The Behold User Forum
Login to participate
  
Register   Lost ID/password?

Louis Kessler’s Behold Blog     The Behold User Forum

Search Blog Entries

  
Results 71 - 80 of 178 blog entries.   67 blog comments.   5 forum posts.   250 total.
71. 

Advanced Genetic Genealogy - Blog entry by lkessler - 13 Apr 2019

... course. You’ll have to have experience and the knowledge of working with your DNA to fully grasp what is said. Let’s see what can be learned. 1. Jim Bartlett talks about Segment Triangulation. Now you have a choice. You can either spend hundreds of hours like I did delving to understand every detail in his four years of blog posts on his segmentology.org ...
72. 

Combine Kits into One Superkit on GEDmatch Genesis - Blog entry by lkessler - 6 Apr 2019

... GEDmatch Genesis, and reported the results in my post: The Benefits of Combining Your DNA Raw Data. I thought I’d try the new GEDmatch Genesis application to see if it produces essentially the same result. I selected the Tier 1 “Combine mupltiple kits into 1 superkit” application and it gave the the option to select up to 4 kits that are already uploaded. I had all ...
73. 

Genetic Affairs Clustering at 23andMe - Blog entry by lkessler - 20 Mar 2019

... author of Genetic Affairs and the new clustering algorithm implemented by MyHeritage DNA, posted on the Genetic Genealogy Tips & Techniques group on Facebook. He announced some improvements to his AutoCluster analysis on Genetic Affairs for 23andMe matches. He posted: A well known feature for the DNA relatives list on 23andme are ...
74. 

Small Segment Matches - Blog entry by lkessler - 19 Mar 2019

... my alleles matches one of Blaine’s alleles, but due to misreads, GEDmatch and other DNA companies usually allow for a mismatch every now and then, maybe one or two every 100 or so. Also there are usually a few percent no-calls (unreadable SNPs) that are always treated as a match. Maybe I have 15 no-calls and Blaine has 15 over those 733 SNPs, so that’s 30 positions that ...
75. 

Inferred Segment Matches - Blog entry by lkessler - 7 Mar 2019

When we match our DNA to other people to find common ancestors, we are comparing segments of DNA that match the other people. That’s only logical, isn’t it. Well, interestingly enough, there’s a technique that will help you determine which ancestors your
76. 

MyHeritage New AutoClustering Feature is now Live - Blog entry by lkessler - 1 Mar 2019

Another new feature announced during #RootsTech is the MyHeritage DNA integration of Evert-Jan Blom’s AutoClustering method. MyHeritage has become the first major DNA service to offer clustering. MyHeritage’s blog post Introducing AutoClusters for DNA Matches was posted yesterday ...
77. 

DNA meets Trees at AncestryDNA and MyHeritage DNA - Blog entry by lkessler - 27 Feb 2019

... new features on their site. So it is not ironic at all that today, both AncestryDNA and MyHeritage DNA announced a new feature that matches up your tree with the trees of your DNA matches and shows you the results. DNA matching is a tool to assist your genealogy ...
78. 

My Whole Genome Sequencing. The VCF File - Blog entry by lkessler - 6 Feb 2019

... of most interest, because it is that file that contains the autosomal SNP data that DNA testing companies use for genealogical matching. These files are in gz compressed format. When expanded (to 869 MB and 224 MB) they are standard text files and a bit of the individual SNP file looks like this: My VCF file has a header section of 141 lines. The first line of the ...
79. 

Comparing Genetic Clusters - Blog entry by lkessler - 22 Jan 2019

... Genetic Affairs – by Evert-Jan Blom Collins’ Leeds Method 3D – at DNAGedcom Shared Clustering – by Jonathan Brecher Pretty pictures are nice to look at. But what we really want is to be able use the results. The goal here is to see if these cluster algorithms actually do segment your family into groups that are related through an ancestor you can ...
80. 

Genetic Clusters and DNAGedcom - Blog entry by lkessler - 20 Jan 2019

... jumping on board using genetic clustering techniques to help them partition their DNA matches into their ancestral origins. The basic idea is to compare all the people that each of your DNA matches also match to. These are not segment matches being compared, but are people who are considered to be