Andrew Anderson and Graham McGibbon sat down with Jack Rudd, senior editor at Technology Networks, to discuss the issue of data heterogeneity as well as some of the other challenges associated with modern labs and businesses. While there seems to be a general appreciation of the problems related to Big Data, it has become clear that the complications caused by data heterogeneity—or the different types and/or compositions of data—are often overlooked.
The fascinating world of metabolite identification is something I’ve been learning a lot about recently. The process of drug discovery to drug development to meeting regulations, and the complicated (often manual) workflow. My informant is colleague, Richard Lee. An easy-going and friendly guy with a vast resource of information ranging from metabolite research to cheesy chick flicks (don’t tell him I shared the latter). Read on to learn more about his research and what we'll be discussing at ASMS 2017 this week!
If you happen to be at Bio-IT World this year, be sure to stop by booth #423 to meet the ACD/Labs team and learn more about our solutions; including our new impurity profile information management solution Luminata. We’ll be busy with a number of activities in addition to networking with our fellow peers. Read on for an overview of what our team has planned for the show and where you can find us.
PITTCON 2017 was a particularly big event for the ACD/Labs team this year because we were focused on the launch of Luminata, our new informatics solution for comprehensive impurity and characterization management. The five days we spent in Chicago were the culmination of months of hard work across the entire organization, and I’m pleased to say that the launch went off without a hitch. I had the opportunity to meet with the folks at LabTube to talk about ACD/Labs and our vision for Luminata. Watch the video in our post.
Back in 1996, I recall someone saying that prediction software such as ACD/Labs NMR Predictors would eliminate the need to run lab experiments, which would be replaced with “paper chemistry”. Organic chemistry researchers were even more cynical because they believed that nomenclature software - like ACD/Name - would enable students to avoid learning nomenclature rules. Overall, the faculty were concerned that ACD/NMR Predictors and ACD/Name put their jobs at risk. Fast-forward 21 years later, and I find myself a part of the ACD/Labs team that makes all these wonderful things possible.
We welcomed Mark Meyers to ACD/Labs as our new vice president of global sales earlier this year. We’re ecstatic to welcome Mark to our executive team as our company continues to evolve and bring innovative software solutions to our clientele around the world. In his role, Mark will be responsible for leading ACD/Labs’ sales initiatives while overseeing the sales, technical, and services teams.
PANIC 2017 took place at the Sonesta Resort in Hilton Head Island, SC, a few weeks ago. We knew we were in for a treat when we landed in bright sunshine at Savannah airport—quite a contrast from the cold and snow of Toronto. We realized things were a little bit …different in Hilton Head Island when the shuttle driver told us that yes, there are alligators here and we should be a bit careful when walking next to standing water. In fact we saw a couple of them next to the water in ponds on the way to the venue.
Another PITTCON is upon us and we are eager to get the show started! We will be exhibiting at booth #2918, showcasing our solutions and networking with fellow scientists. Additionally, we will be busy with a number of other activities as well as making an exciting announcement about our product pipeline for 2017. Read more about our team’s activities at PITTCON 2017.
In an effort to help separations scientists succeed in 2017, we decided to launch a webinar series aimed at informing the scientific community about how software can assist and improve method development strategies. Hosted by members of the ACD/Labs’ technical and scientific services team—Anne Marie Smith, Brent G. Pautler, and Karim Kassam—the webinar series consists of three 30-minute sessions on a variety of topics relating to method development.
The familiar crop of characters—Spock, Kirk, Uhura, McCoy, Sulu, Scotty, and Checkov—are understandably portrayed by different actors in the 2016 movie than in the origins of the STAR TREK franchise. Science fiction like this offers a view of the future imagined from past and present experience and it made me consider where data science is going, whether boldly or otherwise, and also, where it came from.