Gene Family Analysis
Veranstaltungstyp: Blockveranstaltung
Beschreibung: Genes that are the subject of studies in eukaryotic model systems often occur in large families. Understanding these families of related genes is thus often part of various projects — often even being a prerequisite for lab-based investigations. It is an everyday application of bioinformatics. In this course, students will learn about the approaches, assumptions, and “do’s and don’ts” in gene family analyses.
On day one, the participants will be given a theoretical background to provide a conceptual framework and a recap on tree thinking; first examples will be discussed. On day two, we will delve into examples and hands-on application.
The course is free of charge.

Important:
Once participation has become binding after the signing-out period, cancellation is only possible via the GGNB or GAUSS Office with a) sick certificate, or b) statement by supervisor for scientific reasons. If you do not provide this, you will be excluded from courses for the next 12 months, as well as travel grants and other financial support. No exceptions.

By signing up you agree (1) to carefully check whether you will be able to attend the course (do not register for 2 courses taking place on the same dates - the above mentioned sanctions apply!), (2) to frequently check your student e-mail account, as all information on courses will exclusively be sent to that account; (3) that your name and e-mail address may be forwarded to the course instructor(s) for communication before and after the course; (4) to complete the course evaluation; (5) inform us if you no longer wish to maintain a waiting list position.
Ort: ( ())
Semester: SoSe 2026
Zeiten: Termine am Donnerstag, 18.06.2026 - Freitag, 19.06.2026 10:00 - 16:00
Erster Termin: Donnerstag, 18.06.2026 10:00 - 16:00, Ort: (())
Veranstaltungsnummer: 340462
Sonstiges: Online via ZOOM
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Göttinger Graduiertenzentrum für Neurowissenschaften, Biophysik und molekulare Biowissenschaften (GGNB)
beteiligte Institute: Georg-August University School of Science (GAUSS) (für Mathematik und Naturwissenschaften)
In Stud.IP angemeldete Teilnehmer: 12
Anzahl der Postings im Stud.IP-Forum: 2
Anzahl der Dokumente im Stud.IP-Downloadbereich: 1
Link zu Stud.IP