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.
OpenCV is an open source computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform, and runs on Mac OS X, Windows and Linux. It focuses mainly towards real-time image processing, as such, if it finds Intel's Integrated Performance Primitives on the system, it will use these commercial optimized routines to accelerate itself.
This implementation is not a complete port of OpenCV. Currently, this library supports :
* real-time capture
* video file import
* basic image treatment (brightness, contrast, threshold, …)
* object detection (face, body, …)
* blob detection
Future versions will include more advanced functions such as motion analysis, object and color tracking, multiple OpenCV object instances …
For more information about OpenCV visit the Open Source Computer Vision Library Intel webpage, the OpenCV Library Wiki, and the OpenCV Reference Manual (pdf).
Processing (BETA) library to communicate with MySQL (or any other SQL) databases.
note that due to java security restrictions this will not work with applets "out of the box"
and that many remote mysql-servers will only allow local access ("localhost")
or connections from trusted hosts. (see notes. )
also note that you should have some experience with SQL to put, change
and retrieve data from the database.
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.
Sixty years of study have made Escherichia coli K-12 the most deeply understood organism at the molecular level. Much of what we know about cellular processes can be traced to fundamental discoveries in E. coli. In spite of its great importance as a model organism, information about E. coli is distributed among many online resources. EcoliHub uses web services that are being developed to make seamless bidirectional connections between E. coli resources, thereby enabling the full use of existing knowledge and supporting cutting-edge research into the molecular basis of life.
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EcoliHub is being developed to serve the user community. Users can help teach us what is desirable in future releases by taking our User Survey.
# WARNING: USE AT YOUR OWN RISK! # It is recommended to use this script as a guide # # This is tested on a Ubuntu 8.10 Live Session # get it at http://www.ubuntu.com/getubuntu/download # # To run this script, paste the following line in a terminal: # wget http://einrad.eu/stuff/wikipedia-iphone; sh wikipedia-iphone # (you need an internet connection) # # if everything works, download the latest dump in your language # and rerun the last lines starting at the process command # hint: change the lang-variable # # Last change: 20 Nov 2008 # contact: felix - beerleader - net
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.
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.
Welcome to Manuscriptedit.com, your online partner for English language editing, proofreading, medical writing, formatting, design & development and publication support services. We offer a comprehensive manuscript editing service before its submission for publication as well as after acceptance by the peer review process.