Mondays 11-12 AM, Evans 334.
1 credit S/U only.
http://fisher.berkeley.edu/~rasmus/STAT298.html
In this course we will mix lectures
and student led discussions of current topics in statistical phylogenetics.
The objective of phylogenetics is to estimate
evolutionary trees, typically from DNA sequence data, or other genetic
data. The course will start with a
series of lectures aimed at introducing the field of phylogenetics
for students of the mathematical sciences. We will thereafter move to student led discussions of
current papers in the field.
Topics will include model choice and hypothesis testing, MCMC methods,
interpretations of the bootstrap in phylogenetics,
the star-phylogeny paradox, and more.
The course is open to all graduate students, and we will assume no prior
knowledge regarding genetics. Familiarity with basic probability theory and
theory of statistics will be assumed.
During each meeting, except for the
first three weeks, one (or sometimes two) students give a presentation.
These presentations should provide sufficient background on the subject being
covered, review the current state of knowledge in the area, and then critically
analyze, in detail, the assigned paper. All students in the class are
expected to read the specific paper that will be presented at each
session. All presentations should leave at least 20 minutes in the end of
the class for discussion.
Regular attendance and active participation in discussions is required of all students in the seminar in order to receive a passing grade.
Schedule
(Please
report dead links)
This is a preliminary schedule – we may choose
to change it The first three session will be lectures aimed at providing all
students with a suitable background in phylogenetics. We will then start student lead
discussion on a number of topics.
Many of the topics chosen focus on current controversies and open
problems I statistical phylogenetics.
9/1/2008 Institutional holiday (Labor Day)
9/8/2008 Organizational meeting and
introduction
9/15/2008 Lecture
I: Trees, Models of Molecular Evolution and the Likelihood Function
9/22/2008 Lecture II: Parsimony and Optimization
9/29/2008 Lecture
III: Neighbor-Joining and Related Methods
Readings for the three lectures here.
10/06/2008
Bayesian Phylogenetics and MCMC (Nick Matzke, Chris Nasrallah)
10/13/2008 MCMC on
mixtures (David Hendrix, Wenjing)
See also this comment and this response.
And see also this.
10/20 The
star-tree paradox. (Caroline Uhler, Anna Malaspinas)
10/27 Measures of
confidence (I): the non-parametric Booststrap. Sriram Sankararaman).
Holmes S. 2003.
Bootstrapping Phylogenies. Statistical Science 18(2):241-255.
11/3 Measures of
confidence (II): parametric frequentist approaches
(Rasmus Nielsen).
11/10 Model choice (Daniel Richter)
11/17 What is
Parsimony? (Oscar Westesson, Joshua Pauu)
11/24 What is
Neighbor-Joining? (Yuval Benjamini, Kevin McLoughlin)
Gascuel, O. and Steel, M. 2006. Neighbor-joining revealed.
Mol. Biol. Evol. 23(11):1997–2000.
Supplementary:
12/1 Is the ML
estimator consistent? (Uffe Hellsten)
12/8 How should we
compare methods for phylogenetic inference? (Mansi Srivastava)
Sanderson, M.
J. and J. Kim. 2000. Parametric phylogenetics? Syst.
Biol. 49: 817–829.