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The Bioinformatics Toolkit is a platform that integrates a great variety of tools for protein sequence analysis. Many tools are developed in-house, and serveral public tools are offered with extended functionality. The toolkit includes, among others: NucleotideBLAST, ProteinBLAST, PSI-BLAST, fastHMMER, HHsenser; ClustalW, MUSCLE, Mafft, ProbCons; HHrep, PCOILS, REPPER; Quick2D; HHpred, Modeller; CLANS, ANCESCON, PHYLIP; Reformat, RetrieveSeq, gi2promoter. For a short description of the tools, click the section tabs.

The myGrid team produce and use a suite of tools designed to "help e-Scientists get on with science and get on with scientists". The tools support the creation of e-laboratories and have been used in domains as diverse as biology, social science, music, astronomy, text mining and chemistry. The tools have been adopted by a large number of projects and institutions. The team has developed tools and infrastructure to allow: * the design, editing and execution of workflows in Taverna * the sharing of workflows and related data by myExperiment * the cataloguing and annotation of services in BioCatalogue and Feta * the creation of user-friendly rich clients such as UTOPIA

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 Neuroscience Information Framework (NIF) is a dynamic inventory of web-based neurosciences data, resources, and tools that scientists and students can access via any computer connected to the Internet. An initiative of the NIH Blueprint for Neuroscience Research, the NIF will advance neuroscience research by enabling discovery and access to public research data and tools worldwide through an open source, networked environment.

If required, entire databases can be downloaded from our FTP site in a variety of formats, from flat files to MySQL dumps. Please be aware that these files can run to many gigabytes of data. To facilitate storage and download all databases are GNU Zip (gzip, *.gz) compressed. Please note: Ensembl supports downloading of many correlation tables via the highly customisable BioMart data mining tool. You may find exploring this web-based data mining tool easier than extracting information from our database dumps.

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

A fully developed set of DNA sequence assembly (Gap4), editing and analysis tools (Spin) for Unix, Linux, MacOSX and MS Windows.

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).

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.

Through its resource registry and concept based query system, NIF enhances neuroscience research by enabling discovery and access to research data and tools worldwide.

We are focused on providing tools to our users to ensure that they can add information of interest to structure-based records in ChemSpider. We have introduced DOI-based associations recently allowing users to connect publications of interest to chemical compounds on our database. The process is simple. Find the structure record of interest, use the Add DOI function and Publish. The process is outlined graphically below.

This package of tools encompasses many of the common pieces of software required for the analysis of short read sequences produced by the Second Generation DNA sequencing machines. (eg. Illumina/Solexa sequencers, ABI SOLiD and 454). The focus of this project is on post-alignment analysis, thus the input for this process should be the files produced by sequence aligners such as MAQ, Eland or Exonerate. The output should be provided in several formats, including BED and WIG files which are readable by the UCSC Genome Browser.

This semantic wiki at OpenResearch.org aims at making the world of science more visible and accessible. Everybody can add his favorite events (e.g. conferences and workshops), co-workers, tools / datasets, community fora or journals. Pooled together these pieces of information constitute a vast knowledge base about who and what moves science forward.

BioMart is a query-oriented data management system developed jointly by the Ontario Institute for Cancer Research (OiCR) and the European Bioinformatics Institute (EBI). The system can be used with any type of data and is particularly suited for providing 'data mining' like searches of complex descriptive data. BioMart comes with an 'out of the box' website that can be installed, configured and customised according to user requirements. Further access is provided by graphical and text based applications or programmatically using web services or API written in Perl and Java. BioMart has built-in support for query optimisation and data federation and in addition can be configured to work as a DAS 1.5 Annotation server. The process of converting a data source into BioMart format is fully automated by the tools included in the package. Currently supported RDBMS platforms are MySQL, Oracle and Postgres. BioMart is completely Open Source, licensed under the LGPL, and freely available to anyone without restrictions.

With the drama and urgency of a sportscaster, statistics guru Hans Rosling uses an amazing new presentation tool, Gapminder, to debunk several myths about world development. Rosling is professor of international health at Sweden's Karolinska Institute, and founder of Gapminder, a nonprofit that brings vital global data to life. (Recorded February 2006 in Monterey, CA.)

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