Last week, we announced updates across our suite of informatics software! These improvements deliver enhanced functionality to a number of offerings on the ACD/Spectrus and ACD/Percepta Platforms. The updates also includes the introduction of our all-new metabolite identification solution, MetaSense.
We’ve been doing a lot of thinking about the value of Computer Assisted Structure Elucidation (CASE) around here lately. There’s a good reason for that: we’ve been doing a lot of work on CASE for the last 18 years, and the work is only accelerating. So it’s worthwhile to reassess every now and then. Much goes into improving software like this to take on ever-more complex tasks, and to do those tasks ever more effectively.
There is widespread agreement that going digital will help us manage data better, make us more productive, more innovative and ultimately enable us to make smarter decisions—all the way from the bench to the boardroom. Yet, we remain relatively early in the transition from paper to paperless lab, despite the need for organizations to become more innovative and more competitive.
Join us at ASMS 2016 where we announce the launch of a new solution related to metabolite identification that I’m personally very excited about sharing with the scientific community. In addition to the launch of our new product, ACD/Labs will be exhibiting at booth #701, participating in a presentation, and hosting a seminar.
The R&D industry has been evolving for decades to make the process of discovering new compounds and formulations in the laboratory easier and more effective. Today, innovative trends, focused predominantly around data and technology, encourage changes that aim to improve efficiencies across the industry. A couple of current trends we’re observing include open innovation (or externalization), as well as big data.
With the help of ACD/Labs’ software, PharmaSea researchers have dereplicated more than 300 extracts, and, as a result, have identified 10 novel compounds that merit further research. Prof. Marcel Jaspars, head of the Marine Biodiscovery Centre at the University of Aberdeen, and project leader of PharmaSea, discusses the PharmaSea project in detail here.
At ACD/Labs, we have spent two decades working with customer organizations to support effective analytical data management. While we are privy to the problems of our customers, we wondered how the wider R&D community has been addressing analytical data management and what challenges remained. With that in mind, we decided to conduct a survey last year to gather feedback from scientists (62% of survey respondents), managers, directors, and executives (26%), as well as IT and other professionals (12%) to better understand the R&D landscape.
Join us at PITTCON 2016 in Atlanta, Georgia, as we participate in a number of presentations, network with our fellow scientists and discuss upcoming mixture analysis capabilities on the ACD/Spectrus Platform.
The 'Amazon Effect' describes how online shopping giant, Amazon, sorts data and matches similar products to one another—providing customers with a customized list of products they may be interested in. In laboratory informatics, scientists organize and analyze data in a very similar way. By using software like ACD/Spectrus Platform, scientists—from different laboratories using a variety of instruments—can combine and process their large data sets in a single interface that delivers quality results.
En route to SLAS 2016 in San Diego to talk about ‘Tackling Obstacles to Analytical Knowledge Externalization’ I was struck by the congruity of the breathtaking road I was taking with the topic planned for the Informatics–Data Wrangling session. National Geographic noted the road as “An exhilarating driving experience…In places, the road has narrow shoulders and sharp drop-offs, so stay alert”. The Informatics landscapes of modern science-based organizations also offer remarkable challenges to navigate.