Dear all,
the next seminar will take place this Wednesday, please see the details below. We look forward to seeing you all!
Best wishes, Petr Danecek
Date and time: Wednesday 20/04/2022 - 17:20 Location: MFF UK, Malostranské nám. 25, lecture hall S6 https://bioinformatika.mff.cuni.cz/seminar/
Title: Sequence space and protein functional classification Speaker: Alessandra Carbone Affiliation: Department of Computational and Quantitative Biology, Sorbonne University
Abstract: Functional classification of proteins from sequences alone has become a critical bottleneck in understanding the myriad of protein sequences that accumulate in our databases. The great diversity of homologous sequences hides, in many cases, a variety of functional activities that cannot be anticipated. Their identification appears critical for a fundamental understanding of the evolution of living organisms and for biotechnological applications.
In this talk, I will explain how rethinking the sequence space with multiple profile models leads to the functional classification of proteins. I will present ProfileView, a sequence-based computational method designed to functionally classify sets of homologous sequences. ProfileView relies on two main ideas: the use of multiple profile models whose construction explores evolutionary information in available databases, and a novel definition of a representation space in which to analyse sequences with multiple profile models combined together. ProfileView classifies protein families by enriching known functional groups with new sequences and discovering new groups and subgroups.
Just learned there was a change in the date, the talk will take place in two weeks time, on May 4th. Apologies for the confusion.
Best wishes, Petr Danecek
On 18/04/2022 17:15, Petr Danecek wrote:
Dear all,
the next seminar will take place this Wednesday, please see the details below. We look forward to seeing you all!
Best wishes, Petr Danecek
Date and time: Wednesday 20/04/2022 - 17:20 Location: MFF UK, Malostranské nám. 25, lecture hall S6 https://bioinformatika.mff.cuni.cz/seminar/
Title: Sequence space and protein functional classification Speaker: Alessandra Carbone Affiliation: Department of Computational and Quantitative Biology, Sorbonne University
Abstract: Functional classification of proteins from sequences alone has become a critical bottleneck in understanding the myriad of protein sequences that accumulate in our databases. The great diversity of homologous sequences hides, in many cases, a variety of functional activities that cannot be anticipated. Their identification appears critical for a fundamental understanding of the evolution of living organisms and for biotechnological applications.
In this talk, I will explain how rethinking the sequence space with multiple profile models leads to the functional classification of proteins. I will present ProfileView, a sequence-based computational method designed to functionally classify sets of homologous sequences. ProfileView relies on two main ideas: the use of multiple profile models whose construction explores evolutionary information in available databases, and a novel definition of a representation space in which to analyse sequences with multiple profile models combined together. ProfileView classifies protein families by enriching known functional groups with new sequences and discovering new groups and subgroups.
Just a gentle reminder the next seminar will take place tomorrow. We look forward to seeing you all.
Best wishes, Petr Danecek
---------------------------------
On 18/04/2022 17:15, Petr Danecek wrote:
Dear all,
the next seminar will take place this Wednesday, please see the details below. We look forward to seeing you all!
Best wishes, Petr Danecek
Date and time: Wednesday 04/05/2022 - 17:20 Location: MFF UK, Malostranské nám. 25, lecture hall S6 https://bioinformatika.mff.cuni.cz/seminar/
Title: Sequence space and protein functional classification Speaker: Alessandra Carbone Affiliation: Department of Computational and Quantitative Biology, Sorbonne University
Abstract: Functional classification of proteins from sequences alone has become a critical bottleneck in understanding the myriad of protein sequences that accumulate in our databases. The great diversity of homologous sequences hides, in many cases, a variety of functional activities that cannot be anticipated. Their identification appears critical for a fundamental understanding of the evolution of living organisms and for biotechnological applications.
In this talk, I will explain how rethinking the sequence space with multiple profile models leads to the functional classification of proteins. I will present ProfileView, a sequence-based computational method designed to functionally classify sets of homologous sequences. ProfileView relies on two main ideas: the use of multiple profile models whose construction explores evolutionary information in available databases, and a novel definition of a representation space in which to analyse sequences with multiple profile models combined together. ProfileView classifies protein families by enriching known functional groups with new sequences and discovering new groups and subgroups.