Moses - Introduction to Bioinformatics

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SS 2018 - SoSe 2022. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#20568 / #1

Validity:
SS 2018 - SoSe 2022

Default display language:
English

Module title:
Introduction to Bioinformatics

Credits:
6

Responsible person:
Mroginski, Maria Andrea

Grading:
benotet

Type of exam:
Mündliche Prüfung

Zugehörigkeit

Faculty:
Fakultät II

Institute:
Institut für Chemie

Area of expertise:
No information

Prüfungsausschuss:
No information

Kontakt

Office:
PC 14

Contact person:
Mroginski, Maria Andrea

E-mail address:
andrea.mroginski@tu-berlin.de

Website:
No information

Learning Outcomes

Bioinformatics methods are being used routinely by scientists in all branches of biological science. One of the primary goals of bioinformatics is to provide tools that allow scientists to find and correlate complex data from across disciplines (biology, chemistry and biochemistry), establishing connectivity between different types of information. It is, therefore, essential for students in bioscience to gain a basic knowledge of the mathematical algorithms in bioinformatics and get familiar with commonly used computational tools for sequence analysis, structure prediction, clustering and network analysis. The goal of this course is to introduce students to conceptual and practical tools for performing complex computational tasks in the field of biological chemistry. They will learn practical skills in bioinformatics including the use of biological databases, servers and software as well as basic handling of structural data.

Content

The course will address the theoretical and practical aspects of the following topics: 1) gene structure and sequencing: string search, 2) computational techniques for sequence analysis: sequence alignment, BLAST alignment search tool and multiple sequence alignment with ClustalW, 3) transcription: mathematical algorithms for transcriptional profiling, 4) structural bioinformatics and drug discovery, Rosetta, 5) bioinformatics for proteomics, 6) protein-protein interaction networks and 7) system biology: metabolic networks (ExPASy).

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Introduction to Bioinformatics	IV		SoSe	No information	4

Workload and Credit Points

Introduction to Bioinformatics (IV):

Workload description	Multiplier	Hours	Total
Attendance	15.0	4.0h	60.0h
Pre/post processing	15.0	8.0h	120.0h
			180.0h(~6 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Lecture and practical work

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

none

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Oral exam

Language

German

Duration/Extent

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Appointment with lecturer (secretary) and registration at examinations office

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous