Application deadline

Registration deadline for PhD students at UiT - The Arctic University of Norway: February 1st

Application deadline for external applicants: December 1st. Application code 9303 in Søknadsweb.

Type of course

Admission requirements

PhD students or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted. Valid documentation is a statement from your institution that you are a registered PhD student, or a Master´s Diploma with Diploma Supplement / English translation of the diploma. PhD students are exempt from semester fee.

Students should have basic knowledge in bioinformatics (introductory course in bioinformatics).

PhD students at UiT The Arctic University of Norway register for the course through StudentWeb .

External applicants apply for admission through SøknadsWeb. Application code 9303.

All external applicants have to attach a confirmation of their status as a PhD student from their home institution. Students who hold a Master of Science degree, but are not yet enrolled as a PhD-student have to attach a copy of their master's degree diploma. These students are also required to pay the semester fee.

More information regarding PhD courses at the Faculty of Science and Technology is found here

Course content

This course introduces the students to genomics and genome analysis of bacteria. Bioinformaticians uses computers to retrieve, store, analyze, visualize and understand biological information. Genome-scale sequencing projects have led to an explosion of genetic sequences available for automated analysis. These gene sequences are the codes, which direct the production of proteins that in turn regulate all life processes. The student will be shown how these sequences can lead to a much fuller understanding of many biological processes. The aim is to provide a practical description of the topics, tools, issues and current trends in bacterial genomics including their impact on biology, human and veterinary medicine. Major topics will include:

• genome sequencing and assembly
• genome annotation (gene prediction and functional assignment)
• prediction of binding sites
• comparative genomics
• Transcriptomics (RNA-seq)
• systems biology
• phylogenetic analysis.

Recommended prerequisites

Objectives of the course

Knowledge: The candidate...

• has advanced knowledge in genomics and genome analysis including
• has thorough knowledge of methods and techniques applied in bioinformatics on prokaryote organisms
• can apply knowledge to new areas in bioinformatics
• can analyse academic problems related to comparative genomics

Skills: The candidate...

• can analyze and deal critically with various sources of information and use them to structure and formulate scholarly arguments
• can analyse methods, techniques and interpretations in bioinformatics and work independently on practical problems
• can use relevant methods and techniques in bioinformatics for research in an independent manner
• can carry out an independent, limited research or developmental project under supervision.

General competence: The candidate...

• can apply her/his knowledge and skills in bioinformatics in order to carry out advanced assignments and projects
• can communicate specialized terminology in the field of bioinformatics.
• can effectively communicate about academic issues, analyses and conclusions in the field of bioinformatics.

Language of instruction and examination

Teaching methods

Assessment

Evaluation of written report. Pass/not pass.

Compulsory attendance.

Recommended reading/syllabus