Carole Knibbe

发表

An alife game to teach evolution of antibiotic resistance

Guillaume Beslon, Bérénice Batut, David P. Parsons, 2013, ECAL.

How to reduce a genome? ALife as a tool to teach the scientific method to school pupils

Jonathan Rouzaud-Cornabas, Guillaume Beslon, David P. Parsons, 2019, Artificial Life Conference Proceedings.

A Bio-inspired Genetic Algorithm with a Self-Organizing Genome: The RBF-Gene Model

Joël Favrel, Guillaume Beslon, Carole Knibbe, 2004, GECCO.

Simultaneous Optimization of Weights and Structure of an RBF Neural Network

Joël Favrel, Guillaume Beslon, Carole Knibbe, 2005, Artificial Evolution.

Environmental seasonality drives digital populations towards stable cross-feeding

Guillaume Beslon, Dominique Schneider, Carole Knibbe, 2017, ECAL.

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Risto Miikkulainen, Christoph Adami, Marc Parizeau, 2018, Artificial Life.

Long-term needs for evolvability and robustness shape genome structure: a simulation study

Guillaume Beslon, Carole Knibbe, Jean-Michel Fayard, 2006 .

Souvenirs from ECAL 2017: create, play, experiment, discover – revealing the experimental power of virtual worlds

Carole Knibbe, 2018, Adapt. Behav..

Structuration des génomes par sélection indirecte de la variabilité mutationnelle : une approche de modélisation et de simulation. (Evolution of genome structure by indirect selection of the mutational variability: a computational approach)

Carole Knibbe, C. Knibbe, 2006 .

Comparative Genomics on Artificial Life

Guillaume Beslon, Carole Knibbe, Priscila Biller, 2016, CiE.

In silico experimental evolution provides independent and challenging benchmarks for comparative genomics

Carole Knibbe, Eric Tannier, Guillaume Beslon, 2016 .

In silico experimental evolution: a tool to test evolutionary scenarios

Guillaume Beslon, Bérénice Batut, David P. Parsons, 2013, BMC Bioinformatics.

Homologous and nonhomologous rearrangements: Interactions and effects on evolvability

Guillaume Beslon, David P. Parsons, Carole Knibbe, 2011, ECAL.

The Topology of the Protein Network Influences the Dynamics of Gene Order: From Systems Biology to a Systemic Understanding of Evolution

Guillaume Beslon, Carole Knibbe, Jean-Michel Fayard, 2008, Artificial Life.

Self-adaptation of Genome Size in Artificial Organisms

Guillaume Beslon, Carole Knibbe, Virginie Lefort, 2005, ECAL.

Scaling laws in bacterial genomes: A side-effect of selection of mutational robustness?

Juan Manuel Peña, Guillaume Beslon, David P. Parsons, 2010, Biosyst..

Software - aevol (artificial evolution)

Guillaume Beslon, Bérénice Batut, David P. Parsons, 2011 .

The RBF-Gene Model

Hédi Soula, Guillaume Beslon, Carole Knibbe, 2003, ICANNGA.

Parsimonious modeling of scaling laws in genomes and transcriptomes

Guillaume Beslon, David P. Parsons, Carole Knibbe, 2011, ECAL.

Importance of the Rearrangement Rates on the Organization of Genome Transcription

Guillaume Beslon, David P. Parsons, Carole Knibbe, 2010, ALIFE.

Beware batch culture: Seasonality and niche construction predicted to favor bacterial adaptive diversification

Guillaume Beslon, Dominique Schneider, Carole Knibbe, 2017, PLoS computational biology.

Scaling Laws in Digital Organisms

Guillaume Beslon, David P. Parsons, Carole Knibbe, 2009 .

Importance of the rearrangement rates on the organization of transcription.

Guillaume Beslon, David P. Parsons, Carole Knibbe, 2010 .

Reductive genome evolution at both ends of the bacterial population size spectrum

Bérénice Batut, Carole Knibbe, Vincent Daubin, 2014, Nature Reviews Microbiology.

Breaking Good: Accounting for Fragility of Genomic Regions in Rearrangement Distance Estimation

Carole Knibbe, Priscila Biller, Eric Tannier, 2016, Genome biology and evolution.