> For the complete documentation index, see [llms.txt](https://mpop.gitbook.io/bioinformatics-lecture-notes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mpop.gitbook.io/bioinformatics-lecture-notes/readme.md).

# Introduction

This book will contain a collection of lecture notes largely based on undergraduate and graduate classes taught by [Mihai Pop](https://pop-lab.org) at the University of Maryland. The goal is to eventually also include a collection of exercises/problem sets that can be used for formative or summative assessments. 

## Acknowledgements

A large part of the undergraduate curriculum described in the lecture notes was inspired by [Pavel Pevzner](https://bioalgorithms.ucsd.edu/) and [Philip Compeau](https://compeau.cbd.cmu.edu/)'s [Bioinformatics Algorithms](https://www.bioinformaticsalgorithms.org/) book. Several lecture notes (particularly related to sequence alignment statistics and motif finding) are based on presentations by [Stephen Altschul](https://en.wikipedia.org/wiki/Stephen_Altschul). Additional major contributions were made by Jacquelyn Michaelis while co-teaching an undergraduate bioinformatics class. 

The initial version of the lecture notes was created with the help of students taking a graduate-level bioinformatics class:

Noam Auslander\
Joshua Brulé\
Hyongtae Cho \
Mark Daly\
Wikum Dinalankara \
Geet Duggal\
Ted Gibbons\
Jonathan Gluck\
Raul Guerra \
Chris M. Hill\
Sam Huang \
Assaf Magen\
Jesse Moll \
Koyel Mukherjee \
Emre Sefer\
Ferhan Ture \
Xiao Wang \
Derrick Wood