Bioinformatics I
BASIC DATA
course listing
A - main register
course code
YSX0010
course title in Estonian
Bioinformaatika I
course title in English
Bioinformatics I
course volume CP
2.00
ECTS credits
3.00
to be declared
yes
fully online course
not
assessment form
Examination
teaching semester
spring
language of instruction
Estonian
English
Prerequisite(s)
Prerequisite 1
Molecular and Cell Biology (LKG0130)
The course is a prerequisite
Bioinformatics II (YSX0020)
Study programmes that contain the course
code of the study programme version
course compulsory
LAAB17/25
yes
LATB22/25
no
Structural units teaching the course
LK - Department of Chemistry and Biotechnology
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Kursuse eesmärgiks on üliõpilastele tutvustada veebipõhiseid andmebaase geenide, nendelt avalduvate RNA ja valgujärjestuste ning geene reguleerivate elementide leidmiseks. Õpitakse saadud järjestusi võrdlema ning disainima praimereid eri tüüpi polümeraasi ahelreaktsiooni katseteks. Tehakse tutvust ka geeniontoloogia põhimõtte ja vastavate veebipõhiste andmebaasidega. Läbitakse sissejuhatus programmeerimiskeelde R.
course aims in English
The aims of the course are to familiarize students with web-based databases used for retrieving information on gene, RNA and protein sequences as well as their regulatory elements. The students will learn to design primers for different common polymerase chain reaction experiments and perform in silico PCR. Gene ontology concepts and relevant databases will be introduced.Gene ontology concepts and relevant databases will be introduced. Students will be familiarized with the basics of R programming language.
learning outcomes in the course in Est.
Kursuse läbinud üliõpilane:
- oskab andmebaasidest leida geenide, transkriptide ja valkude ning nende osade järjestusi;
- oskab iseloomustada tundmatut järjestust ning leida sellele lähim vaste;
- oskab esitada järjestusi, järjestuste motiive ning joondusi sisendina bioinformaatika programmidele;
- teab, kuidas disainida praimereid erinevat tüüpi polümeraasi ahelreaktsioonide läbiviimiseks ja testida olemasolevaid praimerjärjestusi;
- oskab leida ühiseid nimetajaid geenigruppidele ontoloogia seisukohast;
- tunneb programmeerimisekeele R põhikäske andmete sisestamiseks, lihtsamaks analüüsiks ja tulemuste salvestamiseks.
learning outcomes in the course in Eng.
After completing the course the student:
- is be able to find sequences of DNA, RNA and proteins and their motifs;
- can characterize unknown sequences and find their closest equivalents;
- is able to present sequences, sequence motifs and alignments in relevant input formats to various bioinformatic programs;
- knows how to design primers for polymerase chain reactions of various types and to test primer sequences;
- can find common gene ontology denominators;
- knows fundamental R syntaxes for data import, basic analysis and export.
brief description of the course in Estonian
Õppeaine on mõeldud eelkõige üliõpilastele, kes ei kasuta igapäevaselt bioinformaatilisi vahendeid oma teadustöös. Kursuse käigus selgitatakse bioinformaatiliste meetodite võimalusi erinevate bioloogiliste probleemide lahendamisel. Tutvutakse erinevate veebipõhiste andmebaasidega, mille abil leida otsitavate nukleiinhapete ja valkude järjestusi, õpitakse saadud järjestusi joondama. Tutvutakse praimerdisaini põhimõtetega ning õpitakse grupeerima geenirühmi ontoloogiate alusel.
brief description of the course in English
https://moodle.hitsa.ee/enrol/index.php?id=20709

The course is mainly targeted for students who do not use bioinformatics in their daily scientific work. The possibilities of bioinformatics methods in solving various biological problems will be explained. Students will be introduced to several web-based databases used for retrieving DNA, RNA and protein sequence information and for aligning those sequences. The concepts of PCR primer design and gene ontology will be presented.The concepts of PCR primer design and gene ontology will be presented. Students will be introduced to the programming environment R.
type of assessment in Estonian
-
type of assessment in English
-
independent study in Estonian
-
independent study in English
-
study literature
Maido Remm „Bioinformaatika";
Teadusartikleid jagatakse kursuse käigus
will be distributed during the course
study forms and load
daytime study: weekly hours
2.0
session-based study work load (in a semester):
lectures
0.5
lectures
-
practices
0.0
practices
-
exercises
1.5
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2024/2025 spring
Agne Velthut-Meikas, LK - Department of Chemistry and Biotechnology
Estonian
    YSX0010 grading criteria.pdf 
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    2023/2024 spring
    Agne Velthut-Meikas, LK - Department of Chemistry and Biotechnology
    Estonian
      2022/2023 spring
      Agne Velthut-Meikas, LK - Department of Chemistry and Biotechnology
      Estonian
        2020/2021 spring
        Agne Velthut-Meikas, LK - Department of Chemistry and Biotechnology
        Estonian
          2019/2020 spring
          Agne Velthut-Meikas, LK - Department of Chemistry and Biotechnology
          Estonian
            2018/2019 spring
            Agne Velthut-Meikas, LK - Department of Chemistry and Biotechnology
            Estonian
              2017/2018 spring
              Agne Velthut-Meikas, LK - Department of Chemistry and Biotechnology
              Estonian
                2016/2017 spring
                Toomas Tiivel, LK - Department of Chemistry and Biotechnology
                Estonian
                  2015/2016 spring
                  Toomas Tiivel, LK - Department of Chemistry and Biotechnology
                  Estonian
                    2014/2015 spring
                    Anu Aaspõllu, LK - Department of Chemistry and Biotechnology
                    Estonian
                      Course description in Estonian
                      Course description in English