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Remember when DNA was the latest, greatest thing in genealogy? This is what’s next…

Bioinformatics is a hybrid discipline, focused on the application of mathemtics and computer and information science to data-mine large collections of genomic data. At Discovering New Ancestors our interest in the field lies in the application of Set Theory and Database Design in the service of genealogical research, and we've emerged as a leader in Genealogical Bioinformatics. You may already be familiar with terms such as "Computational Genealogy" or "Expert Systems"— but whatever you call it, you'll find that our tools and practices will allow you to do more with your DNA test results than you may have thought possible. We're already in the process of breaking down 20-year brick walls with ours! We are fully committed to the belief that genealogical bioinformatics represents the future of genetic genealogy — where the power of AI systems and methods are applied to solve genealogical problems in ways we have only begun to explore!
Breaking News! Discovering New Ancestors' founder Arun Konanur was recently awarded a 2026 Continuing Genealogical Research Grant by the American Society of Genealogists in support of the preparation of instructional materials pertaining to our research in Genealogical Bioinformatics. Watch this space for further information, or check our Genealogical Bioinformatics FaceBook Group. Our work in Genealogical Bioinformatics has received general acclaim in the genetic genealogy community:
  • "[Discovering New Ancestors] is doing things with DNA that no one else is doing."
  • "Cutting edge analysis of DNA results when standard methods fail or are incomplete"
  • "This is the real deal: an exceptional opportunity to advance tools and acquire targeted instruction for practitioners who probably haven't mastered this."
  • "Significant contribution to the field... Solid methodology"
Discovering New Ancestors has developed 5 (yes, five!) patent-pending bioinformatic processes for the benefit of the genealogical community, applying information engineering strategies to long-standing problems in genetic genealogy — such as endogamy and the utility of shared matches:
CMA (Correlated Multiphasic Analysis) uses your DNA matches — and the DNA matches of your known relations — to generate a list of DNA matches connected to you through the ancestors of your selected "brick wall"
Reverse-CMA takes the results of your CMA process and identifies the ancestral line which connects a selected individual to your CMA family members!
AASK (Axiomatic Ancestral Stratification by Kinship) uses the list of DNA matches created by CMA — or your entire match list — and the full sets of DNA matches of everyone on your list — to hierarchically organize these matches branch by branch, generation by generation, without creating so much as a single family tree!
Can bioinformatics address endogamy? Our new Endogamic Tailoring protocol employs our SMD process to do just that!
SMD (Shared Match Differentiation) provides genealogists — and DNA testing providers — with an efficient, computationally lightweight method for differentiating "Favorable" from "Unfavorable" Shared Match Trios!
With the exception of Endogamic Tailoring, each of our processes is available as a free utility that runs in any version of Microsoft Excel which supports VBA (Visual Basic for Applications), so visit the linked pages above for more information and downloadable resources! Also, be sure to check out our Genealogical Bioinformatics group on FaceBook for a lively discussion of topics germane to the field and other resources! Register for our DNA Day talk (April 25, 2026) at the Genealogical Forum of Oregon!
The first 15 minutes of the following video presentation provides an overview of Genealogical Bioinformatics and the field's relationship to Artificial Intelligence. The remainder of the presentation presents the development of the SMD process as a Case Study.
Can Discovering New Ancestors solve your genealogy mysteries? Read what our clients say — or download our Intake Form!