Intro: Indexing
A broad introduction to ideas in indexing and their relationship to queries and compression. ── Course & channel links ── Course playlist: Burrows-Wheeler Indexing • Burrows-Wheeler Indexing ── About the author ── Ben Langmead is a Professor of Computer Science at Johns Hopkins University, where his research spans bioinformatics, computational biology, and data-intensive science. He is the author of Bowtie and Bowtie 2; his group has also developed software like Kraken 2 and resources like recount3 and Index Zone, as well as methods for pangenome indexing and querying, based on e.g. the r-index and move structure. His group's methods have been cited over 130,000 times, and he is the winner of awards including an NSF CAREER award, a Sloan Research Fellowship, the Benjamin Franklin award for contributions to open access, and multiple awards for teaching and mentorship. Ben is the founder and principal of InOrder Labs LLC (https://inorderlabs.com), an expert consulting firm in bioinformatics and computational biology. Channel: / @benlangmead Teaching materials: https://langmead-lab.org/teaching.html

Entropy & coding

Burrows-Wheeler Transform

IBM Data Analyst Complete Course | Data Analyst Tutorial For Beginners,

FM Index, part 2: efficient matching

How To Think SO CLEARLY People Assume You're A Genius

The 7 Reasons Most Machine Learning Funds Fail Marcos Lopez de Prado from QuantCon 2018

The Strange Math That Predicts (Almost) Anything

Burrows-Wheeler Transform, part 1

de Bruijn Graph (DBG) based assembly #swayamprabha #ch17sp

SUMMER DEEP HOUSE Musics Mix 2026 ♫ Bruno Mars, Lady Gaga,Dua Lipa, Adele,Ed Sheeran, The Weeknd #02

FM Index

Why This Is the Most Exciting Time to Be Human | Ken Ono, Axiom Math

Bitvectors and rank/select

Burrows-Wheeler Transform, part 2

Harvard CS50’s Intro to Databases with SQL – Full University Course

Overlap-Layout-Consensus (OLC) approach #swayamprabha #ch17sp

What Nobody Tells You About Being a Quant

BWT for repetitive texts, part 2: Run-length FM index

