Ten Guidelines for Adopting Ontologies To Create FAIRer Scientific Data
Deciding to implement ontologies into your data management practices can be daunting and a difficult sell to business stakeholders. This article outlines the challenges and offers 10 guidelines for kickstarting your ontologies journey.
Faster Approaches to Vaccine Design
Download this listicle to learn more about the technologies that have advanced vaccine design including reverse vaccinology 2.0, comparative and subtractive genomics, immunoproteomics and immunopeptidomics, and computational approaches.
Standardizing Analytical Data With AnIML
This listicle presents AnIML — an open XML-based, vendor-neutral and human-readable file format that can be used to store data from different analytical instruments. This facilitates the achievement of FAIR (i.e., findable, accessible, interoperable and reusable) data which is a prerequisite for proper data management, data stewardship and a successful digital transformation strategy.
Five Ways Pharma Companies Can Keep Up With Demand
This listicle will explore five key risk factors pharmaceutical facilities need to understand, which they can then ultimately renovate to improve output.
Assessing Kinetics in Drug Discovery
Download this listicle to learn more about the importance of drug kinetics, key experimental techniques and computational modeling tools.
Five Advances in Fragment-Based Drug Discovery
Read this listicle to discover recent advancements in fragment-based screening including fragment tailoring, affinity mass spectrometry-based fragment screening and computational approaches using fragments.
Sample Security Within the Biopharmaceutical Industry
Download this free listicle to learn more about how to optimize sample control and security in biopharma laboratories.
Contamination Control During Biopharmaceutical Processing
Download this article to learn more about the strategies for reducing contamination.
Clinical Omics and Mass Spectrometry
Due to its broad-based applicability to detect compounds with a wide range of masses, along with its high sensitivity, mass spectrometry (MS) has been used extensively in a range of omics analyses and applications. In this listicle, we explore the use of MS-based data in a variety of clinical omics settings.
Data Integrity in Research: What Does It Mean and How Do We Achieve It?
Download this listicle to learn about the importance of data integrity in research, data integrity in the digital age and improving data integrity.