We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
A stand-alone executable software with user-friendly graphical interface implemented in Python/C++ for rare variant association studies. It is designed as a unified simulation framework to provide an unbiased and easy manner to evaluate association methods, including novel methods, under a broad range of choice of biological contexts. It consists of three modules, variant data simulator, genotype/phenotype generator and association method evaluator. SimRare generates variant data for gene regions using forward-time simulation which incorporates realistic population demographic and evolutionary scenarios. For phenotype data it is capable of generating both case-control and quantitative traits. The phenotypic effects of variants can be detrimental, protective or non-causal. SimRare has a graphical user interface which allows for easy entry of genetic and phenotypic parameters. Simulated data can be written into external files in a standard format. For novel association method implemented in R it can be imported into SimRare, which has been equipped built in functions to evaluate performance of new method and visually compare it with currently available ones in an unbiased manner.
THIS RESOURCE IS NO LONGER IS SERVICE. Documented on December 5th, 2022. Semantic framework to integrate information about research activities, clinical activities, and scientific resources to facilitate the production and consumption of Linked Open Data about investigators, physicians, biomedical research resources, services, and clinical activities. The goal is to enable software to consume data from multiple sources and allow the broadest possible representation of researchers'''' and clinicians'''' activities and research products. Current research tracking and networking systems rely largely on publications, but clinical encounters, reagents, techniques, specimens, model organisms, etc., are equally valuable for representing expertise. CTSAConnect will provide linkage between semantic representations of a wide range of clinical and research data using controlled vocabularies mapped to the Unified Medical Language System (UMLS) as a bridge between the two subject areas. The data sources include data from Medicaid, hospital billing systems, CTSAShareCenter, and other CTSA resource data, eagle-i and VIVO. It allows institutions to leverage existing tools and data sources by making the information they contain more discoverable and easier to integrate. For instance, with the ISF, researchers can be characterized by organizational affiliations, grant and project participation, research resources that they have generated, and publications that they have (co)-authored. Clinicians can be characterized by training and credentials, by clinical research topic, and by the kinds of procedures and specialization that can be inferred from encounter data. LOD refers to data that has been given a specific Uniform Resource Identifier (URI), for the purpose of sharing and linking data and information on the Semantic Web. While a large amount of data is published as LOD, there remains a significant gap in the representation of research resources and clinical expertise. Researchers can be characterized by the organization to which they belong, the grants and research in which they have participated, the research topics and research resources (reagents, biospecimens, animal models) they have generated, as well as the publications they have (co)-authored. Clinician profiles on the other hand, can be defined by their credentials, clinical research topics, and the kinds of procedures and specialization that can be inferred from clinical encounter data. They believe that integrating and relating this diversity of information sources and platforms requires addressing the overlap between research resources and the attributes and activities of researchers and clinicians. CTSAconnect aims to promote integration and discovery of research activities, resources, and clinical expertise. To this end, they will publish their ontologies and LOD via their website, which will also illustrate repeatable methods and examples of how to extract, consume, and utilize this valuable new LOD using freely available tools like VIVO, eagle-i, and Google APIs. CTSAconnect is a collaboration between Oregon Health & Science University, Stony Brook University, Cornell University, Harvard University, University at Buffalo, and the University of Florida, and leverages the work of eagle-i (eagle-i.net), VIVO (vivoweb.org), and ShareCenter (ctsasharecenter.org).
A suite of tools for simulating the 454 pyrosequencing process. It is based on the characteristics of real 454 data, and attempts to model the known aspects of the process.
Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013)
University with five campuses in the province of KwaZulu-Natal in South Africa. It was formed on 1 January 2004 after the merger between the University of Natal and the University of Durban-Westville.
The SciLogs combine the strengths of both science culture and the medium blog. They provide scientists and lay people with the opportunity to interact in interdisciplinary discussions about science in all its facets: research, applications, ethics, values, politics etc. Good Science is transparent and provides us with new knowledge about the world and ourselves. As an important part of our culture and society, science is never isolated. Informing about new results and recent developments as well as the dialogue with the public are characteristics of good science. Good blogs are personalized, authentic and active. Oftentimes, they provide unique perspectives. Blog posts are serious invitations for dialogue, readers are potential partners, invited to comment and ask the bloggers questions. The SciLogs are not a closed community. Every user is invited to comment, and new bloggers are welcome, too. Please submit your blog or blog idea to blog@scilogs.de - and we will check if we fit together.
The New York Times Well is a blog by Tara Parker-Pope on the latest medical research and societal trends affecting your health. Healthy living doesn''t happen at the doctor''s office. The road to better health is paved with the small decisions we make every day. It''s about the choices we make when we buy groceries, drive our cars and hang out with our kids. Join columnist Tara Parker-Pope as she sifts through medical research and expert opinions for practical advice to help readers take control of their health and live well every day.
Sciblogs brings together the best science bloggers in the country (New Zealand) on one website, creating a hub for scientific analysis and discussion and facilitating reader interaction. The website is for scientists who want to reach out to a general audience to explain their science and how it relates to society. Some Sciblog contributors spend most of their time in the lab or buried in research. Others are authors or entrepreneurs. All of them know what they are talking about and have an interest in engaging in discussion on the big science-related issues facing society. Over time more bloggers will be added to the Sciblogs roster. If you would like to inquire about hosting a blog on Sciblogs contact us. You can easily keep an eye on new Sciblogs posts by subscribing via RSS or email or by following our Twitter feed. Alternatively, there is a Facebook page as well as a Facebook group feel free to join in! Categories: * Science * Agriculture * Technology * Health and Medicine * Environment and Ecology * Science and Society
Read the latest science news and views from Oxford University in the Oxford Science Blog. The blog gives you the inside track on science at Oxford University: the projects, the people and what''s happening behind the scenes. Curated by Pete Wilton, science writer and OU Press Officer.
The Science Blogs section covers every science post from every large English-speaking science blog as they are published. You can click to see archives of specific bloggers or sites and view whats trending in science blogging right now. The S3.0 Blogregator is a great way to view all the blogs covering specifically ''Online Science'' as they are updated. The team of Science 3.0 bloggers who blog predominantly about ''Science Online'' and ''Open Access'' are also available. You can start your own blog on the site which we will help you set up free of charge.
Science 3.0 is a community for the advancement of online science. Science 3.0 is constantly trying to use and develop web 2.0 tools to make online science more efficient. Community projects include FigShare, COASPedia, ScienceSeeker, and Science 3.0 Open Data. Science 3.0 combines the hypothesis based inquiry of laboratory science with the methods of social science research to understand and improve the use of new human networks made possible by today''s digital connectivity. This website is a community where those interested in the advancement of research can share ideas, tools and build connections. This website is designed to be a neutral, impartial community where people can discuss the pros and cons of each application so that they can be developed in the most efficient manner. The site is not designed to be a place where all science researchers from all disciplines meet and share results. The site is for those who wish to develop science online, or have an interest in science online. We do not have the answers to all of the problems associated with open access and bringing science to the masses. We are the place where like minded people can collaborate to generate these answers.
Hi. I''m genegeek (aka Catherine Anderson). I realized during my PostDoc that I preferred learning and explaining new results to doing science so I started a non-traditional career of teaching and outreach. I''ll be using this space to explore public perception of genetics and other cool molecular biology stuff. I hope to add to the great discussions re: new science discoveries and general understanding of genetics. I''ve been running an outreach program and enjoy talking to non-experts about their opinions and understanding. I hope my enthusiasm for the topics can come through the screen. My posts are presented as opinion and commentary and do not represent the views of LabSpaces Productions, LLC, my employer, or my educational institution.
University of Eastern Finland was formed through merger of two formerly independent universities, the University of Joensuu and the University of Kuopio.Public University of Eastern Finland Kuopio Campus is located in the Savilahti area.
Software designed to identify and quantify isoforms from RNA-seq by incorporating a sparsity term into expression level estimation to enable isoform structure prediction and expression estimation simultaneously.
A software tool to call variants in genetically heterogeneous populations from ultra-deep sequence data. It combines information regarding the covariation (i.e. phasing) between observed variants to increase sensitivity and an expectation maximization algorithm that iteratively recalibrates base quality scores to increase specificity. V-Phaser can reliably detect rare variants in diverse populations that occur at frequencies of <1%. V-Phaser 2 is a complete rewrite of the original V-Phaser. It contains a new model for length polymorphisms (indels) and incorporates paired end read information in its phasing model. The data access and probability computation sections of the code have also been highly optimized, resulting in substantial improvements in running time and memory usage.
A software package that allows for inference about the structure of a population from a set of short sequence reads as obtained from ultra-deep sequencing of a mixed sample. The package contains programs that support mapping of reads to a reference genome, correcting sequencing errors by locally clustering reads in small windows of the alignment, reconstructing a minimal set of global haplotypes that explain the reads, and estimating the frequencies of the inferred haplotypes.
An award-winning multimedia science and environment series created by KQED, San Francisco, the public media station serving Northern California. Launched in February 2007, by the end of its fourth season (in September 2010), QUEST had reached approximately 36 million viewers and listeners through its traditional TV and radio broadcasts and its growing Web audience. QUEST''s ultimate aim is to raise science literacy in the San Francisco Bay Area and beyond, inspiring audiences to discover and explore science and environment issues for themselves. Every season, KQED''s QUEST produces: * half-hour television episodes episodes that air weekly, exploring the cutting-edge work of Northern California scientists and researchers (QUEST airs Wednesdays 7:30pm on KQED Public Television 9); * weekly radio reports covering urban environmental issues which often include multimedia slide shows, and interactive online maps (QUEST airs Mondays 6:30am and 8:30am on KQED Public Radio 88.5 FM); * Educational resources, for use by formal and informal educators; QUEST also provides professional development for science educators to support multimedia and technology integration in science classrooms and programs; * 20 six-minute stories for its new web only series, Science on the SPOT, which takes a fresh, fast and curious look at science with stories about albino redwoods, the science of fog and banana slugs, to name a few. (launched in 2010); * A daily science blog written by Northern California scientists, QUEST producers and science enthusiasts; * Exclusive web extras, featuring extended interviews with scientists; Flickr photos, and science hikes. Formal and informal Educators who would like to become involved withthe educational outreach program should contact: ScienceEd (at) kqed.org.
A software program for viral quasispecies reconstruction, specifically developed to analyze long read (>100 bp) next-generation sequencing (NGS) data. The software performs alignments of sequence fragments against a reference genome, finds an optimal division of the genome into sliding windows based on coverage and diversity and attempts to reconstruct all the individual sequences of the viral quasispecies--along with their prevalence--using a heuristic algorithm, which matches multinomial distributions of distinct viral variants overlapping across the genome division. QuRe comes with a built-in Poisson error correction method and a post-reconstruction probabilistic clustering, both parameterized on given error rates in homopolymeric and non-homopolymeric regions.
THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Science news and technology updates from Scientific American.
Software for reconstructing haplotypes from next-generation sequencing data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.