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Burrows-Wheeler Transform (Ep 4, Compressor Head) Google

Google Developers · Youtube · 34 HN points · 1 HN comments
HN Theater has aggregated all Hacker News stories and comments that mention Google Developers's video "Burrows-Wheeler Transform (Ep 4, Compressor Head) Google".
Youtube Summary
In The Burrows-Wheeler Transform (Ep 4, Compressor Head), Colt McAnlis takes a look at Burrows-Wheeler Transform, a data transformation algorithm that's unlike anything else in the compression world. Mike Burrows, co-inventor of this weird, wonderful algorithm joins us as we explore how it works and its unexpected applications.

Watch more Compressor Head here:

http://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H

Magnus Hyttsten enthusiastically lends a hand. See Magnus's videos here:

https://www.youtube.com/playlist?list=PLOU2XLYxmsILXKTDNlQVnsgQlqRsGf1_e
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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this video.
This is a fun video from a series on compression that explains it well, and features Mike Burrows:

https://youtu.be/4WRANhDiSHM

He shares the origin of the algorithm as well as a story about how it was first published.

The Compressor Head video series is the best introduction to compression that I’ve found.

visarga
That was great. It's one of the greatest things about YouTube that you can find such videos on it.
Dec 12, 2015 · 34 points, 5 comments · submitted by bane
dkural
This algorithm is widely used in genomics. Here's an explanation by Ben Langmead, a computational biologist, with some Python code as well: https://www.youtube.com/watch?v=4n7NPk5lwbI

The original paper, interestingly, only published as a report:

http://www.hpl.hp.com/techreports/Compaq-DEC/SRC-RR-124.pdf

dalke
Fun! Now I'm going to watch the whole 'Compressor Head' series. Thanks, Googler Developers!
jldugger
Finally, an explanation that kinda sorta makes sense of why it's reversable.
dnautics
if only it explained how it works!
daemonk
Wow this is a great video. I was able to implement a simple python version of the BWT as described in the video here:

https://gist.github.com/damiankao/908fe1fd6562dc75f40c

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