300362 UE Applied Data Analysis (2024S)
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 08.02.2024 14:00 bis Do 22.02.2024 18:00
- Abmeldung bis Fr 15.03.2024 18:00
Details
max. 15 Teilnehmer*innen
Sprache: Englisch
Lehrende
- Oleg Simakov
- Georgios Efthymiadis (TutorIn)
Termine (iCal) - nächster Termin ist mit N markiert
Initial meeting on March 18th at 3pm at UBB (SR1.3).
Montag
18.03.
15:00 - 16:30
Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
(Vorbesprechung)
Montag
22.04.
08:00 - 18:15
Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
Mittwoch
24.04.
08:00 - 18:15
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Donnerstag
25.04.
08:00 - 18:15
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Montag
29.04.
08:00 - 18:15
Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
Dienstag
30.04.
08:00 - 18:15
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Freitag
03.05.
08:00 - 18:15
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Montag
06.05.
08:00 - 18:15
Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
Dienstag
07.05.
08:00 - 18:15
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Montag
13.05.
08:00 - 18:15
Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
Dienstag
14.05.
08:00 - 13:00
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Dienstag
14.05.
13:15 - 18:15
Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
In this course we will learn about modern high-throughput methodologies and get hands-on experience with new methods and real data. We will discuss sequencing technology, experiment design, quality control, assembly, read mapping and counting, differential expression analysis, expression profiles and principal components analysis.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Exercises will be done throughout the course as a part of a collective analysis.
Mindestanforderungen und Beurteilungsmaßstab
There are 10 days of the course. Presence on at least 8 days is required. The grade will be based on course participation (20%) and the final report in a form of a scientific paper outlining the aims and analyses completed during the course, as well as potential future directions (80%).
Students are recommended but not required to take 300353 UE Applied programming for Bioinformatics, or have a basic grounding in Unix and BASH shell scripting.
Students are recommended but not required to take 300353 UE Applied programming for Bioinformatics, or have a basic grounding in Unix and BASH shell scripting.
Prüfungsstoff
A final report describing the methods used as well as an analysis of the data will be required after completion of the course. Attendance and participation are also graded.
Literatur
Zuordnung im Vorlesungsverzeichnis
MES6, MMEI III, MGE III-2, MMB W-2, MMB W-3, M-WZB, MMB IV., MNEU V.
Letzte Änderung: Di 16.04.2024 15:06