Genome Toolkit. Part 3: building statistical data (k-mer frequency)

Biologists can use k-mer analysis to identify conserved sequences across different species. This can help them to understand the evolutionary relationships between different organisms and identify potentially functional sequences that have been conserved over time. In this video, we will add such an algorithm to our Genome Toolkit.
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[@louis-philippechaumont8400]

You explain your codes and concepts very well. Your DNA and genome toolkit videos are a great introduction in Python for a biologist!

[@wenjunxie372]

Very cool videos. Thank you for making and sharing them. Look forward to the next one in this series.

[@Mossy_Bark]

Haven't reached this video yet, but seeing as you said this would be a longer series than DNA toolkit, I presume you're on some sort of hiatus. Just here to say your videos are a great benefit to all of us watching, hope you resume this series sometime soon.

[@badershalata1951]

Good tutorial, I wanted to ask if I wanted to build a project that does DNA alignment, do you have any recommendations on tutorials or step by steps? (Ideally I would prefer a tutorial of yours - enjoyed your videos)

[@rebelScience]

Hey! There will be a sequence alignment in the Genome Toolkit, but in a few videos. No ETA at the moment, unfortunately.

[@wongqingxin7613]

Is this tutorial closed??

[@waltermorgan7628]

Promo-SM