I’ve just released a new homepage with a succinct summary of what you can do at DNA Painter. In addition to this, I’m presenting this new page answering some of the questions that come up again and again.
As someone who logs on to each DNA testing site several times per week, I’m offering up my thoughts on the strengths and weaknesses of each.
This post outlines how I recently evaluated shared segments when investigating a new DNA match. I also considered the conclusions I can draw by comparing the new match with other close relatives who have tested.
I have worked with computers almost every day since I started working in 1995. I’m aware that this isn’t the case for everyone, and that I inevitably have a tendency to gloss over certain technical details when explaining DNA Painter to people. This article is an attempt to correct this, with a guide to every step involved in mapping a match onto your chromosome map.
Here is a step-by-step guide on how to register at DNA Painter by creating a free user account. Step 1: Navigate to the form Go to dnapainter.com and click ‘Register’ in the top right corner in order to reach the registration page. Step 2: Fill out the form to register at DNA Painter Enter your
In this follow-up article I discuss inferred chromosome mapping in more detail, also introducing a new tool I’ve created to make the process easier.
This article introduces a simple new tool for calculating the number of cMs in a segment of DNA
Chromosome mapping has a dedicated following, but it might not be for everyone. So why map your chromosomes? In this article I’ll attempt to explain it concisely so you can figure out if it’s worth your time.
Since DNA Painter first launched in 2017, lots of new features have been added. Some longstanding features are also quite well hidden! My thanks go out to everyone who has made recommendations. Here is quick run-through of some features you might have missed within chromosome maps.
The day has arrived! Version 4 of the Shared cM project is now out, and there’s an updated shared cM tool as well. Since 2015, Blaine Bettinger has been crowd-sourcing data on the number of centimorgans (cMs) of DNA shared for known relationships. The result is an incredibly useful dataset that helps genealogists start to