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Hello Colleagues: We hope you enjoy our last eNews for the year, which contains special offers, info on sponsorship and general items, product news and articles. Use your budget before the end of the year Trading Hours over the Summer Period Our support e-mail address support@hrs.co.nz will be monitored through the break. In an emergency please call Ray on 021-1700-713. Talk to HRS Best wishes, The HRS Team | ||||||||||||||||||
Special OffersSpecial Offer: 90% off CLC Main Workbench for Academics Who Upgrade their Existing Product
This special upgrade offer saves over 90% off the list price which is around $US985. Take advantage of this time limited offer before 31 December and receive a perpetual license plus support and updates for the next year.
Why invest in the CLC Main Workbench? CLC Main Workbench creates a software environment enabling users to make a large number of advanced protein, DNA, and RNA sequence analyses, combined with smooth data management, and excellent graphical viewing and output options and is available on Windows, Mac OS X, and Linux platforms. To learn more about the CLC Main Workbench, visit www.hrs.co.nz/clcmainworkbench. Visit http://www.hrs.co.nz/CLCMainWBAcademicUpgradeTLO.aspx to take advantage of this offer.[ Back to top ]
Special Offer: 30% Discount on CLC Genomics Workbench
Commercial Single-user User Discounted Prices (Download Only) Academic Single-user User Discounted Prices (Download Only)
CLC Genomics Workbench helps you analyse and visualise next generation sequencing data. It incorporates cutting-edge technology and algorithms, while also supporting and integrating with the rest of your typical NGS workflow.
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Special Offer: 10% Discount on All Other CLC WorkbenchesPurchase any CLC Workbench before 22 December and receive 10% off.
CLC Protein Workbench - Advanced Protein Sequence & DNA Analyses Please visit our website for a complete list of features and benefits for each CLC bio workbench at www.hrs.co.nz/prod_list.aspx. * (formerly Gene WB)
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Special Offer: 20% Discount on ChemOffice Products
Commercial Licenses Academic Licenses What is ChemBioOffice? What is ChemOffice? What is ChemBioDraw? What is E-Notebook?
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Sponsorship and General NewsHRS Sponsors Our Far South Voyage
HRS is pleased to be a sponsor of the Our Far South Southern Ocean voyage, to take place for 4 weeks from mid-February 2012. Our interest stems from Ray Hoare's student project, where he spent Visit www.hrs.co.nz/ourfarsouth.aspx for more details and updates from Ray.
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MATLAB is currently available for use by all staff and students at Otago University
Here is a list of the products that are available for use campus wide on Otago University’s TAH License:
To learn more about each of these products, please visit: http://www.mathworks.com/products Contact your IT department if you want to install MATLAB on your University owned machine.
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Register your interest to attend a free MATLAB for Beginners Workshop at the University of Otago in 2012HRS recently presented a two hour seminar to staff and students at the University of Otago introducing MATLAB and related resources to new and current users. As part of our continued support for Otago, HRS will also present a free hands-on workshop in 2012 to help new users get [ Back to top ]
University of Auckland Student places second in International Simulink Student Challenge
Second Place went to Jonny Lin from University of Auckland who won US$300 for his entry: "Renewable Energy System for Rural Households." Third Place went to Jared Frank from Polytechnic Institute of New York University who won $200 for his entry: "iPhone-Controlled Laboratory." You can view all entries at: http://www.youtube.com/playlist?list=PLFBE7DBBD466439DB
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2011 New Zealand Statistics Association Conference Student Prize ResultsCongratulations to the winners of the student prizes at the 2011 New Zealand Statistics Association Conference, which were sponsored by Hoare Research Software: First Place went to Jing Liu from the University of Auckland for his presentation on ‘Diffusion approximation and maximum entropy’. Third place was tied between Sam McKechnie from the University of Auckland for his presentation on ‘The potential of life-history models of Coho salmon dynamics’, and Peter Green from the University of Otago for his presentation on ‘Sequential analysis of the Moran Process’. Please visit the NZSA website to view a complete list of previous winners: http://stats.org.nz/HRS_student_prizes.shtml
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Product NewsMaplesoft launches Maple Player for iPad
Maplesoft recently announced the release of the Maple Player for iPad, an application for the iPad that lets users view and interact with documents created in desktop Maple. This release is the first step in a plan to increase support for Maplesoft technology on this platform. The Maple Player for iPad takes advantage of the powerful Maple computation engine, so users can enter values, move sliders, and click buttons to perform calculations and visualise the results. It comes with a collection This version of the Maple Player provides sample documents that are bundled with the application. In the next phase, users will be able to access a much wider collection of documents from an online repository. Ultimately, they will be able to use any Maple document on the iPad, whether distributed by Maplesoft, contributed by the Maple community, or authored by themselves. "The iPad is an increasingly important platform for many of our customers," says Dr. Laurent Bernardin, Executive Vice-President and Chief Scientist at Maplesoft. "The Maple Player can be used to liven up a classroom and provide additional insight to students outside of class. As the technology evolves, we see the Maple Player soon becoming an integral part of the mathematics education experience." The Maple Player is available for free from the App Store, and can be used by everyone. A copy of desktop Maple is not required to use the Maple Player. For more information about Maplesoft’s vision for the iPad, read "Maple and the iPad" by Dr. Laurent Bernardin.
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The Top 7 Unique Features of MapleSim
For more information, visit:
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ChemDraw for Excel
Chemically-intelligent Excel spreadsheets are a powerful tool in the day-to-day work of scientists in the pharmaceutical, biotech, and chemical industries. CambridgeSoft has released a new version of ChemDraw/Excel with a new set of features that make it one of the most powerful tools on the market for manipulating chemical lists:
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Product ArticlesFree Software?A lot of people ask Ray why they should buy software when they can get it for free. And his answer is always the same - do you put a value on your time?
Most organisations charge the time of their staff at $100 or more dollars per hour, so that any software that reduces the time taken by a couple of days has immediately saved $1000. It is not hard to save many thousands of dollars per year, much more than the cost of the software investment. Another factor is even more important in many situations - the quality of the work done in the project. Even though free (or, like Excel, virtually free) software may do the basic calculations or analysis, it usually does not have the convenient user interface that ensures you do not ignore important factors, and does not have the on-line help that allows you to use the software correctly. In some case, like MATLAB, the commercial product has pre-programmed, tested routines that you can just pick up and use with confidence, instead of developing your own or getting something from another user who does not fully understand your problem. You probably spend significant money on a quality phone or computer - maybe the software tools you use need to be regarded in the same way?
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Real-Time Simulation of Physical Systems Using Simscape Replacing a physical system like a vehicle, plane, or robot with a real-time simulation of a virtual system drastically reduces the cost of testing control software and hardware. In real-time simulation, the inputs and outputs in the virtual world of simulation are read or updated synchronously with the real world. When the simulation time reaches 5, 50, or 500 seconds, exactly the same amount of time has passed in the real world. Testing can take place 24 hours a day, 7 days a week, under conditions that would damage equipment or injure personnel, and it can begin well before physical prototypes are available. Real-time simulation of physical systems requires finding a combination of model complexity, solver type, solver settings, and simulation hardware that permits execution in real time and delivers results sufficiently close to the results obtained from desktop simulation. Changing these items will often speed up the simulation but reduce the accuracy, or vice-versa. Simscape provides several capabilities that make it easier to configure your models for real-time simulation. This article shows how to configure a Simscape model of a pneumatic actuation system for real-time simulation. (Figure 1). The steps described apply regardless of the real-time hardware used.
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GPU Programming in MATLAB Multicore machines and hyper-threading technology have enabled scientists, engineers, and financial analysts to speed up computationally intensive applications in a variety of disciplines. Today, another type of hardware promises even higher computational performance: the graphics processing unit (GPU). Originally used to accelerate graphics rendering, GPUs are increasingly applied to scientific calculations. Unlike a traditional CPU, which includes no more than a handful of cores, a GPU has a massively parallel array of integer and floating-point processors, as well as dedicated, high-speed memory. A typical GPU comprises hundreds of these smaller processors (Figure 1). Comparison of the number of cores on a CPU system and a GPU.The greatly increased throughput made possible by a GPU, however, comes at a cost. First, memory access becomes a much more likely bottleneck for your calculations. Data must be sent from the CPU to the GPU before calculation and then retrieved from it afterwards. Because a GPU is attached to the host CPU via the PCI Express bus, the memory access is slower than with a traditional CPU. This means that your overall computational speedup is limited by the amount of data transfer that occurs in your algorithm. Second, programming for GPUs in C or Fortran requires a different mental model and a skill set that can be difficult and time-consuming to acquire. Additionally, you must spend time fine-tuning your code for your specific GPU to optimise your applications for peak performance. This article demonstrates features in Parallel Computing Toolbox that enable you to run your MATLAB code on a GPU by making a few simple changes to your code. We illustrate this approach by solving a second-order wave equation using spectral methods.
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Forecasting 101: How to Forecast Data Containing Unusual Demand Periods
To read the full article, visit:
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CLC bio and BioBase integrate genomeCLC bio and BIOBASE integrate genome informatics framework with Genome Trax databases Bioinformatics Specialist at CLC bio, Dr. Anika Joecker, adds, "For example in a re-sequencing workflow, once you have done your mapping, read removal, SNP/DIP detection, and structural variation detection, you're typically looking for the interesting, disease related mutations. This plug-in adds several tracks to a Genomics Gateway trackset, for instance a track for variations found in inherited diseases - the HGMD database - and one track for gene-disease relations. Based on that you can filter your variations to find the ones which are probably causing the disease - simple, yet very efficient!" Genome Trax license holders will have access to the data in BIOBASE's online databases, including 3,000+ regulatory sites from TRANSFAC, 80,000+ disease-linked mutations from HGMD Professional, 600,000+ ChIP-Seq fragments with best binding site predictions, Post Translational Modifications (PTMs), and Transcription Start Sites (TSSs). The plug-in that integrates these expert-curated biological databases with CLC bio's award-winning platform is free of charge. CLC bio's Genomics Gateway focuses on comparative filtering of genomic variations, giving scientists a fast and easy way to do functional classification and filtering of SNPs and other kinds of genomic variations, using multiple data sources, including external public databases. This framework offers users convenient and efficient downstream analyses that can easily be combined with existing knowledge. About BIOBASE About CLC bio
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@RISK Article: Using Simulation Statistics Functions@RISK statistics functions return a desired statistic on simulation results or an input @RISK statistics functions include all standard statistics plus percentiles and targets (for example, =RiskPercentile(A10,.99) returns the 99th percentile of the simulated distribution). @RISK statistics functions can be used the way you would use any standard Excel function. @RISK statistics functions that return a desired statistic on a simulation input distribution have the identifier Theo in the function name. For example, the function RiskTheoMean(A10) returns the mean of the probability distribution in the cell A10.
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