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Bone Marrow Donors Worldwide (BMDW) is the continuing effort to collect the HLA phenotypes of volunteer stem cell donors and cord blood units, and is responsible for the co-ordination of their worldwide distribution. Participants are 63 stem cell donor registries from 44 countries, and 43 cord blood banks from 25 countries. The current number of donors and cord blood units in the BMDW database is: 14,605,618 (14,178,976 donors and 426,642 CBU''s The original goal to collect the HLA phenotypes of volunteer stem cell donors and cord blood units, and to co-ordinate their world-wide distribution remain their primary goals. But new initiatives have been added: - To maximise the chance of finding a stem cell donor or cord blood unit by providing access to all stem cell donors and cord blood units available in the world. - To minimise the effort required for stem cell donor or cord blood unit searches: only registries with potential stem cell donors or cord blood units need to be contacted. - To provide an estimate of the chance of finding a stem cell donor or cord blood unit for a given patient. - To provide advanced search programs to identify partially matched stem cell donors or cord blood units. - To facilitate search advice requests via the Internet. - To facilitate improvements in family search strategies. - To provide relevant general information for the benefit of the patient. - To provide statistics on the increase of different registries, the number of DNA typed donors, etc. Sponsors: Bone Marrow Donors Worldwide is an initiative of the Immunobiology Working Party of the European Group of Blood and Marrow Transplantation (EBMT) in 1988. Keyworss: Bone marrow, Donor, Cell, Phenotype, Stem cell, Cord blood unit,

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• SciCrunch
• 17 years ago - by Anonymous

SNPSequer is hunting for susceptibility genes for Bipolar disorder using both positional cloning and candidate gene strategies. Statistics, genomics, informatics and molecular genetics technologies have been implemented to pursue the goal. Sponsors: This resource is supported by the University of Chicago. Keywords: Gene, Bipolar, Disorder, Clone, Cloning, Genomics, Genetic, Technology,

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• SciCrunch
• 17 years ago - by Anonymous

BIDS provided bibliographic database services to the academic community in the UK. Their mission is to provide, on a not-for-profit basis, the highest possible level of service to allow UK Academic institutions and their members access to bibliographic data, scholarly publications and research data. BIDS is believed to have been a world first - a national service providing widespread network access to commercially supplied bibliographic databases, free at the point of delivery. BIDS academic and scholarly journals services are now incorporated into IngentaConnect www.ingentaconnect.com If you are a student, researcher or member of staff at a UK higher or further education institution you can access any of the services to which your institution has subscribed. In addition, there are some services which can be searched without a subscription. These include ingentaJournals and Medline. You can discover which services are available to you by logging in to BIDS with your Athens username and password. All available services will be highlighted in the service selection page.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 14, 2014. Database on the subject of bacterial (prokaryotic) proteases. ProLysED is a freely browsable using the Demo account. Certain services will require user registration.

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• SciCrunch
• 17 years ago - by Anonymous

Welcome to the Bayesian Analysis of Common NMR Problems software home page. This Bayesian analysis software is a series of programs with a Java interface that use Bayesian probability theory to solve common data analysis problems that occur in the sciences and in NMR in particular. Click here for a complete list of the applications addressed. The programs that run the various Bayesian analysis, the server software, were developed at Washington University by Dr. G. Larry Bretthorst and the Java language client interface was developed by Dr. Karen Marutyan. The combination of the server and client software is called the Bayesian Analysis of Common NMR Problems software. However, this name is slightly misleading because this software can analyze data from many different sources, not just NMR data. Additionally, unlike the previous interface to this software, this new interface does not require the user to have access to any specialized NMR software, i.e., this interface is completely independent of Varian''s VnmrJ, although the interface can load and process data from a Varian spectrometer. Sponsors: This resource is supported by the Washington University in St. Louis. Keywords: Analysis, Software, Java, Theory, Science, NMR, Server, Data, Spectrometer,

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• SciCrunch
• 17 years ago - by Anonymous

This service offers a gateway to well-benchmarked protein structure and function prediction methods. Structural models collected from the prediction servers are assessed using the powerful 3D-jury consensus approach. The Structure Prediction Meta Server provides access to various fold recognition, function prediction and local structure prediction methods. The Server takes the amino acid sequence of the query protein, the reference name for the prediction job, and the E-mail address as input. The E-mail address is used only for notification about errors during the execution of the job. The query sequence and the reference name are placed in the process queue. The Meta Server accepts only sequences, which have not been submitted before. In case of duplicate sequences the second user will be notified with a link to the previous submission. Sequences longer than 800 amino acids are not accepted by some services. The internal SQL database offers the possibility to find any previous jobs processed by the Meta Server using regular expressions addressing field like E-mail, Job Name and the host name, from which the job was initiated. Each server has its own process queuing system managed by the Meta Server. All results of fold recognition servers are translated into uniform formats. The information extracted from the raw output of the servers includes the PDB codes of the hits, the alignments and the similarity (reliability) scores specific for every server. Mapping of the hits to the SCOP and FSSP classifications are made either using known PDB representatives or alignment of the template sequence with the databases of proteins in both classifications. The secondary structure assignments for all hits are taken from the mapped FSSP (red for helices and blue for strands). Underscored amino acids indicate the first residue after an insertion in the template sequence. The Meta server provides translation of the alignments in standard formats like FASTA, PDB or CASP. The Meta Server is coupled to consensus servers. They provide jury predictions based on the results collected from other services. Not all fold recognition servers are used by the jury system. The data stored on the meta server is available through http://meta.bioinfo.pl/data/JOBID/. Jobs older than 2 months are not shown. The Meta Server is only a set of programs aimed to process and manage biological data, while the predictive power of the service comes from (mostly) remote prediction providers. Sponsors: This resource is supported by The BioInfoBank Institute.

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• SciCrunch
• 14 years ago - by Anonymous

Project dedicated to providing Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics. Sponsor: BioJava is not formally funded by any grants. Through the OBF they have received sponsorship from Sun Microsystems, Apple Computers and NESCent. The initial development of the phylogenetics module was undertaken as a Google Summer of Code 2007 project in collaboration with NESCent.

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• SciCrunch
• 14 years ago - by Anonymous

BioLayout Express3D is a powerful new tool for the visualization and analysis of networks derived from biological systems. Network-based approaches are becoming increasing popular for the analysis of ''omics and other high dimensional data. Networks can be produced from a wide variety of biological relationships, such as interactions between individuals, disease transmission, sequence similarity, metabolic pathways, protein interactions, pathways, regulatory cascades, gene expression, etc. BioLayout Express3D has been specifically designed for visualization, clustering and analysis of large network graphs in two- and three-dimensional space derived primarily, but not exclusively, from biological data. Sponsors: This resource is supported by BBSRC (BB / F003722 / 1) and the Wellcome Trust (GR077040RP). Keywords: Biology, Tool, Software, visualization, Analysis, Network, Biological, System, Dimentional, Data, Disease, Transmission, Sequence, Metabolic, Pathway, Protein, Interaction, Gene, Expression, Clustering, Analysis,

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• SciCrunch
• 17 years ago - by Anonymous

Blog discussing preprints in population and evolutionary genetics.

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• SciCrunch
• 13 years ago - by Anonymous

This project encompasses development of novel biological network analysis methods and infrastructure for querying biological data in a semantically-enabled format, and aims to create a semantic interactome model. Research within the BioMANTA project will focus on computational modelling and analysis, primarily using Semantic Web technologies and Machine Learning methods, of large-scale protein-protein interaction and compound activity networks across a wide variety of species. A range of information such as kinetic activity, tissue expression, and subcellular localization and disease state attributes will be included in the resulting data model. Protein interactions are a fundamental component of biological processes. Many proteins are functional only in multimeric complexes, or require interaction partners to achieve their correct localisation or function. For this reason, the study of protein-protein interaction (PPI) networks has become an area of growing interest in computational biology. Through the use of Semantic Web technologies such as Resource Description Framework (RDF) and Web Ontology Language (OWL), interaction data is modelled to create a knowledge representation in which meaning is vested in the ontology rather than instances of data. Stochastic and computational intelligence methods are applied to this data to infer high coverage networks. Semantic inferencing is used to infer previously unknown and meaningful pathways. Major project components: - The BioMANTA Ontology:- An OWL DL ontology incorporating the PSI-MI Ontology, the NCBI Taxonomy, and elements of BioPax ontology and Gene Ontology (describing subcellular localisation). This allows us to re-use existing ontologies, thereby reducing overheads associated with knowledge acquisition in the ontology development process. We are able to integrate existing public data that contain annotation in these formats. - Data conversion & semantic protein integration:- A set of software components that convert protein-protein databases (DIP, MPact, IntAct, etc.) from PSI-MI XML to RDF compliant with the BioMANTA ontology. These software allow us to make these protein-protein interaction datasets (and more generally, any PSI-MI XML data) semantically available for querying and inference within BioMANTA. - A RDF triple store based on RDF Molecules and the MapReduce architecture:- A proof-of-concept RDF triple store using RDF molecules and Hadoop scale-out architectures. Regular RDF graphs are deconstructed into RDF molecules, which are distributed over distributed compute nodes in the MapReduce architecture, and are subsequently combined to form equivalent RDF graphs. Such an approach makes the distributed SPARQL querying and reasoning on RDF triple stores possible. - A quantitative framework to integrate networks extracted from independent data sources (gene expression, subcellular localization, and ortholog mapping):- The model is multi-layer, with a first layer based on Decision Trees where each Decision tree is built on each dataset independently. The tree nodes are cut using Shannon''s entropy (mutual information); the decision of these independent trees is integrated using logistic regression, and the parameters are optimised using maximum likelihood. Sponsors: This resource is supported by the Pfizer Global Research and Development, the Institute for Molecular Bioscience (IMB), and the University of Queensland, Australia.

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• SciCrunch
• 14 years ago - by Anonymous

This is portal takes you to the BioRobotics Laboratory website. Keywords: Laboratory, Software, Robot, Robotics, Biology,

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• SciCrunch
• 17 years ago - by Anonymous

Provided core services include Sanger DNA Sequencing, Next Generation DNA Sequencing (Four Illumina MiSeqs, four Illumina NextSeq 500s and one Illumina NovaSeq 6000),Next Generation Automated Library Sample Prep (Perkin Elmer Sciclone Genomic, ChIP, RNAseq and other methods), Single Cell DNA and RNA-Seq (10X Genomics Chromium), Bioanalyzer Analysis DNA and RNA (Two Agilent 2100 BioAnalyzers and two Agilent 2200 TapeStations), Qiagen Qiacube Automated DNA / RNA Prep (single to multiple samples), Oligonucleotide Ordering (IDT Portal), Reagents and Supplies Ordering (multiple vendors / products). Facility web based Laboratory Information Management System provides users with access to order services and supplies as well as retrieve data and review and pay invoices all online.

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• SciCrunch
• 17 years ago - by Anonymous

Ontology of Cerrado wood plant dynamics to represent the set of concepts about the dynamics, that is, changes over time of the wood vegetation structure, of Cerrado. Ccon describes the main parameters used to measure the changes, such as mortality rate and recruitment rate.

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• SciCrunch
• 13 years ago - by Anonymous

Biopython is a set of freely available tools for biological computation written in Python by an international team of developers. It is a distributed collaborative effort to develop Python libraries and applications which address the needs of current and future work in bioinformatics. The source code is made available under the Biopython License, which is extremely liberal and compatible with almost every license in the world. It works along with the Open Bioinformatics Foundation, who generously host it''s website, bug tracker, and mailing lists. Sponsor: This resource is supported by the Open Bioinformatics Foundation. Keywords: Tool, Software, Python, Biological, Computation, Bioinformatics,

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 18,2025. Biosceen C is a system designed for automating routine microbiology work. It uses a unique micro-plate format (10x10 wells), so called Honeycomb format, which is especially well suited for highly accurate temperature control. It features two covered honeycomb plates making it possible to run 200 samples simultaneously. Its unique patented incubator system features temperature control maintaining the set temperature with a 0,1 degree centigrade accuracy, while avoiding condensation of liquid on the inside of the micro plate lid. It can cool down the samples 6 degrees centigrade below the ambient temperature and its working range is from 1 to 60 degrees in steps of 0,1 degree centigrade. Sponsors: Oy Growth Curves Ab Ltd is a privately held company established in 2002 by a former Labsystems executive. It aquired the Bioscreen product line from Thermo Labsystems and has continued to maintain the product excellence Bioscreen is known for. Today the company is controlled by a new generation of owner operators, dedicated to continue developing Bioscreen to meet the demands of today''s users Keywords: Microbiology, Automation, Honeycomb, Incubation, System, Temperature, Technology, Supplier,

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• SciCrunch
• 17 years ago - by Anonymous

The Neurocommons project is an Open Source knowledge management platform for biological research. It seeks to make all scientific research materials - research articles, annotations, data, physical materials - as available and as usable as they can be. We do this by both fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called interoperability. We want knowledge sources to combine meaningfully, enabling semantically precise queries that span multiple information sources. Our work covers general data and knowledge sources used in computational biology as well as sources specific to neuroscience and neuromedicine. The practices that we develop and promote are designed to play well on the Semantic Web. We view our technical work not as creating a new service or content library, although we do both, but rather as helping to promote the growth of semantically linked scientific information.

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• SciCrunch
• 17 years ago - by Anonymous

The DNA replication website''s aim is to provide an up to date knowledge base for the eukaryotic DNA replication community. It also aims to provide a discussion forum for replication related topics and newly published papers on the blog boards.

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• SciCrunch
• 17 years ago - by Anonymous

The NIH Biowulf cluster is a GNU/Linux parallel processing system designed and built at the National Institutes of Health and managed by the Helix Systems Staff. The system is designed for large numbers of simultaneous jobs common in bioinformatics as well as large-scale distributed memory tasks such as molecular dynamics. Sponsor: This work was supported by the National Institutes of Health Intramural Research Program through the Center for Information Technology and the National Institute of Neurological Disorders and Stroke, and by the Internal National Institute of Standards and Technology Research Fund. Keywords: Software, Program, Processing, System, Simulatenous, Bioinformatics, Memory, Molecular, Dynamics,

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• SciCrunch
• 17 years ago - by Anonymous

Software program for automated construction of genetic maps (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous

Blood testing is the single most important preventive tool you can use to help head off health problems. Life Extension makes it possible to take advantage of that tool at a fraction of the cost commercial blood labs charge. Get a picture of your overall health. Identify potential disease risks. Test for specific problems with comprehensive blood test panels and individualized tests like these: * Male and Female Comprehensive Panels * Cardiac Risk Factors * Vitamin Deficiencies * Hormone and Thyroid Panels * Metabolic and Chemistry Profiles

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• SciCrunch
• 16 years ago - by Anonymous