GenoLogics Life Sciences Software, a provider of laboratory information management systems (LIMS), has introduced Clarity LIMS
GenoLogics has released a pre-configured version of its LIMS software for Illumina next-generation sequencing (NGS) systems and TruSeq sample prep kits
GenoLogics' Geneus lab and data management solution will be integrated with the JMP Genomics statistical discovery application from SAS to provide a comprehensive system for managing and analysing large genomic data sets.
GenoLogics provides discovery and biomedical solutions that can be implemented across multiple labs and support translational medicine and systems biology initiatives. Our vision is to catalyze life sciences research with a collaborative data management software platform, advancing the early detection, prevention, and treatment of disease.
GenoLogics has released its lab and data management system for genomics research, Geneus 4.0, with many enhancements including the ability to handle NextGen sequencing workflows.
GenoLogics has released Proteus 4.0, its lab and scientific data management system for proteomics.
GenoLogics is developing an integrated suite of biorepository and biomedical informatics products.
GenoLogics has launched Proteus-Analytics, a new tightly integrated proteomics solution that combines the Proteus lab and data management solution from GenoLogics with Proteome Softwares ScaffoldBatch Analysis System
Geneus provides geneology for a sample processed through an end-to-end gene expression workflow. Each process step performed is recorded in the geneology tree.
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
