The One-Stop Guide to Genomic Data, Courtesy of Front Line Genomics
Our new and free report on all things genomic data: Biodata Analysis and Management – Genome Analytics, Interoperability, and Data Life Cycle, is now available!
Building on top of the wealth of information contained in our Genomic Data 101 guide, this guide has new chapters, information, and interviews to make sure readers stay completely up-to-date with the ever-evolving field of genomic data.
Since the publication of our Genomic Data 101 report in 2018, the field has raced forward in terms of complexity and knowledge. It’s vital that professionals keep up with that understanding: the rate of acceleration being seen now means anyone not savvy with the latest developments risks being left behind by an ever-increasing wealth of knowledge.
That’s where our new report comes in. Moving away from a beginners’ guide towards something much more comprehensive, the Biodata Analysis and Management report gives greater depth and knowledge on all the old areas of genomic data, as well as new chapters on the topics professionals most need to know.
The report’s new chapter on data discoverability is vital for researchers looking to share and find genomic information: beginning with a discussion about what data discoverability is and – more importantly – why genomic data is so difficult to find, the chapter sets out the many solutions to this issue currently being explored. We look at the global data repositories that researchers can use to pinpoint useful information and where they can be found, and discuss Repositive, a company making huge headway in pushing data towards a more discoverable era.
Integration and Interoperability
In our new chapter on data integration and interoperability, we discuss the nature of those two terms and their relationship to one another, something even experts sometimes confuse. The different systems to facilitate greater interoperability are explored, from data warehousing to data lakes. The report also looks at the role of structure and unstructured data, and how Natural Language Processing is easing much of the workload life science professionals face every day in ensuring their data is being used meaningfully.
AI and Machine Learning
The new and greatly improved chapter on AI and machine learning has a greater focus not only on understanding what AI and ML are, but also how those algorithms are applied and used, particularly in the genomics sector. There is also an added section on privacy concerns in AI and ML, featuring a fascinating new interview with bioinformatics expert Paul Agapow.
These are only a few of the reasons to read the new Biodata Analysis and Management report, which we’ve worked hard over the last year to create something that gives professionals real value and useful information for free: we think you’ll agree that it doesn’t disappoint.