Bioinformática

BioISI Day 2020

O Instituto de Biossistemas e Ciências integrativas (BioISI), unidade de investigação sediada na Faculdade, promoveu no passado dia 26 de novembro um encontro científico para apresentar e partilhar os seus últimos projetos, resultados científicos e colaborações.

A Bioinformática no Combate à COVID-19

A 3.ª edição das Jornadas de Bioinformática, numa adaptação ao contexto de confinamento a que estudantes, docentes e investigadores estão a viver, realiza-se em múltiplas sessões de videoconferência distribuídas no tempo, com início no dia 25 de maio de 2020 e final a meados de junho. Além de algumas atividades que são dinamizadas para os estudantes da Licenciatura em Bioinformática do IPS, estas jornadas terão como tema "A Bioinformática no Combate à COVID-19".

Bioinformatics analysis of biological sequences

There are thousands of totally sequenced genomes freely available in the Internet. The number keeps on growing as at least one genome sequence is released every day. Large-scale sequencing requires bioinformatics analysis, whose algorithms will be the aim of this course, and that underlie the generation of reliable databases. Algorithms are also the basis of reliable sequence databases generation. An intelligent analysis of these databases allows the extraction of information and scientific knowledge.

Bioinformatics analysis of biological sequences

There are thousands of totally sequenced genomes freely available in the Internet. The number keeps on growing as at least one genome sequence is released every day. Large-scale sequencing requires bioinformatics analysis, whose algorithms will be the aim of this course, and that underlie the generation of reliable databases. Algorithms are also the basis of reliable sequence databases generation. An intelligent analysis of these databases allows the extraction of information and scientific knowledge.

Development of microbial cell factories - from the genome to production

The field of Metabolic Engineering (ME) has gained a major importance, since it allows the design of improved microorganisms for industrial applications, starting with wild-type strains that usually have low production capabilities in terms of the target compounds. The ultimate aim of ME is to identify genetic manipulations in silico leading to improved microbial strains, that can be implemented using novel molecular biology techniques.