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Date:
From 06 Jan 2025 until 10 Jan 2025
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Deadline for Applications:
13 Dec 2024
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Location:
Online (link to be provided before the start of the course)
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Duration:
36 hours (contact hours)
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Schedule:
9h-12h30 and 14h-17h30, Monday-Thursday; 9h-13h and 14h-18h, Friday
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Lecturer or Responsible:
Teresa Nogueira (CE3C-GenMicro, INIAV)
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Department Responsible:
Departamento de Biologia Vegetal, Faculdade de Ciências da Universidade de Lisboa
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Nº (min - max) Students:
10-20
Objectives
Acquire knowledge regarding bioinformatic tools available to perform analysis of DNA and protein sequences, as well as autonomy and critical thinking in the use of those tools. Develop skills in the use of bioinformatics software freely available on the Internet and interpret the biological meaning of the results.
Overview
Nucleic acids are the molecular base of life through their unique ability to store and proliferate genetic information from DNA to proteins, through RNA. Besides storing genetic information, nucleic acids are also involved in other biological functions such as enzymatic catalysis and transcriptional regulation. There are thousands of totally sequenced genomes freely available. 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. Among the widely used tools for data mining is software designed for analysing and comparing amino acids and nucleotide sequences, allowing for identification and exploration of similarities. Additionally, algorithms form the basis for generating trustworthy sequence databases. Intelligent analysis of these databases facilitates the extraction of valuable information and scientific insights.
At the end of this course, participants, including researchers, molecular biology students, and health professionals, will be equipped to engage in data mining of nucleic acids and protein sequences. This skill set empowers them to uncover biological knowledge and implement innovative laboratory techniques in molecular biology, research, or diagnostics.
Participants have to be present at 85% of the contact hours (this means that they can miss one half-day), and actively participate in all activities.
This course can give credits to PhD programmes at CIÊNCIAS or of programmes with partnership from CIÊNCIAS and other institutions with 6h-7h of contact hours per ECT, as a function of specific requirements. For these students additionally to the exercises done during the week the delivery of a written report done after the course is mandatory. For programmes with less hours of contact per ECT (6h/ECT, getting 6 ECTs from the course) students need to do an additional assignment (summary report). If needed 1 or 2 additional hours of contact may be added. Such report(s) are also advised for other students requesting creditation of the course in their institutions.
Minimal formation of students: bachelor degree in Biology, Biochemistry or related areas.
Directed to: PhD or MSc students, postdocs, clinical analysts and other professionals working in Biology, Biochemistry and related topics.
General Plan
Note: This course will be given remotely (ONLINE).
Plan
- Nucleic acids and DNA Sequencing Technologies;
- Transforming Raw Data into Annotated Genomes;
- Molecular evolution and biological meaning of sequence alignment;
- Exploring Phylogeny;
- Aligning nucleotide and protein sequences;
- Functional and structural analysis of protein sequences;
- Analysis and discussion of case studies.
Funding
Students fees
Fee
Free for 1st year PhD students in Doctoral programmes at CIÊNCIAS (e.g. Biology), Biodiversity, Genetics and Evolution (BIODIV ULisboa; UPorto), Biology and Ecology of Global Changes (BEAG ULisboa, UAveiro) and Sustainability Science (ULisboa, several institutions), when the course counts credits for their formation, in which case the delivery of a final report done after the course is mandatory; the course is also free for more advanced PhD students of the BIODIV programme (ULisboa or UPorto); 30 € for more advanced PhD students of CE3C; 60 € for PhD students of the PEERS network (CFE); 105 € for CIÊNCIAS Master students and unemployed; 160 € for BTI, BI and other PhD students; 230 € for Professionals and postdocs.
When the maximum number of students is reached, 10 vacancies will be available for non-paying 1st year PhD students mentioned above, being, by order of preference students from: 1) CE3C; 2) BIODIV (not from CE3C); 3) CIÊNCIAS (not from CE3C); 4) Sustainability Science (not from CE3C or CIÊNCIAS); 5) BEAG (not from CE3C or CIÊNCIAS).