ATL to Exhibit Laboratory Automation and LIMS at VA AWWA/VWEA Good Laboratory Practice Conference 2014
News Jul 12, 2014
Accelerated Technology Laboratories ATL), a premier supplier of Laboratory Data Management Solutions, will be exhibiting at the 2014 VA AWWA/VWEA GLP Conference, July 28-29, at the Omni Hotel in Charlottesville, VA.
Their Sample Master and TITAN Laboratory Data Management solutions are designed to support Good Laboratory Practices (GLP) and assist with maintaining compliance data and quality assurance processes. These tools aid in organizing and storing analytical data, and enabling the conversion of data from information to knowledge, while facilitating regulatory compliance goals. ATL's software solutions identify each sample, store metadata and sample life cycle transactions, and uniquely generate labels and bar codes. There is full support for integration with various ERP systems.
ATL will demonstrate Sample Master v10 - a 100 percent web-based LIMS, built on .NET framework. Sample Master v10 boasts a brand new look and feel, perfect for those organizations with multiple US locations or global operations, and a need to utilize mobile technology (tablets; iPad, Samsung Galaxy, Trimble, etc.). The software will leverage the modularity and user friendliness for which Sample Master® has become known, along with the secure Result Point® web portal.
ATL will also feature its revolutionary Laboratory Enterprise Resource Planning (ERP) system, TITAN®, representing the next generation in Laboratory Information Management Solutions. TITAN® offers a feature-rich user experience that simplifies and promotes automation and productivity through streamlined work processes. TITAN® is highly configurable and provides users the ability to tailor LIMS business rules to match their organizations' requirements, rather than modifying their way of doing business to fit a software package.
Additionally, ATL will exhibit the iMobile Application for tablets, smart phones and rugged laptops. Users of this application can view chain of custody, collection list, enter results for samples that were previously scheduled and add new samples "on the fly". Plant, field and laboratory users will benefit from this technology.
Analytical Tool Predicts Disease-Causing GenesNews
Predicting genes that can cause disease due to the production of truncated or altered proteins that take on a new or different function, rather than those that lose their function, is now possible thanks to an international team of researchers that has developed a new analytical tool to effectively and efficiently predict such candidate genes.
Researchers Move Closer to Completely Optical Artificial Neural NetworkNews
Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform a critical function of an electronics-based artificial neural network and could lead to less expensive, faster and more energy efficient ways to perform complex tasks such as speech or image recognition.
Big Data Study Targets Genomic Dark Matter from Ocean Floor to Gut FloraNews
An international team led by computational biologist Fran Supek at IRB Barcelona develop a machine learning method to predict unknown gene functions of microbes.The system examines and compares ‘big data’ available on the metagenomes of human and environmental microbiomes.READ MORE