DNAStar has released Lasergene 9.1, an upgrade to its flagship desktop software suite for molecular biologists
Sequence assembly software SeqMan NGen 3 has been released by DNAStar
DNAStar has announced the release of ArrayStar 4, including QSeq, as an updated microarray and next-generation sequencing technology software suite
DNAStar has released Lasergene v8.1, the latest version of its sequence analysis software, incorporating a range of new features
DNAStar has launched its latest version of Next-Gen sequence assembly software for desktop computers. NGen2.0 is the company's third upgrade of NGS software in the past 18 months
DNAStar has released its latest version of visualisation software, GenVision v2.0, with expanded capabilities for creating publication-quality images depicting large quantities of genomic information
DNAStar has upgraded its gene expression analysis software, ArrayStar v3.0, bringing new functionality in the areas of normalisation, gene ontology and data transformations that can be useful to advanced users
DNAStar has released v8.0 of Lasergene, its sequence analysis software that now features expanded assembly and visualisation capabilities for traditional and next-generation sequencing users.
DNAstar has launched a bioinformatics software tool to help molecular biologists with Next Generation sequencing, which is the assembly of data obtained from the use of new DNA sequencing platforms.
DNAStar has released ArrayStar v2.0, its new software for microarray gene expression analysis that provides visualisation and statistical analysis tools to permit researchers to rapidly and easily track changes in gene expression levels.
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
