Informatics Toolbox for Systematics

5 credits

Syllabus, Master's level, 1BG395

A revised version of the syllabus is available.
Code
1BG395
Education cycle
Second cycle
Main field(s) of study and in-depth level
Applied Biotechnology A1F, Biology A1F
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 30 August 2018
Responsible department
Biology Education Centre

Entry requirements

150 credits including (1) 60 credits in biology and 30 credits in chemistry or 30 credits in earth science, or (2) 90 credits in biology, in both cases including Fundamental and Molecular Systematics, 10 credits, or Evolutionary Patterns, 15 credits. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Learning outcomes

The course intends to give the student a set tool (in the form of Perl, MySQL and R) to handle, store, structure, analyse and visualise data in a molecular-systematic project.

On completion of the course, the student should be able to:

  • choose and apply existing applications in Perl, MySQL and R
  • design simple databases in MySQL
  • write new or modify existing scripts (in Perl, SQL and R) to solve simple problems
  • outline solutions to information flow based on Perl, R and SQL for a systematic research project

Content

The course presents and applies the most popular open environments in bioinformatics to design practical solutions to concrete problems within the systematics.

- Automation of bioinformatic data management; application of bioinformatics, from process to algorithm, to solve problems through programming

- Biological databases with MySQL; common database types, design of relational databases, configuration of MySQL server, data management with SQL

- Automation with Perl; basic syntax and logic, references, subroutines and modules, regular expressions, file management, Perl DBI

- Numerical data analysis with R; data structures, import of data, visualisation, programs in R, multivariate data analysis (clustering, PCA, classification) in R, program package in R, interface with MySQL

- Programming for the web; Apache web server, HTML and XHTML, CGI with Perl, CSS, Ecmascript, visualisation with Perl, CGI and R

Instruction

The teaching is given in the form of e-teaching

Assessment

Parts of the course: Theory 2 HE credits, Practice 3 HE credits

The theory part is examined by a computer-based test

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

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