Computational Modeling of Gene Expression and its Evolution
Location: CECAM-ISR, Tel-Aviv University, Israel
Organisers
Gene expression is the fundamental process by which information encoded in the DNA (genotype) is used to produce proteins (phenotype). The process includes several stages and sub-stages (e.g. transcription, RNA processing, translation, transport, mRNA and protein degradation, etc), and as it is partially encoded in the transcript it affects and relates to its evolution. The increasing rate by which experimental data related to gene expression is generated, and the knowledge related to gene expression gained in recent years enables: 1) Developing/tailoring multivariate machine learning and biophysical models of this process. 2) Developing/tailoring computational models that connect gene expression to molecular evolution of transcripts.
The aim of the workshop will be to deal with computational modeling (or mathematical formalizations enabling computational modeling) and analysis of all aspects of gene expression biophysics and evolution. Specifically, we aim to bring together leading researchers (e.g. systems/computational biologists, evolutionary biologists, mathematical biologists, and biophysicists) that employ computational tools to study gene expression evolution and/or gene expression biophysics. Since many stages of genes expression interact/overlap with each other, and since models of various gene expression stages share various similarities, we will promote presentations related to all aspects/stages of gene expression.
Some specific (overlapping) topics will include: 1) Mathematical formalization of various aspects/stages of gene expression that enables computational study. 2) Computational simulation of gene expression. 3) Mathematical/computational models that connect gene expression and evolution. 3) Computational prediction/analyzing of various aspects of gene expression based on large scale genomic data. 4) Gene expression engineering base on rational algorithms. 5) Computational handling of noise and stochasticity in gene expression processing and data. 6) Employing computational biophysical approaches to understand molecular evolution.
The place of the workshop
The lectures will take place at Rosenblatt Auditorium of the Engineering Faculty. Signs will be put up to guide you to the Auditorium from gate 4 (if you reside in Einstein) and gate 17 (if you reside in Broshim).
References
Jacqueline Gorsky (Tel Aviv University) - Organiser
Michal Linial (The Hebrew University) - Organiser & speaker
Tamir Tuller (Tel Aviv University) - Organiser & speaker
Sweden
Mans Ehrenberg (Uppsala University) - Organiser & speaker
United States
Claus Wilke (The University of Texas at Austin) - Organiser & speaker