Algebraic Statistics for Computational Biology. * Edited by Lior Pachter and Bernd Sturmfels

Mathematical & Computational Biology Seminar Organizer : Lior Pachter

23andMe has two core missions: to provide consumers with access to their genetic data with the necessary tools to interpret it, and to allow those customers to participate in the next generation of genetics research. Most human genetics has been done on relatively simple and small populations. However, at 23andMe, we are faced with all the complexities of human genetics (admixture both recent a...

Algebraic Statistics for Computational Biology

Binomial Ideals David Eisenbud and Bernd Sturmfels

Introduction. It is notoriously difficult to deduce anything about the structure of an ideal or scheme by directly examining its defining polynomials. A notable exception is that of monomial ideals. Combined with techniques for making fiat degenerations of arbitrary ideals into monomial ideals (typically, using Gr6bner bases), the theory of monomial ideals becomes a useful tool for studying gen...

Discrete Mathematics Seminar Organizer ( s ) : Bernd Sturmfels Wednesday

Algebraic combinatorics for computational biology

Algebraic combinatorics for computational biology by Nicholas Karl Eriksson Doctor of Philosophy in Mathematics University of California, Berkeley Professor Bernd Sturmfels, Chair Algebraic statistics is the study of the algebraic varieties that correspond to discrete statistical models. Such statistical models are used throughout computational biology, for example to describe the evolution of ...