Introduction to bioinformatics

Introduction to bioinformatics

1.

Subject title

Introduction to bioinformatics

Вовед во биоинформатиката

2.

Code

F23L3W085

3.

Study program

Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Информатичка едукација, Software engineering and information systems, Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Software engineering and information systems, Стручни студии за програмирање, Стручни студии за програмирање, Bioinformatics,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Прв циклус

6.

Academic year / semester

4 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

ворн. проф. д-р Моника Симјаноска Мишева проф. д-р Невена Ацковска

9.

Prerequisites for enrollment

Вештачка интелигенција или Машинско учење или Вовед во науката за податоци

10.

Subject goals and competencies:


Students to become familiar with the areas and problems covered by bioinformatics, to be able to perform gene and protein sequence analysis, to use biological databases, to learn computational methods for solving problems in molecular biology.

11.

Subject content:


What is Bioinformatics? A central paradigm in bioinformatics. DNA sequence analysis. RNA and protein secondary structure prediction. Tertiary protein structures and their relation to protein function. An introduction to computational tools and algorithms for solving problems in molecular biology. Concepts of gene expression and microarray technology. Concept of systems biology. Management structures in bioinformatics. DNA programming. Using genomic and protein databases. Introduction to Genetic Engineering.

12.

Learning methods:


предавања, проекти, дискусии, работилници

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

45 hours

16.

Other forms of activities

16.1.

Project tasks

15 hours

16.2.

Independent tasks

15 hours

16.3.

Homework

75 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

15 points

17.3.

Activities and learning

10 points

17.4.

Final exam

60 points

18.

Grading criteria (points / grade)

up to 50 points

5 (five) (F)

from 51 to 60 points

6 (six) (E)

from 61 to 70 points

7 (seven) (D)

from 71 to 80 points

8 (eight) (C)

from 81 to 90 points

9 (nine) (B)

from 91 to 100 points

10 (ten) (A)

19.

Condition for signature and taking final exam

Реализирани активности 15, 16

20.

Language of instruction

Македонски и англиски

21.

Quality assurance method

/

22.

Literature

22.1.

Mandatory literature

No.

Author

Title

Publisher

Year

3118

Neil C. Jones and Pavel A. Pevzner

An Introduction to Bioinformatics Algorithms

MIT Press

2004

3119

Harvey Lodish, Arnold Berk, Chris A. Kaiser, Monty Krieger, Anthony Bretscher, Hidde Ploegh, Angelika Amon, Matthew P. Scott

Molecular Cell Biology -8th edition

W. H. Freeman

2016

3120

Andreas D. Baxevanis, Gary D. Bader, David S. Wishart

Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins 4th Edition

Wiley

2020

3121

Dev Bukhsh Singh, Rajesh Kumar Pathak

Bioinformatics: Methods and Applications

Elsevier Science

2021

3122

Ken Youens-Clark

Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing 1st Edition

O`REILLY

2021

3123

Miguel Rocha, Pedro G. Ferreira

Bioinformatics Algorithms: Design and Implementation in Python 1st Edition

Academic Press

2018

22.2.

Additional literature

No.

Author

Title

Publisher

Year