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Readings

If you are considering joining the Bejerano Lab, you should explore the resources below, which serve as an introduction to our field.

Popular Science

Popular science books are a fun-to-read, gentle introduction to a new topic. 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

Core Technical Skills

These books offer a basic technical introduction to our core skill set: 1) Domain knowledge in Molecular Biology and Evolution. 2) Statistical methodology of studying inherently noisy and messy data. 3) Computational analysis.

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 one language and master it)

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

Relevant Current Literature

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

For more, see our own publications and course recommendation pages.