We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Gene structure annotation and analysis tool that uses spliced alignments of expressed transcript sequences to automatically model gene structures. It also incorporates gene structures based on transcript alignments into existing gene structure annotations. It is one component of a larger eukayotic annotation pipeline implemented at the Broad Institute.
Software tool that identifies interacting residues from sequence alone. Developed using transient protein�protein interfaces from complexes of experimentally known 3D structures.
International clinical research consortium dedicated to the clinical evaluation of novel tolerogenic approaches for the treatment of autoimmune diseases, asthma and allergic diseases, and the prevention of graft rejection. They aim to advance the clinical application of immune tolerance by performing high quality clinical trials of emerging therapeutics integrated with mechanism-based research. In particular, they aim to: * Establish new tolerance therapeutics * Develop a better understanding of the mechanisms of immune function and disease pathogenesis * Identify new biomarkers of tolerance and disease Their goals are to identify and develop treatment game changers for tolerance modulating therapies for the treatment of immune mediated diseases and disabling conditions, and to conduct high quality, innovative clinical trials and mechanistic studies not likely to be funded by other sources or to be conducted by private industry that advance our understanding of immunological disorders. In the Immune Tolerance Network's (ITN) unique hybrid academic/industry model, the areas of academia, government and industry are integral to planning and conducting clinical studies. They develop and fund clinical trials and mechanistic studies in partnership. Their development model is a unique, interactive process. It capitalizes on their wide-ranging, multidisciplinary expertise provided by an advisory board of highly respected faculty from institutions worldwide. This model gives investigators special insight into developing high quality research studies. The ITN is comprised of leading scientific and medical faculty from more than 50 institutions in nine countries worldwide and employs over 80 full-time staff at the University of California San Francisco (UCSF), Bethesda, Maryland and Benaroya Research Institute in Seattle, Washington.
Software application that plots measures of pairwise linkage disequilibria for SNPs (entry from Genetic Analysis Software)
Software Python command-line tool for demultiplexing Oxford Nanopore reads from FASTQ files.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 02, 2011. Notice: This domain name expired on 10/29/11 and is pending renewal or deletion PD-DOC is a portal and a database resource, hosting a database and linking to other databases and data sets of clinical and translational data. PD-DOC functions to organize and facilitate clinical and translational research in Parkinson's disease. The PD-DOC Database contains standardized data collected by user institutions on large numbers of patients with Parkinsons disease and other parkinsonian disorders. In some cases, data is obtained at a single point in time, while in others data is collected repeatedly over time. The PD-DOC Database is composed of the Core Data Set (CDS) which consists of those variables required to be gathered for each subject whose data is entered into the PD-DOC database. In 2005, working groups of Udall Center and invited experts deliberated to establish the components of each CDS section (e.g. General Clinical, Cognitive/Behavioral, Postmortem Brain Neuropathological Findings). The PD-DOC CDS was established and designed to optimize data analyses and data mining for large numbers of subjects participating in a variety of research studies. In most cases corresponding DNA samples are available form the NINDS Human Genetic Repository (at Coriell). Much of the website is publicly available for viewing. To request access to sections of the website dealing with downloading or requesting data, requesting a consultation, or submitting data or other information you will need to register. Before registering, you should read the PD-DOC Policies. Note that PD-DOC data can be used for research purposes only. Once your registration is successfully completed you will be automatically logged into the website.
Software application (entry from Genetic Analysis Software)
Supplemental Data
Database of raw data from people who have shared their direct-to-customer (DTC) genetic results from 23andMe, deCODEme or FamilyTreeDNA. Logged-In users can search the database for users with specific phenotypes and mass-download all corresponding SNP-datasets. This allows you to get datasets like All genotyping files of openSNP-users that have Alzheimer and the corresponding control group. They are currently working on providing API-access. You can also use JSON to get access to openSNP-data and some other ways: If you want to automate the file-downloads for a given phenotype the RSS-feeds could help you. Inside the RSS-XML there are 2 flags you could use to automatically create correct genotype-groups: gives you the variation of this user at the phenotype you are looking at and gives you the download link. If you were genotyped by 23andMe, deCODEme or FamilyTreeDNA (contact them regarding others) you can upload the raw genotype data which you can download from your DTC test provider. The data will then be openly available for the world to see and download. They also parse these SNPs and annotate them. For annotation they include the manually curated SNPedia and find Open Access primary publications which appear in the journals of The Public Library of Science (PLoS), an Open Access publishing group. Additionally they screen Mendeley, a crowd-sourced repository of scientific publications. You can also publish some of your phenotypes so some day it might get possible to associate some SNPs with phenotypes. You can also share your knowledge about SNPs and phenotypes with other users and can socialize.
A portal for dataset discovery across a heterogeneous, distributed group of transcriptomics, genomics, proteomics and metabolomics data resources. These resources span eight repositories in three continents and six organisations, including both open and controlled access data resources.
Software R package contains data and functions that define and allow translation between different chromosome sequence naming conventions, including function that attempts to place sequence names in their natural, rather than lexicographic order.
VHL is a library, a decentralized and dynamic information-source collection, designed to provide equitable access to scientific knowledge on health. This collection operates as an Internet network of products and services, structured to progressively meet the need for information on health on the part of authorities, administrators, researchers, professors, students, professionals, the media and the general public. It sets itself apart from other information sources available on the Internet due to its selection criteria and quality control. The Virtual Health Library is envisioned as the broad of scientific and technical knowledge based in health-entered, organized, and stored in electronic format in the countries of the Region, universally accessible on the Internet and compatible with international databases. The VHL is a common space shared by information users, producers and intermediaries. It is based on the information paradigm set by the Internet, where users may interact with networks of information sources and with other users. The most important consequence of this paradigm is the convergence of functions and activities of production, intermediation and use of information sources. It will also be possible to enrich, schedule, reformulate, and/or translate the basic information sources into new information products and services, with value added, in order to meet more efficiently the information needs of users from specific communities. BIREME has established a plan of action to implement the Virtual Health Library based on 5 lines of action: promotion and marketing; realignment of traditional products and services; production of electronic publications; development of tools for integrating and locating information; and development of other Virtual Health Library components. Sponsors: VHL is supported by the Latin-American and Caribbean Center on Health Sciences Information.
Software tool for extendable network visualization and analysis for the life sciences. It is Java-based and allows users to create, edit and map data onto existing or new networks. Experimental datasets can be visualized on network elements as graphical charts to show time series data or data of different treatments, as well as environmental conditions in the context of the underlying biological processes. Users can utilize built-in statistical algorithms to evaluate mapped data.
Software R package as interface to the graph algorithms contained in the BOOST library.
Software package to apply the QL, QLShrink and QLSpline methods to quasi-Poisson or quasi-negative binomial models for identifying differentially expressed genes in RNA-seq data.
Database of information of spa-typing of MRSA, or Staphylococcus aureus, that can be used to collate and harmonize data from various geographic regions.
Software R package provides multivariate tools to analyze comparative data. Analysis of comparative evolutionary data. Used for investigating phylogenetic signal in biological traits.
User-contributed list of biological databases available on the internet. Currently there are 1,801 entries, each describing a different database. The databases are described in a semi-structured way by using templates and entries can carry various user comments and annotations. Entries can be searched, listed or browsed by category. The site uses the same MediaWiki technology that powers Wikipedia, The Mediawiki system allows users to participate on many different levels, ranging from authors and editors to curators and designers. MetaBase aims to be a flexible, user-driven (user-created) resource for the biological database community. The main focuses of MetaBase are: * As a basic requirement, MB contains a list of databases, URLs and descriptions of the most commonly used biological databases currently available on the internet. * The system should be flexible, allowing users to contribute, update and maintain the data in different ways. * In the future we aim to generate more communication between the database developer and user communities.
Animal imaging and analysis lab that provides imaging and analytical services for SBP investigators. The facility can perform in vivo non-invasive luminescence and fluorescence imaging for xenograft tumor growth and metastasis studies. Analytical equipment supports complete blood cell counts (CBC) and analysis of serum components revealing metabolic or organ stress from small samples of mouse blood.
Software R package to compute optimal cutpoints for diagnostic tests or continuous markers.Used for selecting optimal cutoffs, analysis and diagnostic test accuracy measures.