Thermo Electron has extended its protein identification software package with BioWorks 3.3, which enables automated quantitative analysis of iTRAQ, SILAC and ICAT labelled samples, as well as label-free quantitation techniques.
Thermo Electron Corporation provides an independent update for instrument control, allowing laboratories to add the latest instrumentation and interface it with Thermos Atlas chromatography data system (CDS).
Thermo Electron Corporation has updated Darwin LIMS to allow easier integration. Darwin LIMS is a commercial-off-the-shelf (COTS) laboratory information management system (LIMS) designed specifically for pharmaceutical manufacturing R&D and QA/QC.
Thermo Electron has developed two new versions of its reporting software packages, EnviroLab Forms 2.0 and ToxLab Forms 2.0,which offer scientists workflow-oriented approaches to GC/MS analyses.
Thermo Electron has added several new software products to its Proteomics application suite, including SIEVE, a label-free differential expression analysis software, BioWorks 3.3, Tissue Imaging and ProSightPC.
Thermo Electron has re-engineered SampleManager LIMS 9.0, an updated version of its flagship laboratory information management system (LIMS) for global enterprises.
Thermo Electron has updated its LIMS for global enterprises. SampleManager Version 9.0 is built on the Microsoft .NET platform, incorporates a Service Oriented Architecture, and has a new user interface.
Thermo Electron has launched its QuickQuan software for automating high-throughput LC-MS/MS assays in early drug discovery, to automatically assess new chemical entities (NCEs) in early drug-development assays.
Thermo Electron releases SampleManager to combine collection scheduling, efficient route preparation and other pre-test activities in a single LIMS.
Thermo Electron has developed a new datasheet on the Atlas CDS, available free in PDF or printed format, which addresses the benefits of standardising on a single solution.
Image credit: B-th/Shutterstock.com
A round-up of the latest cooling technologies for scientists using HPC to support their research.
Credit: chayanuphol/Shutterstock
With the proliferation of artificial intelligence (AI) and machine learning (ML), the high-performance computing industry’s increasing workloads are contributing to environmental damage
Credit: Zapp2Photo/Shutterstock
Autonomous vehicles could help to prevent road accidents and save billions in damages across the world each year.
Credit: dotshock/Shutterstock
The pursuit of exascale HPC systems has been a target of the HPC community since the first petaflop system broke into the Top500 in the June 2008 edition of the biannual list of the fastest supercomputers based on the Linpack
Credit: Comsol
Simulation software is helping accelerate battery development, writes Gemma Church
Credit: Omelchenko shutterstock
Developing skills to use advanced computing resources such as high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML), and quantum computing is becoming an increasingly important skill set for
