OpenSciInfo

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).

The following are confirmed poster presentations. Note that there is no dedicated poster session for the workshop - there is just one general poster session for the conference. The information below should help you to find the posters relevant to our workshop.

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

his meeting was about "Making the Web Work for Science and the Impact of e-Science and the Cyberinfrastructure." I provided an overview of how access to information has changed over the past 20 years for me. I talked about the challenges for publishers serving the chemistry community and how their business models are being challenged and how I empathize with the struggle to figure out how to deal with it. I talked about quality and how care must be taken when using information online. We are ALL challenged with errors - whether you consider PubChem, ChemSpider, Wikipedia or any of the other online databases they all have errors - how do you find them? Some of them are obvious and I pointed to obvious examples in the talk. I hoped to educate the attendees in regards to the value of InChI which, while not a perfect fit yet, is a great start to structure-based communication of chemistry. I publicly blessed the efforts of publishers such as the RSC and Nature Publishing group for the efforts they are making to support InChI and improve the quality of document presentation online. I blessed CAS as a treasure trove of information and the gold standard of curated chemistry. We need them all to be successful for the sake of our science. The challenge is how to fit into the ongoing proliferation of free access to information without modifying the business models.

The presentation provides an overview of some of the challenges the publishers face moving forward, how they are responding to it, how InChI is an enabling technology, how quality is important.

These Web Services can be used to create applications on Molecules and their Properties. Details of the Web Services can be found here. If you are new to using these Web Services, please take a few minutes to read the instructions here.

This package contains code for use with Short Read DNA Sequencing technologies, and includes packages for ChIP-Seq, Whole Transcriptome Shotgun Sequencing, Whole Genome Shotgun Sequencing, SNP Detection, Transcript expression and file conversion.

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.

To establish a method of measuring the solubility of some compounds in organic solvents. For a justification of this project see here.

The BioInfoBank Meta Server 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.

With the following three steps, you can set up a Disco cluster in the Amazon's Elastic Computing Cloud. This will cost you a few dollars (or more, depending on your needs) but requires no resources on your side besides a single machine that you use to setup the cluster. In this setup Disco master and nodes run on EC2. Your Disco client can run either on the master node on EC2 or on a local machine.

This blog exposes and debunks the lies of young earth creationism and their false beliefs on dinosaurs.

A Knoppix / Debian variant tailored to numerical and quantitative analysis.

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.

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.

Not a few biologists tend to consider wiki as a solution to manage and reorganize data by a community. However, in its basic functionality, wiki lacks a measure to check data consistency and is not suitable for a database. To circumvent this pitfall, installation of page dependency through in-line page searches is necessary. We also introduce two existing approaches that support in-line queries.

bioconductor.org Bioconductor is an open source and open development software project for the analysis and comprehension of genomic data.

Our community guide allows you to set up your own MPI (Message Passing Interface) based supercomputer cluster with the Playstation 3. This guide was co-written by Gaurav Khanna, based on his previous work on the Gravity Grid and is a current run-time environment for the research of co-author (Chris Poulin), based on his current work in distributed pattern recognition. As such, we currently utilize the Fedora Core for this infrastructure and illustrate a "how-to" below. NOTE: We focus on the Fedora 8 distribution, due to prevalence of Fedora and its Cell SDK (3.0) compatibility. Finally, this content should be considered open source, and here is the license.