course website
https://www.biostat.wisc.edu/bmi776/
and https://www.biostat.wisc.edu/bmi776/syllabus.html
canvas for intro bioinformatics. This was the previous website in 2017, https://www.biostat.wisc.edu/bmi576/syllabus.html
course website
https://www.biostat.wisc.edu/bmi776/
and https://www.biostat.wisc.edu/bmi776/syllabus.html
canvas for intro bioinformatics. This was the previous website in 2017, https://www.biostat.wisc.edu/bmi576/syllabus.html
Published: 05 January 2022
Decoding gene regulation in the fly brain
Jasper Janssens, Sara Aibar, Ibrahim Ihsan Taskiran, Joy N. Ismail, Alicia Estacio Gomez, Gabriel Aughey, Katina I. Spanier, Florian V. De Rop, Carmen Bravo González-Blas, Marc Dionne, Krista Grimes, Xiao Jiang Quan, Dafni Papasokrati, Gert Hulselmans, Samira Makhzami, Maxime De Waegeneer, Valerie Christiaens, Tony Southall & Stein Aerts Nature (2022)
Nature paper today on Fly brain GRNs, https://doi.org/10.1038/s41586-021-04262-z
Some integrative analyses might be useful…
https://mailchi.mp/add7f814b67d/neurodevelopments-720229
https://www.libd.org/neurodevelopments/
the Lieber’s neuroDEVELOPMENTS newsletter, which features the PsychENCODE paper
https://www.nature.com/articles/nature25980
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex
Suijuan Zhong
, Shu Zhang
[…]
Xiaoqun Wang
Nature
doi:10.1038/nature25980
Common #schizophrenia alleles are enriched in mutation-intolerant genes & in regions under strong background selection
https://www.nature.com/articles/s41588-018-0059-2 50 novel SCZ loci & 145 loci in total, from #GWAS – associated w/ 33 candidate causal genes
QT:{{”
We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci.
“}}
Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection
Nature Genetics (2018)
doi:10.1038/s41588-018-0059-2
Brain #transcriptome diversity at the single cell level
http://www.PNAS.org/content/112/23/7285 Has useful gene-exp. profiles of specific neural cell types
has profiles for 185 biomarker genes for 6 cell types
https://bioconductor.org/packages/release/bioc/html/variancePartition.html
new tool in psychencode meeting
Similarity #network fusion for aggregating data types
http://www.nature.com/nmeth/journal/v11/n3/full/nmeth.2810.html Combines mRNA, miRNA & gene fusions to classify cancer subtypes http://compbio.cs.toronto.edu/SNF/SNF