Sample management software provider, Titian Software, has announced the release of Mosaic 5.0, the latest development of the Mosaic software for the management of samples
Arkivum has launched A-Stor Pharma, a digital data archiving service developed specifically to meet the needs of the healthcare and life sciences industries
CLC bio and independent software vendor, BioQL, have announced the release of the MedQL Variant Prioritizer plugin for CLC Genomics Workbench
Genedata has released its Expressionist MSX software for academic proteomics and metabolomics research
CLC bio has released version 5.5 of its CLC Genomics Workbench desktop software, supporting a complete resequencing workflow from read mapping over variant detection to downstream analysis
PerkinElmer has launched its Search Genius application, a solution designed for the Microsoft SharePoint platform that provides researchers with a single software system to search, save and share unstructured data stored throughout their organisation
Ensemble for QA/QC, an integrated informatics solution tailored to decrease procedural errors and accelerate data review and results delivery of quality assurance (QA) and quality control (QC) laboratories, has been released
Genedata has released Genedata Biologics 2.5, the latest version of its enterprise solution for biologics R&D
The latest version of Qlucore's data analysis software has been released
HALIA, a new middleware interface for clinical chemistry, microbiology and molecular biology labs, has been introduced by NoemaLife
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
