Lab Resources	Specialized Resources	General Resources
Presentations	Core Stanford Classes	Popular Science Books
Teaching	Core Technical Books	Popular Talks
Tools & Data	Technical Reviews

Lab Resources

Gill's Presentations

5. "GREAT.stanford.edu: Genomic Regions Enrichment of Annotations Tool", Stanford BioMedical Informatics Talk, May 2010. [watch, slides]

4. "Ultraconservation and the Human Genome regulatory landscape", Stanford BioMedical Informatics Talk, Apr 2009. [watch, slides]

3. "Tales from the Dark Side of Your Genome", Stanford Talks in English Presentation, Oct 2007. [watch, slides]

2. "Deciphering the Human Genome: Computational Insights & Opportunities", NSF advisory meeting, Princeton, Dec. 2006. [watch, slides]

1. "Ultraconservation and Living Fossils: Mysteries of the Human Genome", Google invited talk, Googleplex, Oct 2006. [watch, slides]

Specialized Resources

Core Stanford Classes

The work in our lab requires skills and knowledge in computer science, biology, and statistics. Lab members follow the core curriculum below. The more of these courses (or equivalent material) you know, the more attractive you will be to our lab, and the more valuable you will find your experience with us.

Computer Science:
	CS 106A	Programming Methodology / Java  [watch]	Aut,Win,Spr,Sum
	CS 106B	Programming Abstractions / C++  [watch]	Win,Spr,Sum
	CS 107	Programming Paradigms / C, Python  [watch]	Aut,Spr
	CS 161	Design and Analysis of Algorithms	Aut,Win,Sum
Biology:
	DBIO 201	Development and Disease Mechanisms	Aut
	GENE 203	Current Genetics	Aut
	BIO 113	Fundamentals of Molecular Evolution	Spr
Bioinformatics:
	CS 173	A Computational Tour of the Human Genome	Win
	CS 262	Computational Genomics	Win
	GENE 211	Genomics	Win
	BIOC 218	Computational Molecular Biology [watch]	Aut
Statistics:
	STATS 200	Intro to Statistical Inference	Win,Sum

Note: Many of these courses are cross-listed.

Core Technical Books

These books offer a basic technical introduction to our core skill set.

Basic Biology

  "Genetics for Dummies" by Tara Rodden Robinson

Molecular Evolution

  "Evolution for Dummies" by Greg Krukonis, Tracy Barr

Statistical Hypothesis Testing

  "Statistics for Dummies" by Deborah Rumsey (see Part VI)

Basic Computer Science

  "Programming Methodology" Stanford  CS 106A course [online]

Programming from the Command Line

  "UNIX Shells by Example" by Ellie Quigley [online]

Text Processing Languages (pick either language)

  "Learning Python" by Mark Lutz [online], or
  "Learning Perl" by Randal L. Schwartz, Tom Phoenix, Brian D. Foy [online]

Technical Reviews

A few recent reviews and research articles are there to give you a taste for the type of problems we work on.

General Resources

Popular Science Books

Popular science books are a fun-to-read, gentle introduction to a new field. Some of the many excellent popular science books relevant to our lab are:

The Human Genome

  "Genome: The Autobiography of a Species in 23 Chapters" by Matt Ridley

Genetics and Human Disease

  "When a Gene Makes You Smell Like a Fish:  And Other Amazing Tales about the Genes in Your Body" by Lisa Seachrist Chiu

Evolutionary Developmental Biology

  "Endless Forms Most Beautiful: The New Science of Evo Devo" by Sean Carroll

Human Origins

  "Before the Dawn: Recovering the Lost History of Our Ancestors" by Nicholas Wade

Interdisciplinary Science

  "The Medici effect" by Frans Johansson

Popular Talks

• HHMI Lectures by Sean Carroll and David Kingsley, 2005 [watch]
• Sackler Colloquium on Evolution, 2006 [watch]
• Sackler Colloquium on Animal Development, 2007 [watch]
• Stanford undergrads DevBio rap, 2009 [watch]