We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
International group of researchers interested in providing standardized gene nomenclature for chicken genes. A Chicken Gene Annotation Tool is available from CGNC-UK which assigns chicken nomenclature based on predicted orthology to human genes. The CGNC-US database includes CGNC-UK information and adds manually biocurated from biocurators and interested contributors. A Human Chicken Ortholog Predictions Search is available. Both resources are part of a united CGNC effort and nomenclature data is shared and co-ordinated between these two resources. They strongly encourage researchers with domain knowledge to participate in this nomenclature effort by requesting a login and providing gene nomenclature for their genes of interest. Please contact them for further information or assistance. The AGNC works in conjunction with public resources such as NCBI and Ensembl and in consultation with existing nomenclature committees, including the Chicken Gene Nomenclature Committee (CGNC). The Avian and Chicken nomenclature efforts are co-ordinated and chicken data is shared between these two groups.
EIGENSOFT package combines functionality from our population genetics methods (Patterson et al. 2006) and our EIGENSTRAT stratification method (Price et al. 2006). The EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls along continuous axes of variation; the resulting correction is specific to a candidate marker''s variation in frequency across ancestral populations, minimizing spurious associations while maximizing power to detect true associations. The EIGENSOFT package has a built-in plotting script and supports multiple file formats and quantitative phenotypes. Source code, documentation and executables for using EIGENSOFT 3.0 on a Linux platform can be downloaded. New features of EIGENSOFT 3.0 include supporting either 32-bit or 64-bit Linux machines, a utility to merge different data sets, a utility to identify related samples (accounting for population structure), and supporting multiple file formats for EIGENSTRAT stratification correction.
An ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp). NOTICE: The PRO ID format has changed from PRO: to PR: (e.g. PRO:000000563 is now PR:000000563).
D2R Server is a tool for publishing relational databases on the Semantic Web. It enables RDF and HTML browsers to navigate the content of the database, and allows applications to query the database using the SPARQL query language. Data on the Semantic Web is modeled and represented in RDF. D2R Server uses a customizable D2RQ mapping to map database content into this format, and allows the RDF data to be browsed and searched the two main access paradigms to the Semantic Web. D2R Server''s Linked Data interface makes RDF descriptions of individual resources available over the HTTP protocol. An RDF description can be retrieved simply by accessing the resource''s URI over the Web. Using a Semantic Web browser like Tabulator (slides) or Disco, you can follow links from one resource to the next, surfing the Web of Data. The SPARQL interface enables applications to search and query the database using the SPARQL query language over the SPARQL protocol. Requests from the Web are rewritten into SQL queries via the mapping. This on-the-fly translation allows publishing of RDF from large live databases and eliminates the need for replicating the data into a dedicated RDF triple store. The latest source code is available from the project''s CVS repository and can be browsed online.
Since 1995 the Tumorbank Basel Foundation (German: Stiftung Tumorbank Basel) is a non-for-profit foundation acting in cancer translation research. The purpose of the Tumorbank Basel Foundation is to support in promoting optimization of decision making process for the management of solid cancer personalized treatment modalities to the benefit of the patient. Our Aims: * Acquisition and storage of biological material and clinical data of patients suffering of solid cancer diseases in particular breast and prostate cancer. * Promoting and supporting cancer research using the acquired material and data for clinical studies and translational research. * The development of molecular tumor analyses / tools for cancer patients and the performance of the resulting diagnostic services for personalized treatment modalities. The Tumorbank Basel Foundation has acquired * Data about more than 10''000 breast cancer patients * Data comprise clinical and pathological (histology & IHC) characteristics and biochemical (continuous quantified protein expression levels) features, which are available for almost all samples as well as clinical follow-ups now available for more than 2''000 patients * The RNA expression level of 65 genes has been assessed in >800 samples by Real-Time PCR (317 retrospectively in cases with follow-up, the remaining on a routine basis, prospectively since 2004) The Tumorbank Basel Foundation is storing in Freezers at - 80 degrees C * Ca. 6''000 fresh frozen tissue samples of breast cancer patients * Ca. 9''000 particulate fractions (cytosol / membrane) of all samples analyzed * Ca. 1''000 paired non-malignant adjacent tissue material samples * More than 1''000 extracted RNA samples of good quality * Serum and plasma collection from patients has been started since 2005 All data are stored in a relational SQL data bank using an application. The Tumorbank Basel Foundation is collaborating with several pathology institutes allowing to perform studies correlating results obtained from fresh frozen and paired paraffin embedded tissue samples. The Tumorbank Basel Foundation has started a prostate carcinoma project in Collaboration with the ZeTuP (www.zetup.ch) and pathology institute of St. Gallen. Fresh frozen samples of more than 150 prostate carcinoma patients have been collected and are under investigation.
XP-CLR (Chen et al. 2010) uses allele frequency differentiation at linked loci to detect selective sweeps. Source code and documentation are available.
The SCRM-CTBB offers state-of-the-art infrastructure and technologies (e.g. cryogenic work bench, semiautomatic cryogenic storage system, uninterrupted cooling chain) and is structured into two areas, including research and a GMP/GCP regulated therapeutic applications. Research: For pre-clinical studies, the SCRM-CTBB provides researchers guidance regarding cell and tissue cryo-preservation, comprising registration, handling, storage and distribution. In order to ensure complete traceability on samples and belonging information all processes are controlled by a Laboratory Information Management System (LIMS) and Quality Assurance (QA) system. The SCRM Biobank is designed to create database that allows connection with other biobanks nationally and internationally. This meta-data file will enable a unique scientific resource for interdisciplinary research. For every new study a contract is established describing the study and the disposition rights. Assistance in writing Biobank Agreements (BAs) and Material Transfer Agreements (MTAs) is provided. Therapeutical applications: As a new feature, apart from research, the SCRM Biobank enables the asservation and preservation of cells and tissues under GMP conditions for later therapeutic use. A special focus will be on a conceptional combination of private and public umbilical cord blood banking (hybrid banking), which allows autologous and/or allogeneic cell applications.
Founded by the physician partners of ACORN, Inc. (Accelerated Community Oncology Research Network), World BioBank embraces forward-thinking technology and a strong commitment to the advancement of bioscience. The World BioBank collects cancer samples, normal samples, and other non-neoplastic diseases. Data available include sample-specific data, patient-specific data, and study-related data. * SOLID TISSUES (snap frozen and matched formalin-fixed paraffin embedded diseased and normal internal controls) from: Surgical resections, Image-guided biopsies, Bone marrow biopsies, Endoscopic biopsies * LIQUID TISSUES: Peripheral blood, Genomic DNA (from buffy coat), Plasma, Serum World BioBank is committed to marrying samples to a wealth of longitudinal medical data and tissue-specific data.
Wellness Wiki is offered to help clarify the complex problems plaguing the U.S. healthcare system and develop sustainable ways to improve the health and well-being of all people. This virtual encyclopedia of the healthcare crisis and potential remedies welcomes your comments! The Wellness Wiki Book (Understanding & Curing American Healthcare: A Wise Way to Better Outcomes and Lower Costs) is available for purchase as a softcover book or pdf download. Table of contents: *Introduction & Executive Summary *Defining the Problem *Examining Three Proposed Solutions *Introducing a New Solution - Overview and Benefits, Wellness-Plus Solution Tactics, Barriers and Drivers to Implementing the Wellness-Plus Solution *Conclusion & Epilogue *Appendix *Wellness Model Technology Blueprint
The Tissue Bank stores tissue, blood, and bone marrow samples that have been taken from patients who have given their consent after they have undergone biopsies, surgery, or other procedures for cancer at the John Theurer Cancer Center. Our scientists use these samples to analyze and study multiple types of human cancer, with a goal toward learning more about how cancer develops, developing innovative new treatments, and determining how well a treatment is working. Our Tissue Bank is overseen by our program and medical director, Andre Goy, M.D., M.S., who is also deputy director of the Cancer Center and chief of the Division of Lymphoma; and our scientific director, K. Stephen Suh, Ph.D. Currently, 30 percent of our Tissue Bank team members work in our clinics, and 70 percent of our team works ����?��������??behind the scenes,����?��������?? conducting important scientific research without meeting patients.
Public reference database supporting the XML family of markup language standards, XML vocabularies, and related structured information standards. It promotes and enables the use of open, interoperable, standards-based solutions which protect digital information and enhance the quality of data processing. The Cover Pages web site provides reference material on enabling technologies compatible with SGML/XML descriptive markup language standards and applications: object modeling, semantic nets, ontologies, authority lists, document production systems, and conceptual modeling. It also supplies references for social aspects of distributed and public sector concerns: privacy, open standards, patented technology embedded in standards, etc. NB. This statement and the resource itself are works in progress, subject to continuous revision.
Public research university with its main campus in Athens, Georgia. Founded in 1785, it is one of the oldest public universities in the United States.
HSSP (homology-derived structures of proteins) is a derived database merging structural (2-D and 3-D) and sequence information (1-D). For each protein of known 3D structure from the Protein Data Bank, the database has a file with all sequence homologues, properly aligned to the PDB protein. Homologues are very likely to have the same 3D structure as the PDB protein to which they have been aligned. As a result, the database is not only a database of sequence aligned sequence families, but it is also a database of implied secondary and tertiary structures. Likely secondary structure are carried over from the PDB protein to each homologous protein. Tertiary structure models can be built by fitting the sequence of the homologue as aligned into the 3D template of the protein of known structure. Special software is needed to construct 3D models by homology, such WHATIF by Gert Vriend or MaxSprout by Liisa Holm and Chris Sander. The command rsync can be used to obtain a local copy of the HSSP. We appreciate receiving an Email from people who do so, but there are no strings attached. Everybody can freely download the files, academia and industry alike. If your institute''s firewall doesn''t allow you to use the (preferred) rsync way of obtaining HSSP files, feel free to work with FTP. The files are in that case available from: ftp://ftp.cmbi.ru.nl//pub/molbio/data/hssp/
Pythia is an open source thermodynamically oriented primer design python module. Pythia can be used in two ways. 1. Executable binaries only: under windows with cygwin and python 2.5 (built with mingw, that comes with the cygwin release). These executables allow the user to index DNA files for primer specificity search, design one primer pair per region, and tile regions with PCR amplicons. 2. A python module: under windows with cygwin, python2.5, numpy, swig, and mingw, or under linux with python2.4 or later, numpy, and swig (everything but numpy should be pre-installed on a normal linux system). The module gets you everything that the binaries get you, in a more pythonic framework. This package also includes modules for computing DNA binding and folding energies using the partition function approach with publicly available thermodynamic data. Usage documentation is in the downloads.
Portal and tools for sharing and editing neurophysiological and behavioral data for brain-machine interface research. Users can search for existing data or login with their Google, Facebook, or Twitter account and upload new data. Their main focus is on supporting brain-machine interface research, so we encourage users to not just provide recordings of brain activity data, but also information about stimuli, etc., so that statistical relationships can be found between stimuli and/or subject behavior and brain activity. The Matlab tools are for writing, reading, and converting Neuroshare files, the common file format. A free, open source desktop tool for editing neurophysiological data for brain-machine interface research is also available: https://github.com/ATR-DNI/BrainLiner Since data formats aren''''t standardized between programs and researchers, data and analysis programs for data cannot be easily shared. Neuroshare was selected as the common file format. Neuroshare can contain several types of neurophysiological data because of its high flexibility, including analog time-series data and neuronal spike timing. Some applications have plug-ins or libraries available that can read Neuroshare format files, thus making Neuroshare somewhat readily usable. Neuroshare can contain several types of neurophysiological data, but there were no easy tools to convert data into the Neuroshare format, so they made and are providing a Neuroshare Converter Library and Simple Converter using the library. In future work they will make and provide many more useful tools for data sharing. Shared experiments include: EMG signal, Takemiya Exp, Reconstruct (Visual image reconstruction from human brain activity using a combination of multi-scale local image decoders), SPIKE data, Speech Imagery Dataset (Single-trial classification of vowel speech imagery using common spatial patterns), Functional Multineuron Calcium Imaging (fMCI), Rock-paper-scissors (The data was obtained from subject while he make finger-form of rock/paper/scissors). They also have a page at https://www.facebook.com/brainliner where you can contact us
Database documenting mycological nomenclatural novelties (new names and combinations) and associated data, for example descriptions and illustrations. The nomenclatural novelties will each be allocated a unique MycoBank number that can be cited in the publication where the nomenclatural novelty is introduced. These numbers will also be used by the nomenclatural database Index Fungorum, with which MycoBank is associated and will also serve as Life Science Identifiers (LSIDs). Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural errors; however, no censorship whatsoever, (nomenclatural or taxonomic) will be exerted by MycoBank. Deposited names will remain -when desired- strictly confidential until after publication, and will then be accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases to realize a species bank that eventually will link all databases of life. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute to this new initiative. For the moment 2 search engines are available from the MycoBank website. The first one permits to search for fungal names (at any rank level), the authority or the MycoBank unique number. The second is dedicated to bibliographic queries related to fungal name''''s publications. MycoBank users willing to deposit their data will have to register so that they willbe able to contact the depositor for specific information (e.g. MycoBank number, possible points of attention regarding the name, actual publication, etc), and to avoid fake entries.
Graduate school provides training of highly educated biomedical scientists through collaborative and interdisciplinary research. Provides degree programs in Cell, Molecular and Developmental Biology; Genetics; Immunology; Molecular Microbiology; Neuroscience; Clinical and Translational Science; Pharmacology and Drug Development.
A virtual database currently indexing multiple podcast resources including: The Brain Science Podcast, Nature Podcast, NeuroPod, Science Podcast, The American Journal of Psychiatry Podcast, 60-Second Mind, and Science Talk.
ArchSchema is a java webstart application that generates dynamic plots of related Pfam domain architectures. The protein sequences having each architecture can be displayed on the plot and separately listed. Where there is 3D structural information in the PDB, the relevant PDB codes can be shown on the plot. Sequences can be be filtered by organism, or the output can be limited to just those protein sequences for which there is structural information in the PDB. Search by UniProt sequence id, or by Pfam domain id. Red underlines indicate the extent to which 3D structures of the domains and architectures are available in the PDB. Left-clicking on a node shows a panel containing information about the constituent domains, the protein sequences having the given architecture, and any sequences that have whole or partial structures in the PDB. You can display protein sequence (or, alternatively, the protein structures) associated with each architecture. You can download ArchSchema to run locally from your own machine. Note, however, you only download the code and not the data. Thus you will need to be connected to the Internet whenever you perform a search from within ArchSchema. The search initiates a call to the EBI which returns the data to ArchSchema for graphing.