Standard methods are explained inside the report at the end.
"The authors would like to thank Lorena Pantano of the PILM Bioinformatics Core, Picower Institute of Learning and Memory, Cambridge, MA for assistance with RNAseq analysis."
https://github.mit.edu/pages/PILM-bioinformatics/knowledgebase/admin/projects/
Temporarly in OpenMind /om/user/lpantano/projects/PROJECT_NAME
Shared dropbox: https://www.dropbox.com/home/DROPBOX_PATH/PI/PROJECT_NAME
Inside reports
folders:
meta_de_results.csv.gz
: all genes results from DE analysisFunctional analysis: Look at the tip of the week in this newsletter to know the options: https://github.mit.edu/pages/PILM-bioinformatics/secure-newsletters/2019/05/pilm-bioinformatics-newsletter-week-20-functional-analysis-do-it-right/
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