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Introduction to Genetics and Bioinformatics
this note is under construction*
General bioinformatics resources https://doi.org/10.1093/brain/awz295 https://doi.org/10.1038/s41588-019-0385-z https://doi.org/10.1016/j.biopsych.2020.05.022
A course on methods for imaging genetics https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/nichols/presentations/ohbm2014/imggen
Review on genetics of brain connectivity: https://pubmed.ncbi.nlm.nih.gov/34508898/
Nonlinear mapping of AHBA coordinates Package: https://github.com/chrisgorgo/alleninf Coords: https://github.com/chrisgorgo/alleninf/blob/master/alleninf/data/corrected_mni_coordinates.csv
Spatial transcriptomics Brief introduction to different methods: https://t.co/EfFz0gDx4D
Workflow for scRNAseq analysis https://satijalab.org/seurat/articles/spatial_vignette.html
Introductory reviews: https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-022-01075-1
https://genome.cshlp.org/content/31/10/1706
https://www.nature.com/articles/s41592-022-01409-2
https://www.nature.com/articles/s41587-021-01182-1
https://www.nature.com/articles/s41467-021-25557-9
Datasets and other resources: https://docs.google.com/spreadsheets/d/1sJDb9B7AtYmfKv4-m8XR7uc3XXw_k4kGSout8cqZ8bY/edit#gid=1363594152 Benchmarking of different methods: https://twitter.com/sanjusinha7/status/1578434020643205120?s=43&t=4Xlp8-6biPf9Ykb36VBmOw
https://www.sciencedirect.com/science/article/pii/S1672022922000845
https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-022-01075-1
Using the Allen atlas https://pubmed.ncbi.nlm.nih.gov/22996553/ https://pubmed.ncbi.nlm.nih.gov/30455082/ https://pubmed.ncbi.nlm.nih.gov/36324650/ https://pubmed.ncbi.nlm.nih.gov/30648605/ https://pubmed.ncbi.nlm.nih.gov/34783653/ https://pubmed.ncbi.nlm.nih.gov/36725139/
Heritability
A nice review article: https://doi.org/10.1038/s41562-023-01609-6
- 0.0 Home
- 0.1 Neuroscience fundamentals
- 0.2 Reproducible Science
- 0.3 MRI Physics, BIDS, DICOM, and data formats
- 0.4 Introduction to Diffusion MRI
- 0.5 Introduction to Functional MRI
- 0.6 Measuring functional and effective connectivity
- 0.7 Connectomics, graph theory, and complexity
- 0.8 Statistical and Mathematical Tidbits
- 0.9 Introduction to Psychopathology
- 0.10 Introduction to Genetics and Bioinformatics
- 0.11 Neural field theory and eigenmodes
- 0.12 Introduction to Programming
- 1.0 Working on the Cluster
- 2.0 Programming Languages
- 2.1 Python
- 2.1.1 Getting Set Up
- 2.1.2 Applications of Python in Neuroimaging
- 2.2 MATLAB
- 2.3 R and RStudio
- 2.4 Programming Intro Exercises
- 2.5 git and GitHub
- 2.6 SLURM and Job Submission
- 2.1 Python
- 3.0 Neuroimaging Tools and Packages
- 3.1 BIDS
- 3.2 FreeSurfer
- 3.2.1 Qdec
- 3.3 FSL
- 3.3.1 ICA-FIX
- 3.4 Connectome Workbench/wb_command
- 3.5 fMRIPrep
- 3.6 QSIPrep
- 3.7 HCP Pipeline
- 3.8 tedana
- 4.0 Quality control
- 4.1 MRIQC
- 4.2 Common Artefacts
- 4.3 T1w
- 4.4 rs-fMRI
- 5.0 Specialist Tools
- 6.0 Putting it all together
- 7.0 Data management