTP protocol.
HC2 is an EU funded project that aims to promote, support and help define future lines of research in Human Computer Confluence (HCC). HCC is the study of the intersection of HCI, Cognitive Neuroscience, VR/AR, Presence, Pervasive Computing and how they can enable new forms of sensing, perception, interaction and understanding. In a sense it is the study of the disappearing interface. HCC, Human-Computer Confluence, is an ambitious research program studying how the emerging symbiotic relation between humans and computing devices can enable radically new forms of sensing, perception, interaction, and understanding. The horizontal character of HCC makes it a fascinating and fertile interdisciplinary field, but it can also compromise its growth, with researchers scattered across disciplines and groups worldwide. To address this we are building a community of HCC researchers. There are lots of ways you can join in. Add your name to the HCC Players Map, take advantage of our Exchange Program to work with colleagues at your favorite lab, sign up for our Summer School or just follow us on Twitter and LinkedIn to see what''s happening. In order to foster interdisciplinary research and promote HCC research we have set up an Exchange Program. Students that wish to apply for financial support from our Exchange Program should follow the steps provided. The Exchange Program is open to all graduate students (Masters and PhD). A maximum of 500 Euro support will be provided per student.
Software program that provides separate results for TDT, S-TDT, and the combined (overall) test, as appropriate. (entry from Genetic Analysis Software)
Open-source software package for the analysis of neural data. Chronux routines may be employed in the analysis of both point process and continuous data, ranging from preprocessing, exploratory and confirmatory analysis. The current release is implemented as a MATLAB library. Chronux offers several routines for computing spectra and coherences for both point and continuous processes. In addition, it also offers several general purpose routines that were found useful such as a routine for extracting specified segments from data, or binning spike time data with bins of a specified size. Since the data can be continuous valued, point process times, or point processes that are binned, methods that apply to all these data types are given in routines whose names end with ''''c'''' for continuous, ''''pb'''' for binned point processes, and ''''pt'''' for point process times. Thus, mtspectrumc computes the spectrum of continuous data, mtspectrumpb computes a spectrum for binned point processes, and mtspectrumpt compute spectra for data consisting of point process times. Hybrid routines are also available and similarly named - for instance coherencycpb computes the coherency between continuous and binned point process data.