Die Dozenten der Informatik-Institute der Technischen Universität
Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem
Vortrag ein.
Prof. Dr. Alice C. McHardy, Helmholtz Center for Infection Research,
Heinrich Heine University Düsseldorf:
Inference of genotype-phenotype relationships
Beginn: 16.04.2014, 11:45 Uhr
Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23,
1. OG, Hörsaal M 161
Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2014-04-16-mchardy.html
Kontakt: Prof. Dr.-Ing. Lars Wolf
Next generation sequencing allows to extensively survey the genome-wide
genetic diversity of microbial communities, as well as populations
from all domains of life. A major challenge is the development of
computational methods for hypothesis generation and basic computational
analysis of these large-scale data sets. I will present our recent work
on computational methods for metagenome analysis. We are working on
methods for predicting and characterizing microbial phenotypes as well
as identifying the relevant protein repertoire for a given phenotype,
focusing hereby on microbial plant biomass degradation.
Die Dozenten der Informatik-Institute der Technischen Universität
Braunschweig laden im Rahmen des Informatik-Kolloquiums zu folgendem
Vortrag ein.
Prof. Dr. Alice C. McHardy, Helmholtz Center for Infection Research,
Heinrich Heine University Düsseldorf:
Inference of genotype-phenotype relationships
Beginn: 16.04.2014, 11:45 Uhr
Ort: TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23,
1. OG, Hörsaal M 161
Webseite: http://www.ibr.cs.tu-bs.de/cal/kolloq/2014-04-16-mchardy.html
Kontakt: Prof. Dr.-Ing. Lars Wolf
Next generation sequencing allows to extensively survey the genome-wide
genetic diversity of microbial communities, as well as populations
from all domains of life. A major challenge is the development of
computational methods for hypothesis generation and basic computational
analysis of these large-scale data sets. I will present our recent work
on computational methods for metagenome analysis. We are working on
methods for predicting and characterizing microbial phenotypes as well
as identifying the relevant protein repertoire for a given phenotype,
focusing hereby on microbial plant biomass degradation.
