Noticias en español
Abstract:
The compact genomes of the hemiascomycete yeasts provide an ideal terrain for eukaryote comparative genomics: in the 450 Mya since their divergence from a common ancestor they have adapted to a wide range of ecological conditions, using a wide range of evolutionary mechanisms, while maintaining a relatively conserved gene repertoire. For these reasons yeasts present a unique opportunity for developing bioinformatic tools for comparative genomics, and since they play a considerable role in biotechnological applications, predictions made for the genome are often translated to useful experimental results.
The compact genomes of the hemiascomycete yeasts provide an ideal terrain for eukaryote comparative genomics: in the 450 Mya since their divergence from a common ancestor they have adapted to a wide range of ecological conditions, using a wide range of evolutionary mechanisms, while maintaining a relatively conserved gene repertoire. For these reasons yeasts present a unique opportunity for developing bioinformatic tools for comparative genomics, and since they play a considerable role in biotechnological applications, predictions made for the genome are often translated to useful experimental results.
What we find is that work on these species is not always hypothesis-driven, but serendipitous: the main results are often quite unexpected. I will present a number of concrete examples from large-scale comparative analyses, consider strategies for building useful bioinformatic tools, and conclude with a plea for reproducible science.
Date: Jul 29, 2013 at 17:00 h
Date of closure: Jul 29, 2013
Venue: Avda. Blanco Encalada 2120, piso 6, Sala Multimedia CMM
Speaker: David James Sherman
Affiliation: Senior Scientist (Dir. Rech.)
Coordinator: Alejandro Maass
Date of closure: Jul 29, 2013
Venue: Avda. Blanco Encalada 2120, piso 6, Sala Multimedia CMM
Speaker: David James Sherman
Affiliation: Senior Scientist (Dir. Rech.)
Coordinator: Alejandro Maass
Posted on Jul 25, 2013 in Bioinformatics and Mathematics of the Genome Laboratory, Seminars
