Home > Publications database > Tutorial: The siibra toolsuit for accessing the EBRAINS human brain atlas > print |
001 | 1033608 | ||
005 | 20241213210708.0 | ||
037 | _ | _ | |a FZJ-2024-06488 |
041 | _ | _ | |a English |
100 | 1 | _ | |a Dickscheid, Timo |0 P:(DE-Juel1)165746 |b 0 |u fzj |
111 | 2 | _ | |a INM Retreat 2024 |c Jülich |d 2024-11-19 - 2024-11-19 |w Germany |
245 | _ | _ | |a Tutorial: The siibra toolsuit for accessing the EBRAINS human brain atlas |
260 | _ | _ | |c 2024 |
336 | 7 | _ | |a lecture |2 DRIVER |
336 | 7 | _ | |a Generic |0 31 |2 EndNote |
336 | 7 | _ | |a MISC |2 BibTeX |
336 | 7 | _ | |a Lecture |b lecture |m lecture |0 PUB:(DE-HGF)17 |s 1734073422_7859 |2 PUB:(DE-HGF) |x Outreach |
336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
336 | 7 | _ | |a Text |2 DataCite |
520 | _ | _ | |a iibra is a software tool suite implementing an openly accessible brain atlas framework which connects multimodal datasets from different resources to anatomical structures in reference spaces at different spatial scales. The tool suite is designed to address both interactive exploration through an interactive 3D web viewer (siibra-explorer) as well as integration into data analysis and simulation workflows with a comprehensive Python library (siibra-python). In this session, we first introduce the multidimensional concept of the atlas framework and explore some key features such as the BigBrain interactively. We then turn to concrete programming tutorials in Python. These include fetching brain region maps, accessing the BigBrain dataset, and extracting multimodal regional features such as cortical thicknesses, cell and neurotransmitter densities, gene expressions and connectivity data. We will finish with some concrete data analysis examples. |
536 | _ | _ | |a 5254 - Neuroscientific Data Analytics and AI (POF4-525) |0 G:(DE-HGF)POF4-5254 |c POF4-525 |f POF IV |x 0 |
700 | 1 | _ | |a Lothmann, Kimberley |0 P:(DE-Juel1)196766 |b 1 |u fzj |
700 | 1 | _ | |a Simsek, Ahmet Nihat |0 P:(DE-Juel1)196084 |b 2 |u fzj |
700 | 1 | _ | |a Gui, Xiaoyun |0 P:(DE-Juel1)172713 |b 3 |u fzj |
909 | C | O | |o oai:juser.fz-juelich.de:1033608 |p VDB |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)165746 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)196766 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)196084 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)172713 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5254 |x 0 |
914 | 1 | _ | |y 2024 |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
980 | _ | _ | |a lecture |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|