RESEARCH TRIANGLE PARK, N.C.—ArtusLabs Inc. recently announced a partnership with the David H. Murdock Research Institute (DHMRI) "to enable groundbreaking research" at the North Carolina Research Campus (NCRC), with the partnership focusing on the implementation of ArtusLabs' Ensemble Electronic Lab Notebook (E2LN) platform.
DHMRI will use E2LN—a Web-deployed, third-generation ELN that blends high usability at the bench with collaboration technologies—to capture experimental data, results and decision support needs for each of its laboratories. This is expected to enhance the availability of data and documents for use for critical scientific decision making, as well as supporting the disaster recovery needs of DHMRI.
"Ensemble is an incredibly powerful system and is unique in that it can support both scientific and business processes," says Valerie Risch, chief information officer of DHMRI. "We are excited about working with ArtusLabs as we continue to explore other capabilities within the Ensemble platform."
Ensemble for Life Science blends social networking, publication functions and data mining to assist in the communication and management needs for both internal and external research efforts at organizations, according to Robin Smith, CEO of ArtusLabs.
Her company describes Ensemble as "an on-demand software platform that brings the best of Web 2.0 technologies inside a private and secure business network. Ensemble simplifies data management and collaboration for scientifically oriented companies, and is the first scientifically aware cloud computing system."
Having a system that handles a diverse and multidisciplinary set of needs is important for DHMRI, considering that the institute's stated philosophy is that "no one science or platform can provide the most comprehensive analysis to allow confident decision making." To that end, DHMRI's applies a multidisciplinary and integrated approach that includes genomics, metabolomics, microscopy, nuclear magnetic resonance imaging and proteomics.
"Data management and analyses are critical components, necessary to ensure we meet the requirements of our diverse scientific customers. In a single platform, Ensemble provides a unified environment powering both the Electronic Lab Notebook as well as a diversified system for handling disaster recovery information and documentation," says said Mark Burke, director of informatics of DHMRI. "In addition, Ensemble ELN provides us a critical platform that will support the changing needs of our diverse set of labs from 'omics to imaging."
"We couldn't be more excited to partner with DHMRI," Smith says. "Their mission of supporting groundbreaking research using a trans-disciplinary, multi-institutional collaborative research perfectly aligns with the key differentiators of Ensemble Electronic Lab Notebook."
ArtusLabs launches system for separating compounds
RESEARCH TRIANGLE PARK, N.C.—ArtusLabs Inc. in late January announced the launch of Method Genius, a system that allows analytical scientists to identify the best ways for separating compounds, developing methods and deconvoluting degradation products.
Analytical scientists employ an empirical process for finding the best methods for separating compounds. Method Genius utilizes the core algorithms of ArtusLabs' platform technology, Ensemble for Life Science, to connect methods, chemical structures and parameters. This data is typically scattered among various analytical, compound registry systems and report data typically stored in SDMS systems. Method Genius takes this connectivity and "learns" what is the most efficient process to employ and suggests to the scientist what to try, says Robin Smith, CEO of ArtusLabs.
"With Method Genius, analytical organizations have the tool they need to shortcut the current methodologies that go into finding the best method to separate compounds. We have seen a reduction of almost 80 percent in the time in takes for a scientist to find the best method and move on to their experiment," Smith says. "Method Genius solves a real need to slash the amount of time it takes an analytical scientist to find the best methods for separation."
