22145 c22145 https://teaching.healthtech.dtu.dk/22145/index.php/22145_-_Immunological_Bioinformatics MediaWiki 1.41.0 first-letter Media Special Talk User User talk 22145 22145 talk File File talk MediaWiki MediaWiki talk Template Template talk Help Help talk Category Category talk 0 7 9 7 2024-03-20T10:24:06Z WikiSysop 1 9 wikitext text/x-wiki [[File:immunoinformatics_venn_diagram_small.png|right]] '''Course Programme''' <!-- * [[22145_Immunological_Bioinformatics_Course_Programme_Fall_2023|Fall 2023]] --> '''About''' * '''Course responsible''' [https://www.dtu.dk/person/carolina-barra-quaglia?id=142840&entity=profile Carolina Barra Quaglia] &mdash; Associate professor, course responsible. [https://www.dtu.dk/person/morten-nielsen?id=5973&entity=profile Morten Nielsen] &mdash; 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 '''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] * 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]] b3p6ged5u3v6c1ns1kibsorqh05igj4