Master-Praktikum Computational Proteomics

NUMMER: 202621
KÜRZEL: MPCP
MODULBEAUFTRAGTE:R: PD Dr. rer. medic. Martin Eisenacher
DOZENT:IN: PD Dr. Martin Eisenacher
FAKULTÄT: Fakultät für Biologie
SPRACHE: Deutsch oder Englisch
SWS: 4 SWS
CREDITS: 5 CP
WORKLOAD: 150 h
ANGEBOTEN IM: jedes Sommersemester

BESTANDTEILE UND VERANSTALTUNGSART

a) Praktikum (202621)

PRÜFUNGEN

FORM: Semesterbegleitend; Written protocol, documentation of the practical task, final slide presentation
ANMELDUNG:
DATUM: 0000-00-00
BEGINN: 00:00:00
DAUER:
RAUM:

LERNFORM

Introductory weeks, independent working on the practical task alone or as group work

LERNZIELE

After successful completion of the module students:
∙ can take on practical challenges in the development of bioinformatics applications,
∙ the students have got to know programming libraries from the field of bioinformatics
∙ have practiced the use of workflow systems
∙ have learned the mechanisms of code and program documentation
∙ have practiced procedures used to provide own libraries (e.g. R packages, .jar files)

Discipline-specific competences:
∙ Programming of solutions for bioinformatics applications
∙ Handling of standard tools / formats and programming libraries of bioinformatics
∙ Dealing with large amounts of data

Generic competences:
∙ Instrumental competences
– Project and time management with digital tools
– Scientifically structured documentation
∙ Systemic competences
– Teamwork and ability to work in a team
– Independent learning and working
∙ Communicative skills
– Presentation of scientific results
– Using English technical terms used in Bioinformatics
– Rhetoric and linguistic competence (German / English)

INHALT

Bioinformatics naturally applies computer science methods to the data of a life science application
area, i. e. it represents applied digitization per se. The internship teaches the basics
of programming / development with relations life science applications utilizing data of highthroughput
mass spectrometry / Proteomics. After a short introduction (presence meeting)
in programming and development environments (e.g. Java, R, C++, eclipse, RStudio, Python,
Matlab, KNIME), practical programming tasks will be enrolled and edited during the
semester, if necessary with further face-to-face meetings to discuss progress.

VORAUSSETZUNGEN

Practical programming experience in one or more languages (e. g. Java, R, Python, Matlab)

VORAUSSETZUNGEN CREDITS

Written protocol (see “Prüfungsformen”), processing / documentation of the practical task,
participation in the face-to-face meetings, final presentation

EMPFOHLENE VORKENNTNISSE

Modules from the focal point Bioinformatics (e.g. lecture
“Bioinformatics for Proteomics I”)

LITERATUR

AKTUELLE INFORMATIONEN

SONSTIGE INFORMATIONEN