Significant Savings by Utilizing Freezerworks as LIMS
News Feb 02, 2016
The case study was developed from a presentation by Genocea staff at a recent Freezerworks Users Education conference.
“We were amazed and gratified to learn Genocea was able to achieve such efficiencies by utilizing Freezerworks to its fullest. Naturally we are excited to offer a case study on how it is done for other small biotechs as well as startups looking for a similar solution,” Marketing VP Rick Michels explained.
“This is an example of how well designed software in the hands of these companies can move the ball forward in drug development without spending an arm and a leg in software development costs. These companies are staffed and driven by smart, capable scientists who know what’s needed to manage their data. What they need and what their companies are looking for are flexible and affordable software tools to get the job done: on time and under budget.” Michels added.
The case study is available on the further information link below.
Computer scientists at Carnegie Mellon University say neural networks and supervised machine learning techniques can efficiently characterize cells that have been studied using single cell RNA-sequencing (scRNA-seq). This finding could help researchers identify new cell subtypes and differentiate between healthy and diseased cells.