The Geschwind Lab

Resources

Network browser of AD proteomic consensus network from Swarup, Chang et al. Cell Reports 2020: https://labs.dgsom.ucla.edu/geschwind/files/view/html/ADpNET.html

eQTL browser, from Walker et al. Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms.: https://labs.dgsom.ucla.edu/geschwind/pages/eqtl-browser.

We provide a web-based browser that permits querying by gene or by cell type for expression during human brain development. from A Single-Cell Transcriptomic Atlas of Human Neocortical Development during Mid-gestation: Neuron 2019 http://geschwindlab.dgsom.ucla.edu/pages/codexviewer

Visual browser of the PsychENCODE transcriptome network capstone data. From Gandal et al. Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder. Science 2018: https://pintolab.mssm.edu/papers/crossdisorder2018_netgraphs/

General resources for the PsychENCODE consortium: http://resource.psychencode.org/

The UCLA Center for Autism Treatment and Research: https://www.semel.ucla.edu/autism

The Geschwind Lab Github Page: https://github.com/dhglab/

A web tool for determining the composition and stage of stem cell-based neuronal models in a dish. from Stein et al., Neuron 2019 Context: https://context.semel.ucla.edu/

A tool for Transcription Factor binding predictions from transcriptional networks: https://tfenrichment.semel.ucla.edu/

WGCNA tutorials: https://labs.genetics.ucla.edu/horvath/CoexpressionNetwork/Rpackages/WGCNA/Tutorials/

Tutorials on the ATAC-seq protocol (Word document): https://labs.dgsom.ucla.edu/geschwind/files/view/docs/ATAC-Seq_Protocol.docx

Interactive human brain development co-expression network, from Parikshak et al, Cell 2013: https://labs.dgsom.ucla.edu/geschwind/files/view/html/ParikshakDevelopmentalCortexNetwork.html

MSigDB gene set collections, including pathway and transcription factor gene sets: https://www.gsea-msigdb.org/gsea/msigdb/collections.jsp