Genome, Transcriptome, and Proteome in Silico Analysis
| Keywords |
| Classification |
Keyword |
| OFICIAL |
Biology |
Instance: 2018/2019 - 2S 
Cycles of Study/Courses
Teaching language
Suitable for English-speaking students
Objectives
Introduction and training in bioinformatics tools focusing on the user's standpoint. Case-studies in the context of ongoing research projects.
Learning outcomes and competences
Using diverse bioinformatics applications and resources in the context of specific problems. Training in data-mining, retriving of significant data from specific databases, integrating diverse bioinformatic tools in response to specific problems.
Working method
Presencial
Program
From basic in silico resources to more advanced bioinformatics applications. Data-mining, Blast on NCBI, Multiple sequence alingment (Clustal on EBI), ORF finding, DNA sequences analysis and editing (MEGA), phylogenetic analysis.
Introduction to Geneious. Exercises.
Genome-analysis applied tools.
Mandatory literature
Albuquerque et al. ; DNA signature-based approaches for bacterial detection and identification, Elsevier, 2009
Teaching methods and learning activities
Presentation of Case studies in the context of ongoing research projects and practical training sessions in the computer lab.
Oral presentations and written reports. Final exam.
Evaluation Type
Distributed evaluation with final exam
Assessment Components
| designation |
Weight (%) |
| Exame |
50,00 |
| Trabalho escrito |
25,00 |
| Trabalho prático ou de projeto |
25,00 |
| Total: |
100,00 |
Amount of time allocated to each course unit
| designation |
Time (hours) |
| Estudo autónomo |
60,00 |
| Frequência das aulas |
42,00 |
| Trabalho escrito |
60,00 |
| Total: |
162,00 |
Eligibility for exams
Attence of classes minimum 75 %
Calculation formula of final grade
Final examination - 50%
Lab exercise - 25%
Written assay - 25%