WikiSysop at 10:24, 20 March 2024

2024-03-20T10:24:06Z

← Older revision		Revision as of 12:24, 20 March 2024
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	* Students should bring their own laptop with internet access to class		* Students should bring their own laptop with internet access to class
	* Students should [http://pymol.org/2/#download install PyMol] on their laptops. The PyMOL Education License file will be supplied during class. An introduction to PyMOL can be found ~~[http://wiki~~.~~bio.dtu.dk/teaching/index.php/PyMOL here]~~		* Students should [http://pymol.org/2/#download install PyMol] on their laptops. The PyMOL Education License file will be supplied during class. An introduction to PyMOL can be found '''in a place that does not exist and should be updated'''.
	* Also, students should [https://rstudio.com/products/rstudio/download install Rstudio] on their laptops. Rstudio is free and does not require any license. An introduction can be found [https://datascienceplus.com/introduction-to-rstudio/ here]		* Also, students should [https://rstudio.com/products/rstudio/download install Rstudio] on their laptops. Rstudio is free and does not require any license. An introduction can be found [https://datascienceplus.com/introduction-to-rstudio/ here]
	* The course focuses on computational methods for proteins and peptides in an immunological context, so it is recommended, that students have a grasp of the biochemical profile of each of the [http://www.mathiasbader.de/studium/biology/index.php?lng=en the 20 proteinogenic amino acids]		* The course focuses on computational methods for proteins and peptides in an immunological context, so it is recommended, that students have a grasp of the biochemical profile of each of the [http://www.mathiasbader.de/studium/biology/index.php?lng=en the 20 proteinogenic amino acids]

WikiSysop: Created page with "right '''Course Programme''' '''About''' * '''Course responsible''' [https://www.dtu.dk/person/carolina-barra-quaglia?id=142840&entity=profile Carolina Barra Quaglia] — Associate professor, course responsible. [https://www.dtu.dk/person/morten-nielsen?id=5973&entity=profile Morten Nielsen] — Professor, course responsib..."

2024-03-20T10:18:48Z

Created page with "right '''Course Programme'''  '''About''' * '''Course responsible''' [https://www.dtu.dk/person/carolina-barra-quaglia?id=142840&entity=profile Carolina Barra Quaglia] — Associate professor, course responsible. [https://www.dtu.dk/person/morten-nielsen?id=5973&entity=profile Morten Nielsen] — Professor, course responsib..."

New page

[[File:immunoinformatics_venn_diagram_small.png|right]]

'''Course Programme'''



'''About'''

* '''Course responsible'''

[https://www.dtu.dk/person/carolina-barra-quaglia?id=142840&entity=profile Carolina Barra Quaglia] — Associate professor, course responsible.

[https://www.dtu.dk/person/morten-nielsen?id=5973&entity=profile Morten Nielsen] — Professor, course responsible.

* '''Schedule''': Every year in the fall 13-weeks period, see [https://www.dtu.dk/english/education/student-guide/studying-at-dtu/academic-calendar DTU Academic Calendar]
* '''Location''': See this year's course program above
* '''Exam''': Poster presentation + written exam
* '''Textbook''': No textbook. The learning resources will be stated in the course program
* '''Course Description''': For full course description, please see the [https://kurser.dtu.dk/course/22145 DTU Course Base]

'''General course objectives'''

* The course has an applied focus centered around the suite of prediction servers from the [https://www.healthtech.dtu.dk/Forskning/DIGITAL-HEALTH-AND-BIOLOGICAL-MODELLING/Section-Bioinformatics/Group-Immunoinformatics-and-Machine-Learning IML group]
* Theory and application of computational methods in context with the prediction of immune responses, moreover:
** The involvement of TCR and BCR and MHC class I/II in inducing an immune response
** The structural and genetic characteristics of the TCR and BCR and MHC class I/II and corresponding epitopes
** Computational methods for modeling TCR and BCR and MHC class I/II and respective epitope interactions
** Application and challenges of the above in disease context, i.e. vaccinology of infectious diseases and cancer
* General engineering competencies are included in the form of theory in context with concrete application and group-based project work, where the students are responsible for planning, designing, implementing, and communicating a project.

'''Essential Software and Resources'''

* Students should bring their own laptop with internet access to class
* Students should [http://pymol.org/2/#download install PyMol] on their laptops. The PyMOL Education License file will be supplied during class. An introduction to PyMOL can be found [http://wiki.bio.dtu.dk/teaching/index.php/PyMOL here]
* Also, students should [https://rstudio.com/products/rstudio/download install Rstudio] on their laptops. Rstudio is free and does not require any license. An introduction can be found [https://datascienceplus.com/introduction-to-rstudio/ here]
* The course focuses on computational methods for proteins and peptides in an immunological context, so it is recommended, that students have a grasp of the biochemical profile of each of the [http://www.mathiasbader.de/studium/biology/index.php?lng=en the 20 proteinogenic amino acids]
* A brief introduction to the ''Immunoinformatics and Machine Learning'' group can be found here [https://www.healthtech.dtu.dk/Forskning/DIGITAL-HEALTH-AND-BIOLOGICAL-MODELLING/Section-Bioinformatics/Group-Immunoinformatics-and-Machine-Learning here]

'''Questions?'''

Please read the [https://kurser.dtu.dk/course/22145 detailed course description], for any questions not covered by this, please contact [https://kurser.dtu.dk/course/22145 course responsible]

'''Previous versions of the course'''
* [[22145_Immunological_Bioinformatics_Course_Programme_January_2021|January 2021]]
* [[22145_Immunological_Bioinformatics_Course_Programme_January_2020|January 2020]]
* [[36685_Immunological_Bioinformatics_Course_Program_January_2019|January 2019]]
* [[36685_Immunological_Bioinformatics_Course_Program_January_2018|January 2018]]
* [[27685_Course_programme_2017|June 2017]]

22145 - Immunological Bioinformatics - Revision history

WikiSysop at 10:24, 20 March 2024