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The National Center for Biomedical Ontology is a consortium of leading biologists, clinicians, informaticians, and ontologists who develop innovative technology and methods allowing scientists to create, disseminate, and manage biomedical information and knowledge in machine-processable form. Our visionis that all biomedical knowledge and data are disseminated on the Internet using principled ontologies, such that they are semantically interoperable and useful for improving biomedical science and clinical care. Our resources include the Open Biomedical Ontologies (OBO) library, the Open Biomedical Data (OBD) repositories, and tools for accessing and using this information in research. The Center collaborates with biomedical researchers conducting Driving Biological Projects to enable outside research and stimulate technology development in the Center. The Center undertakes outreach and educational activities (Biomedical Informatics Program) to train future researchers to use biomedical ontologies and related tools with the goal of enhancing scientific discovery.

The advent of the World Wide Web has led to an explosion in the number of diverse resources available to neuroscientists. Despite the availability of powerful search engines, locating these diverse resources has become increasingly difficult and time consuming. The NIF project utilizes both advanced machine-based search technologies and old-fashioned human legwork to provide access to neuroscience-relevant resources on the Web. Resources include research materials, Web pages, software tools, data sets, literature and general information. The NIF has developed technologies that allow a user to search across these different types of resources, all from a single interface. A unique feature of the NIF is the ability to issue direct queries against multiple databases simultaneously, retrieving content that is largely hidden from traditional search engines. A second unique feature is an extensive vocabulary covering major neuroscience domains for describing and searching these resources. The NIF takes advantage of advances in knowledge engineering to broaden and refine searches based on related concepts. The NIF beta test site was developed to gain feedback on the NIF search interface and content. Users will be asked to search the NIF, explore the vocabularies, and answer a questionnaire about their experience.

FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short-read sequencing technology

We build here a repository of assembled transcript sequences from the contigation (Expressed Sequence Tag (known as EST) & mRNA) in order to discover new genes from already existing data. Publicly available EST & mRNA sequences are clusterised and then contigated with specific bioinformatic tools (see technology).

What is WebcamStudio? Your own TV studio in your computer for broadcasting thru a virtual webcam. Mix multiple video source as webcams, movies, images, your desktop and log in your prefered video streaming site like Stikam or BlogTV and start your own show or video blog with: - Cool Special Effects - Text overlay - Video Source transition/rotation/movement... - Animations and Faces! - A webcam at your own image See the features! Why for GNU/Linux? Because there are no solution for Linux and Windows users already have acces to this kind of software. And mostly because I use a lot of Linux technologies that are not available under Microsoft Windows. (Sorry guys!) Based on... * Gstreamer libraries and plugins * gstreamer-java libraries * Java 6 (from Sun)

The presentation provides an overview of some of the challenges the publishers face moving forward, how they are responding to it, how InChI is an enabling technology, how quality is important.

This package contains code for use with Short Read DNA Sequencing technologies, and includes packages for ChIP-Seq, Whole Transcriptome Shotgun Sequencing, Whole Genome Shotgun Sequencing, SNP Detection, Transcript expression and file conversion.

The Network for Open Scientific Innovation is founded upon the belief, no, the unshakeable certainty, that creativity, love, and intelligence can solve any problem. Recent years have seen technological revolutions in informatics, communications, and the life sciences. Sadly, this rapid progress has not been matched by a revolution in the democratization of scientific problem solving.

SWAN (Semantic Web Applications in Neuromedicine) is a Web-based collaborative program that aims to organize and annotate scientific knowledge about Alzheimer disease (AD) and other neurodegenerative disorders. Its goal is to facilitate the formation, development and testing of hypotheses about the disease. The ultimate goal of this project is to create tools and resources to manage the evolving universe of data and information about AD in such a way that researchers can easily comprehend their larger context ("what hypothesis does this support or contradict?"), compare and contrast hypotheses ("where do these two hypotheses agree and disagree?"), identify unanswered questions and synthesize concepts and data into ever more comprehensive and useful hypotheses and treatment targets for this disease. The SWAN project is designed to allow the community of AD researchers to author, curate and connect a diversity of data and ideas about AD via secure personal and public SWAN workspaces, using the emerging Semantic Web paradigm for deep interconnection of data, information and knowledge. We are initially focusing on developing a fully public Web resource deployed as part of the Alzheimer Research Forum web site (www.alzforum.org). After the public resource has been launched, we will also develop secure personal workspaces (MySWAN) and semi-private lab workspaces (LabSWAN). An essential component of this project is development of an initial, core knowledge base within SWAN, which will provide immediate value to researchers at the time of deployment. This is a critically important part of our strategy to ensure that the SWAN system gains wide adoption and active participation by the AD research community. As part of our development strategy, we are also recruiting a "beta test" community of AD researchers to enter their own hypotheses, add commentaries and citations, and provide feedback on the technology and content. SWAN is being developed by a collaborative team from

A site about the engineer's from Moldova, Leonid Popusoi's, inventions and discoveries in astronomy and physics. \nIt contains descriptions of his inventions, books and videos.